Übersicht über Algorithmen zur Rückgewinnung der sonneninduzierten Chlorophyllfluoreszenz für die Fernerkundung aus Weltraum, Luft und Erdoberfläche

  • role: First author第一作者
  • Affiliation:

    International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

  • Email:taoshiyu20@mails.ucas.ac.cn
  • Introduction:绿E-mail taoshiyu20@mails.ucas.ac.cn
TAO Shiyu12,  
  • Affiliation:

    Department of Geography and Planning, University of Toronto ,Toronto M5S3G 3

CHEN Jingming3,  
  • Affiliation:

    International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China

    Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China

    Jiangsu Center for Collaborative Innovation in Novel Software Technology and Industrialization, Nanjing 210023, China

ZHANG Yongguang145,  
  • Affiliation:

    International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

WU Linsheng12,  
  • role: Corresponding author通信作者
  • Affiliation:

    International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

  • Email:zhaoying_zhang@nju.edu.cn
  • Introduction:绿E-mailzhaoying_zhang@nju.edu.cn
ZHANG Zhaoying12*

Resümee

Die sonneninduzierte Chlorophyllfluoreszenz (SIF) ist ein spektrales Signal, das entsteht, wenn Chlorophyll in Pflanzen durch Sonnenlicht angeregt wird. Sie ist ein Schlüsselindikator für die genaue Überwachung der Photosynthese und hat große Bedeutung für die Überwachung des Kohlenstoff-Wasser-Kreislaufs in terrestrischen Ökosystemen. In den letzten Jahren wurden durch die integrierte Entwicklung der "Stern-Himmel-Erde"-Fernerkundungstechnologie zur Fluoreszenz bedeutende Fortschritte bei der SIF-Rückgewinnung erzielt. Dieser Artikel beginnt mit den SIF-Rückgewinnungsalgorithmen, Plattformen und Geräten, fasst systematisch die Merkmale, Vorteile und Einschränkungen verschiedener SIF-Rückgewinnungsalgorithmen zusammen; analysiert die Entwicklung der Rückgewinnungsgeräte auf bodennahen und luft- sowie raumfahrtbasierten Beobachtungsplattformen; und diskutiert aktuelle Probleme sowie zukünftige Entwicklungstrends der SIF-Rückgewinnung.

Schlüsselwort

Chlorophyllfluoreszenz; Fernerkundung; Fernerkundungsgeräte; Schätzmethoden; Umweltüberwachung; Multiplattform; Kohlenstoff-Wasser-Kreislauf

References

  1. 1.
    Aggarwal P, Syed Z, Niu X J and El-Sheimy N. 2008. A standard testing and calibration procedure for low cost MEMS inertial sensors and units. The Journal of Navigation, 61(2): 323-336
  2. 2.
    Albert L P, Cushman K C, Zong Y Q, Allen D W, Alonso L and Kellner J R. 2023. Sensitivity of solar-induced fluorescence to spectral stray light in high resolution imaging spectroscopy. Remote Sensing of Environment, 285: 113313
  3. 3.
    Alonso L, Sabater N, Vicent J, Cogliati S, Rossini M and Moreno J. 2014. Novel algorithm for the retrieval of solar-induced fluorescence from hyperspectral data based on peak height of apparent reflectance at absorption features//Proceedings of the 5th International Workshop on Remote Sensing of Vegetation Fluorescence. Paris: ESA: 53-54
  4. 4.
    Alonso L, Sabater N, Vicent J, Cogliati S, Rossini M and Moreno J. 2014. Novel algorithm for the retrieval of solar-induced fluorescence from hyperspectral data based on peak height of apparent reflectance at absorption features//Proceedings of the 5th International Workshop on Remote Sensing of Vegetation Fluorescence. Paris: CNES: 22
  5. 5.
    Alonso L, Sabater N, Vicent J, Mihai L and Moreno J. 2018. Atmospheric and instrumental effects on the fluorescence remote sensing retrieval//IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia: IEEE: 3939-3942
  6. 6.
    Amoros-Lopez J, Gomez-Chova L, Vila-Frances J, Alonso L, Calpe J, Moreno J and del Valle-Tascon S. 2008. Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles. International Journal of Remote Sensing, 29(17/18): 5423-5436
  7. 7.
    Atherton J, MacArthur A, Hakala T, Maseyk K, Robinson I, Liu W, Honkavaara E and Porcar-Castell A. 2018. Drone measurements of solar-induced chlorophyll fluorescence acquired with a low-weight DFOV spectrometer system//IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia: IEEE: 8834-8836
  8. 8.
    Baker N R. 2008. Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annual Review of Plant Biology, 59: 89-113
  9. 9.
    Bandopadhyay S, Rastogi A and Juszczak R. 2020. Review of top-of-canopy sun-induced fluorescence (SIF) studies from ground, UAV, airborne to spaceborne observations. Sensors, 20(4): 1144
  10. 10.
    Bang J, Lee W S, Park B, Joh H, Woo H K, Jeon S, Ahn J, Jeong C, Kim T I and Oh S J. 2019. Highly sensitive temperature sensor: ligand-treated Ag nanocrystal thin films on PDMS with thermal expansion strategy. Advanced Functional Materials, 29(32): 1903047
  11. 11.
    Belwalkar A, Poblete T, Longmire A, Hornero A, Hernández-Clemente R and Zarco-Tejada P J. 2022. Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: modelling and validation in the context of plant phenotyping. Remote Sensing of Environment, 273: 112986
  12. 12.
    Belwalkar A, Poblete T, Longmire A, Hornero A and Zarco-Tejada P J. 2021. Comparing the retrieval of chlorophyll fluorescence from two airborne hyperspectral imagers with different spectral resolutions for plant phenotyping studies//2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels: IEEE: 5845-5848
  13. 13.
    Bendig J, Malenovský Z, Gautam D and Lucieer A. 2020. Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform motion correction. IEEE Transactions on Geoscience and Remote Sensing, 58(5): 3437-3444
  14. 14.
    Berthold J W, Jacobs S F and Norton M A. 1977. Dimensional stability of fused silica, invar, and several ultra-low thermal expansion materials. Metrologia, 13(1): 9-16
  15. 15.
    Borel C C, Gerstl S A W and Powers B J. 1991. The radiosity method in optical remote sensing of structured 3-D surfaces. Remote Sensing of Environment, 36(1): 13-44
  16. 16.
    Buareal K, Kato T, Morozumi T, Ono K and Nakashima N. 2023. Red solar-induced chlorophyll fluorescence as a robust proxy for ecosystem-level photosynthesis in a rice field. Agricultural and Forest Meteorology, 336: 109473
  17. 17.
    Buffat J, Pato M, Alonso K, Auer S, Carmona E, Maier S, Müller R, Rademske P, Rascher U and Scharr H. 2025. Retrieval of sun-induced plant fluorescence in the O2-A absorption band from DESIS imagery//Computer Vision – ECCV 2024 Workshops. Milan: Springer: 81-100
  18. 18.
    Burkart A, Schickling A, Mateo M P C, Wrobel T J, Rossini M, Cogliati S, Julitta T and Rascher U. 2015. A method for uncertainty assessment of passive sun-induced chlorophyll fluorescence retrieval using an infrared reference light. IEEE Sensors Journal, 15(8): 4603-4611
  19. 19.
    Buschmann C. 2007. Variability and application of the chlorophyll fluorescence emission ratio red/far-red of leaves. Photosynthesis Research, 92(2): 261-271
  20. 20.
    Celesti M, Van der Tol C, Cogliati S, Panigada C, Yang P Q, Pinto F, Rascher U, Miglietta F, Colombo R and Rossini M. 2018. Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion. Remote Sensing of Environment, 215: 97-108
  21. 21.
    Cendrero-Mateo M P, Wieneke S, Damm A, Alonso L, Pinto F, Moreno J, Guanter L, Celesti M, Rossini M, Sabater N, Sabater N, Cogliati S, Julitta T, Rascher U, Goulas Y, Aasen H, Pacheco-Labrador J and Mac Arthur A. 2019. Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing. Remote Sensing, 11(8): 962
  22. 22.
    Chang C Y, Guanter L, Frankenberg C, Köhler P, Gu L H, Magney T S, Grossmann K and Sun Y. 2020a. Systematic assessment of retrieval methods for canopy far-red solar-induced chlorophyll fluorescence using high-frequency automated field spectroscopy. Journal of Geophysical Research: Biogeosciences, 125(7): e2019JG005533
  23. 23.
    Chang C Y, Zhou R Q, Kira O, Marri S, Skovira J, Gu L H and Sun Y. 2020b. An Unmanned Aerial System (UAS) for concurrent measurements of solar-induced chlorophyll fluorescence and hyperspectral reflectance toward improving crop monitoring. Agricultural and Forest Meteorology, 294: 108145
  24. 24.
    Chen R N, Liu L Y and Liu X J. 2022a. Leaf chlorophyll contents dominates the seasonal dynamics of SIF/GPP ratio: evidence from continuous measurements in a maize field. Agricultural and Forest Meteorology, 323: 109070
  25. 25.
    Chen S L, Stark S C, Nobre A D, Cuartas L A, de Jesus Amore D, Restrepo-Coupe N, Smith M N, Chitra-Tarak R, Ko H, Nelson B W and Saleska S R. 2024. Amazon forest biogeography predicts resilience and vulnerability to drought. Nature, 631(8019): 111-117
  26. 26.
    Chen X G, Huang Y F, Nie C, Zhang S, Wang G Q, Chen S L and Chen Z C. 2022b. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms. Scientific Data, 9(1): 427
  27. 27.
    Cogliati S, Rossini M, Julitta T, Meroni M, Schickling A, Burkart A, Pinto F, Rascher U and Colombo R. 2015a. Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems. Remote Sensing of Environment, 164: 270-281
  28. 28.
    Cogliati S, Verhoef W, Kraft S, Sabater N, Alonso L, Vicent J, Moreno J, Drusch M and Colombo R. 2015b. Retrieval of sun-induced fluorescence using advanced spectral fitting methods. Remote Sensing of Environment, 169: 344-357
  29. 29.
    Coppo P, Taiti A, Pettinato L, Francois M, Taccola M and Drusch M. 2017. Fluorescence imaging spectrometer (FLORIS) for ESA FLEX mission. Remote Sensing, 9(7): 649
  30. 30.
    Corp L, Middleton E, Daughtry C and Campbell P. 2006. Solar induced fluorescence and reflectance sensing techniques for monitoring nitrogen utilization in corn//2006 IEEE International Symposium on Geoscience and Remote Sensing. Denver: IEEE: 2267-2270
  31. 31.
    Cui T X, Sun R, Xiao Z Q, Liang Z Y and Wang J. 2020. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework. Agricultural and Forest Meteorology, 295: 108169
  32. 32.
    Damm A, Cogliati S, Colombo R, Fritsche L, Genangeli A, Genesio L, Hanus J, Peressotti A, Rademske P, Rascher U, Schuettemeyer D, Siegmann B, Sturm J and Miglietta F. 2022. Response times of remote sensing measured sun-induced chlorophyll fluorescence, surface temperature and vegetation indices to evolving soil water limitation in a crop canopy. Remote Sensing of Environment, 273: 112957
  33. 33.
    Damm A, Erler A, Hillen W, Meroni M, Schaepman M E, Verhoef W and Rascher U. 2011. Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 115(8): 1882-1892
  34. 34.
    Damm A, Guanter L, Paul-Limoges E, Van der Tol C, Hueni A, Buchmann N, Eugster W, Ammann C and Schaepman M E. 2015a. Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: an assessment based on observational and modeling approaches. Remote Sensing of Environment, 166: 91-105
  35. 35.
    Damm A, Guanter L, Verhoef W, Schläpfer D, Garbari S and Schaepman M E. 2015b. Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data. Remote Sensing of Environment, 156: 202-215
  36. 36.
    Daumard F, Champagne S, Fournier A, Goulas Y, Ounis A, Hanocq J F and Moya I. 2010. A field platform for continuous measurement of canopy fluorescence. IEEE Transactions on Geoscience and Remote Sensing, 48(9): 3358-3368
  37. 37.
    Dechant B, Ryu Y, Badgley G, Köhler P, Rascher U, Migliavacca M, Zhang Y G, Tagliabue G, Guan K Y, Rossini M, Goulas Y, Zeng Y L, Frankenberg C and Berry J A. 2022. NIRVP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales. Remote Sensing of Environment, 268: 112763
  38. 38.
    Ding Y B, He X F, Zhou Z Q, Hu J, Cai H J, Wang X Y, Li L S, Xu J T and Shi H Y. 2022. Response of vegetation to drought and yield monitoring based on NDVI and SIF. Catena, 219: 106328
  39. 39.
    Drusch M, Moreno J, Del Bello U, Franco R, Goulas Y, Huth A, Kraft S, Middleton E M, Miglietta F, Mohammed G, Nedbal L, Rascher U, Schuttemeyer D and Verhoef W. 2017. The fluorescence explorer mission concept—ESA’s earth explorer 8. IEEE Transactions on Geoscience and Remote Sensing, 55(3): 1273-1284
  40. 40.
    Du S S. 2020. Retrieval of Solar-Induced Chlorophyll Fluorescence Based on Domestic Satellites. Beijing: Aerospace Information Research Institute, Chinese Academy of Sciences
  41. 41.
    Du S S, Liu L Y, Liu X J, Guo J, Hu J C, Wang S Q and Zhang Y G. 2019. SIFSpec: measuring solar-induced chlorophyll fluorescence observations for remote sensing of photosynthesis. Sensors, 19(13): 3009
  42. 42.
    Du S S, Liu L Y, Liu X J, Zhang X, Zhang X Y, Bi Y M and Zhang L C. 2018. Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite. Science Bulletin, 63(22): 1502-1512
  43. 43.
    Du S S, Liu X J, Chen J D, Duan W N and Liu L Y. 2023. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach. Remote Sensing of Environment, 290: 113547
  44. 44.
    Du S S, Liu X J, Chen J D and Liu L Y. 2022. Prospects for solar-induced chlorophyll fluorescence remote sensing from the SIFIS payload onboard the TECIS-1 satellite. Journal of Remote Sensing, 2022: 9845432
  45. 45.
    Du S S, Zhao D R, Guan L L, Liu X J and Liu L Y. 2024. Improving red solar-induced chlorophyll fluorescence retrieval using a data-driven reflectance reconstruction method. IEEE Transactions on Geoscience and Remote Sensing, 62: 4415514
  46. 46.
    Evain S, Camenen L and Moya I. 2001. Three channels detector for remote sensing of chlorophyll fluorescence and reflectance from vegetation// 8th international symposium: Physical measurements and signatures in remote sensing, Aussois, CNES, 395-400
  47. 47.
    Evain S, Ounis A, Baret F, Goulas Y, Louis J, Ducruet J M, Cerovic Z G and Moya I. 2002. Passive vegetation fluorosensing using atmospheric oxygen absorption bands Recent Advances in Quantitative Remote Sensing, Valencia, Universitat de València Press: 16-20
  48. 48.
    Farquhar G D, von Caemmerer S and Berry J A. 1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta, 149(1): 78-90
  49. 49.
    Fereidouni F, Bader A N and Gerritsen H C. 2012. Spectral phasor analysis allows rapid and reliable unmixing of fluorescence microscopy spectral images. Optics Express, 20(12): 12729-12741
  50. 50.
    Fischler M A and Bolles R C. 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6): 381-395
  51. 51.
    Fournier A, Daumard F, Champagne S, Ounis A, Goulas Y and Moya I. 2012. Effect of canopy structure on sun-induced chlorophyll fluorescence. ISPRS Journal of Photogrammetry and Remote Sensing, 68: 112-120
  52. 52.
    Fournier A, Goulas Y, Daumard F, Ounis A, Champagne S and Moya I. 2014. Effects of vegetation directional reflectance on sun-induced fluorescence retrieval in the oxygen absorption bands//Proceedings of the 5th International Workshop on Remote Sensing of Vegetation Fluorescence. Paris: 1-5
  53. 53.
    Frankenberg C, Butz A and Toon G C. 2011a. Disentangling chlorophyll fluorescence from atmospheric scattering effects in O2 A-band spectra of reflected sun-light. Geophysical Research Letters, 38(3): L03801
  54. 54.
    Frankenberg C, Drewry D, Geier S, Verma M, Lawson P, Stutz J and Grossmann K. 2016. Remote sensing of solar induced chlorophyll fluorescence from satellites, airplanes and ground-based stations//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing: IEEE: 1707-1710
  55. 55.
    Frankenberg C, Fisher J B, Worden J, Badgley G, Saatchi S S, Lee J E, Toon G C, Butz A, Jung M, Kuze A and Yokota T. 2011b. New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophysical Research Letters, 38(17): L17706
  56. 56.
    Frankenberg C, Köhler P, Magney T S, Geier S, Lawson P, Schwochert M, McDuffie J, Drewry D T, Pavlick R and Kuhnert A. 2018. The Chlorophyll Fluorescence Imaging Spectrometer (CFIS), mapping far red fluorescence from aircraft. Remote Sensing of Environment, 217: 523-536
  57. 57.
    Frankenberg C, O'Dell C, Berry J, Guanter L, Joiner J, Köhler P, Pollock R and Taylor T E. 2014. Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2. Remote Sensing of Environment, 147: 1-12
  58. 58.
    Garzonio R, Di Mauro B, Colombo R and Cogliati S. 2017. Surface reflectance and sun-induced fluorescence spectroscopy measurements using a small hyperspectral UAS. Remote Sensing, 9(5): 472
  59. 59.
    Gastellu-Etchegorry J P, Demarez V, Pinel V and Zagolski F. 1996. Modeling radiative transfer in heterogeneous 3-D vegetation canopies. Remote Sensing of Environment, 58(2): 131-156
  60. 60.
    Gaztelumendi S, de Segura J D G, Gelpi I R, Hernandez R, Egaña J and De Alda K O. 2021. An analysis of new opportunities for operational meteorology in Basque Country based on MTG products and services//EUMETSAT Meteorological Satellite Conference. Virtual: [s.n.]: 417
  61. 61.
    Gentine P and Alemohammad S H. 2018. Reconstructed solar-induced fluorescence: a machine learning vegetation product based on MODIS surface reflectance to reproduce GOME-2 solar-induced fluorescence. Geophysical Research Letters, 45(7): 3136-3146
  62. 62.
    GomezChova L, AlonsoChorda L, Lopez J A, Frances J V, Del ValleTascon S, Calpe J and Moreno J. 2006. Solar induced fluorescence measurements using a field spectroradiometer. AIP Conference Proceedings, 852(1): 274-281
  63. 63.
    Goulas Y, Fournier A, Daumard F, Champagne S, Ounis A, Marloie O and Moya I. 2017. Gross primary production of a wheat canopy relates stronger to far red than to red solar-induced chlorophyll fluorescence. Remote Sensing, 9(1): 97
  64. 64.
    Gower J F R and Borstad G A. 1990. Mapping of phytoplankton by solar-stimulated fluorescence using an imaging spectrometer. International Journal of Remote Sensing, 11(2): 313-320
  65. 65.
    Grossmann K, Frankenberg C, Magney T S, Hurlock S C, Seibt U and Stutz J. 2018. PhotoSpec: a new instrument to measure spatially distributed red and far-red Solar-Induced Chlorophyll Fluorescence. Remote Sensing of Environment, 216: 311-327
  66. 66.
    Gu L, Wood J D, Chang C Y Y, Sun Y and Riggs J S. 2019. Advancing terrestrial ecosystem science with a novel automated measurement system for sun-induced chlorophyll fluorescence for integration with eddy covariance flux networks. Journal of Geophysical Research: Biogeosciences, 124(1): 127-146
  67. 67.
    Guan K Y, Berry J A, Zhang Y G, Joiner J, Guanter L, Badgley G and Lobell D B. 2016. Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence. Global Change Biology, 22(2): 716-726
  68. 68.
    Guanter L, Aben I, Tol P, Krijger J M, Hollstein A, Köhler P, Damm A, Joiner J, Frankenberg C and Landgraf J. 2015. Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence. Atmospheric Measurement Techniques, 8(3): 1337-1352
  69. 69.
    Guanter L, Alonso L, Gómez-Chova L, Amorós-López J, Vila J and Moreno J. 2007. Estimation of solar-induced vegetation fluorescence from space measurements. Geophysical Research Letters, 34(8): L08401
  70. 70.
    Guanter L, Alonso L, Gómez-Chova L, Meroni M, Preusker R, Fischer J and Moreno J. 2010. Developments for vegetation fluorescence retrieval from spaceborne high-resolution spectrometry in the O2-A and O2-B absorption bands. Journal of Geophysical Research: Atmospheres, 115(D19): D19303
  71. 71.
    Guanter L, Bacour C, Schneider A, Aben I, van Kempen T A, Maignan F, Retscher C, Köhler P, Frankenberg C, Joiner J and Zhang Y G. 2021. The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission. Earth System Science Data, 13(11): 5423-5440
  72. 72.
    Guanter L, Frankenberg C, Dudhia A, Lewis P E, Gómez-Dans J, Kuze A, Suto H and Grainger R G. 2012. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sensing of Environment, 121: 236-251
  73. 73.
    Guanter L, Rossini M, Colombo R, Meroni M, Frankenberg C, Lee J E and Joiner J. 2013. Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space. Remote Sensing of Environment, 133: 52-61
  74. 74.
    Haddad N M, Brudvig L A, Clobert J, Davies K F, Gonzalez A, Holt R D, Lovejoy T E, Sexton J O, Austin M P, Collins C D, Cook W M, Damschen E I, Ewers R M, Foster B L, Jenkins C N, King A J, Laurance W F, Levey D J, Margules C R, Melbourne B A, Nicholls A O, Orrock J L, Song D X and Townshend J R. 2015. Habitat fragmentation and its lasting impact on Earth’s ecosystems. Science Advances, 1(2): e1500052
  75. 75.
    Hao D L, Zeng Y L, Qiu H, Biriukova K, Celesti M, Migliavacca M, Rossini M, Asrar G R and Chen M. 2021. Practical approaches for normalizing directional solar-induced fluorescence to a standard viewing geometry. Remote Sensing of Environment, 255: 112171
  76. 76.
    Hao D L, Zeng Y L, Zhang Z Y, Zhang Y G, Qiu H, Biriukova K, Celesti M, Rossini M, Zhu P, Asrar G R and Chen M. 2022. Adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP. ISPRS Journal of Photogrammetry and Remote Sensing, 186: 157-169
  77. 77.
    He L M, Chen J M, Liu J, Mo G and Joiner J. 2017. Angular normalization of GOME-2 Sun-induced chlorophyll fluorescence observation as a better proxy of vegetation productivity. Geophysical Research Letters, 44(11): 5691-5699
  78. 78.
    Hernández-Clemente R, North P R J, Hornero A and Zarco-Tejada P J. 2017. Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure. Remote Sensing of Environment, 193: 165-179
  79. 79.
    Hornero A, North P R J, Zarco-Tejada P J, Rascher U, Martín M P, Migliavacca M and Hernández-Clemente R. 2021. Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data. Remote Sensing of Environment, 253: 112195
  80. 80.
    Hu J C, Liu L Y, Guo J, Du S S and Liu X J. 2018a. Upscaling solar-induced chlorophyll fluorescence from an instantaneous to daily scale gives an improved estimation of the gross primary productivity. Remote Sensing, 10(10): 1663
  81. 81.
    Hu J C, Liu X J, Liu L Y and Guan L L. 2018b. Evaluating the performance of the SCOPE model in simulating canopy solar-induced chlorophyll fluorescence. Remote Sensing, 10(2): 250
  82. 82.
    Huang L Y J, Zheng Y H, Xing L Y and Hou B Z. 2023. Recent progress of thermoelectric applications for cooling/heating, power generation, heat flux sensor and potential prospect of their integrated applications. Thermal Science and Engineering Progress, 45: 102064
  83. 83.
    Huemmrich K F, Campbell P, Vargas Z S A, Sackett S, Unger S, May J, Tweedie C and Middleton E. 2022. Leaf-level chlorophyll fluorescence and reflectance spectra of high latitude plants. Environmental Research Communications, 4(3): 035001
  84. 84.
    Imasu R, Matsunaga T, Nakajima M, Yoshida Y, Shiomi K, Morino I, Saitoh N, Niwa Y, Someya Y, Oishi Y, Hashimoto M, Noda H, Hikosaka K, Uchino O, Maksyutov S, Takagi H, Ishida H, Nakajima T Y, Nakajima T and Shi C. 2023. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview. Progress in Earth and Planetary Science, 10(1): 33
  85. 85.
    Jacquemoud S and Baret F. 1990. PROSPECT: a model of leaf optical properties spectra. Remote Sensing of Environment, 34(2): 75-91
  86. 86.
    Jeftenić N, Simić M and Stamenković Z. 2020. Impact of environmental parameters on SNR and RSS in LoRaWAN//2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). Istanbul: IEEE: 1-6
  87. 87.
    Jiang N, Yang Z Q, Luo J and Wang C Y. 2023. Quantifying chilling injury on the photosynthesis system of strawberries: insights from photosynthetic fluorescence characteristics and hyperspectral inversion. Plants, 12(17): 3138
  88. 88.
    Jin Y, Ge Y, Fan H Y, Li Z S, Jia Y, Liu Y J and Liu H Y. 2024. Downscaling solar-induced chlorophyll fluorescence to a 0.05° monthly product using AVHRR data in East Asia (1995-2003). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17: 6379-6393
  89. 89.
    Jing Z H, Hu X Q, Wang Y, Wu R H, Chen L, Zhang L, Huang Y, Wang S, Li S and Zhang P. 2023. Activities to promote the moon as an absolute calibration reference. Remote Sensing, 15(9): 2431
  90. 90.
    John J W, Dhyani V, Singh S, Jakhar A, Sarkar A, Das S and Ray S K. 2021. Low-noise, high-detectivity, polarization-sensitive, room-temperature infrared photodetectors based on Ge quantum dot-decorated Si-on-insulator nanowire field-effect transistors. Nanotechnology, 32(31): 315205
  91. 91.
    Joiner J, Guanter L, Lindstrot R, Voigt M, Vasilkov A P, Middleton E M, Huemmrich K F, Yoshida Y and Frankenberg C. 2013. Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmospheric Measurement Techniques, 6(2): 2803-2823
  92. 92.
    Joiner J, Yoshida Y, Guanter L and Middleton E M. 2016. New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: simulations and application to GOME-2 and SCIAMACHY. Atmospheric Measurement Techniques, 9(8): 3939-3967
  93. 93.
    Joiner J, Yoshida Y, Koehler P, Frankenberg C and Parazoo N C. 2019. L2 Daily Solar-Induced Fluorescence (SIF) from ERS-2 GOME, 1995-2003. The Oak Ridge National Laboratory Distributed Active Archive Center
  94. 94.
    Joiner J, Yoshida Y, Vasilkov A P, Middleton E M, Campbell P K E, Yoshida Y, Kuze A and Corp L A. 2012. Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: simulations and space-based observations from SCIAMACHY and GOSAT. Atmospheric Measurement Techniques, 5(4): 809-829
  95. 95.
    Joiner J, Yoshida Y, Vasilkov A P, Yoshida Y, Corp L A and Middleton E M. 2011. First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences, 8(3): 637-651
  96. 96.
    Julitta T, Burkart A, Colombo R, Rossini M, Schickling A, Migliavacca M, Cogliati S, Wutzler T and Rascher U. 2017. Accurate measurements of fluorescence in the O2A and O2B band using the FloX spectroscopy system—Results and prospects// Proceedings of the Potsdam GHG flux workshop: from photosystems to ecosystems. Potsdam: 24-26
  97. 97.
    Kallel A. 2020. FluLCVRT: reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation. Journal of Quantitative Spectroscopy and Radiative Transfer, 253: 107183
  98. 98.
    Khosravi N, Vountas M, Rozanov V V, Bracher A, Wolanin A and Burrows J P. 2015. Retrieval of terrestrial plant fluorescence based on the in-filling of far-red fraunhofer lines using SCIAMACHY observations. Frontiers in Environmental Science, 3: 78
  99. 99.
    Kim J, Ryu Y and Dechant B. 2022. Development of a filter-based near-surface remote sensing system to retrieve far-red sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 283: 113311
  100. 100.
    Köhler P, Behrenfeld M J, Landgraf J, Joiner J, Magney T S and Frankenberg C. 2020. Global retrievals of solar-induced chlorophyll fluorescence at red wavelengths with TROPOMI. Geophysical Research Letters, 47(15): e2020GL087541
  101. 101.
    Köhler P, Frankenberg C, Magney T S, Guanter L, Joiner J and Landgraf J. 2018. Global retrievals of solar-induced chlorophyll fluorescence with TROPOMI: first results and intersensor comparison to OCO-2. Geophysical Research Letters, 45(19): 10456-10463
  102. 102.
    Köhler P, Guanter L and Frankenberg C. 2015a. Simplified physically based retrieval of sun-induced chlorophyll fluorescence from GOSAT data. IEEE Geoscience and Remote Sensing Letters, 12(7): 1446-1450
  103. 103.
    Köhler P, Guanter L and Joiner J. 2015b. A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data. Atmospheric Measurement Techniques, 8(6): 2589-2608
  104. 104.
    Kooreman M L, Boersma K F, Van Schaik E, Van Versendaal R, Cacciari A and Tuinder O N E. 2020. SIFTER sun-induced vegetation fluorescence data from GOME-2A (Version 2.0). Royal Netherlands Meteorological Institute (KNMI)
  105. 105.
    Kuusk A. 1994. A multispectral canopy reflectance model. Remote Sensing of Environment, 50(2): 75-82
  106. 106.
    Lee J E, Frankenberg C, Van der Tol C, Berry J A, Guanter L, Boyce C K, Fisher J B, Morrow E, Worden J R, Asefi S, Badgley G and Saatchi S. 2013. Forest productivity and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence. Proceedings of the Royal Society B: Biological Sciences, 280(1761): 20130171
  107. 107.
    Li D, Chen J M, Duveiller G, Frankenberg C, Köhler P and Yu K. 2025. A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks. Remote Sensing of Environment, 330: 114987
  108. 108.
    Li S L, Gao M F, Li Z L, Duan S B and Leng P. 2021. Uncertainty analysis of SVD-based spaceborne far–red sun-induced chlorophyll fluorescence retrieval using TanSat satellite data. International Journal of Applied Earth Observation and Geoinformation, 103: 102517
  109. 109.
    Li S L, Gao M F, Li Z L, Labed J and Verhoef W. 2024. FSM: a reflectance reconstruction method to retrieve full-spectrum sun-induced chlorophyll fluorescence from canopy measurements. IEEE Transactions on Geoscience and Remote Sensing, 62: 5540816
  110. 110.
    Li X and Xiao J F. 2019. A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 11(5): 517
  111. 111.
    Li X, Xiao J F and He B B. 2018. Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests. Remote Sensing of Environment, 204: 659-671
  112. 112.
    Li X Y, Huang H G, Shabanov N V, Chen L, Yan K and Shi J. 2020a. Extending the stochastic radiative transfer theory to simulate BRF over forests with heterogeneous distribution of damaged foliage inside of tree crowns. Remote Sensing of Environment, 250: 112040
  113. 113.
    Li X Y, Shabanov N V, Chen L, Zhang Y G and Huang H G. 2022. Modeling solar-induced fluorescence of forest with heterogeneous distribution of damaged foliage by extending the stochastic radiative transfer theory. Remote Sensing of Environment, 271: 112892 []
  114. 114.
    Li Z H, Zhang Q, Li J, Yang X, Wu Y F, Zhang Z Y, Wang S H, Wang H Z and Zhang Y G. 2020b. Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements. Remote Sensing of Environment, 236: 111420
  115. 115.
    Liu H, Li Y Y, Shen H Y, Wu B, Jin Y, Yu D L and Sun H M. 2024. An ultra-high linear digitization temperature sensor based on SAR ADC with common-mode temperature drift suppression. IEEE Transactions on Circuits Systems II: Express Briefs, 71(3): 1047-1051
  116. 116.
    Liu L Y. 2021. Hyperspectral Remote Sensing of Vegetation. Wuhan: Hubei Science and Technology Press
  117. 117.
    Liu L Y, Liu X J and Hu J C. 2015a. Effects of spectral resolution and SNR on the vegetation solar-induced fluorescence retrieval using FLD-based methods at canopy level. European Journal of Remote Sensing, 48(1): 743-762
  118. 118.
    Liu L Y, Liu X J, Wang Z H and Zhang B. 2016. Measurement and analysis of bidirectional SIF emissions in wheat canopies. IEEE Transactions on Geoscience and Remote Sensing, 54(5): 2640-2651
  119. 119.
    Liu L Y, Zhang Y J, Wang J H and Zhao C J. 2006. Detecting photosynthesis fluorescence under natural sunlight based on fraunhofer line. Journal of Remote Sensing (in Chinese), 10(1): 130-137
  120. 120.
    Liu W W, Atherton J, Mõttus M, Gastellu-Etchegorry J P, Malenovský Z, Raumonen P, Åkerblom M, Mäkipää R and Porcar-Castell A. 2019a. Simulating solar-induced chlorophyll fluorescence in a boreal forest stand reconstructed from terrestrial laser scanning measurements. Remote Sensing of Environment, 232: 111274
  121. 121.
    Liu X J, Guo J, Hu J C and Liu L Y. 2019b. Atmospheric correction for tower-based solar-induced chlorophyll fluorescence observations at O2-A band. Remote Sensing, 11(3): 355
  122. 122.
    Liu X J and Liu L Y. 2014. Assessing band sensitivity to atmospheric radiation transfer for space-based retrieval of solar-induced chlorophyll fluorescence. Remote Sensing, 6(11): 10656-10675
  123. 123.
    Liu X J and Liu L Y. 2015. Improving chlorophyll fluorescence retrieval using reflectance reconstruction based on principal components analysis. IEEE Geoscience and Remote Sensing Letters, 12(8): 1645-1649
  124. 124.
    Liu X J and Liu L Y. 2018. Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence. International Journal of Remote Sensing, 39(6): 1782-1799
  125. 125.
    Liu X J, Liu L Y, Zhang S and Zhou X F. 2015b. New spectral fitting method for full-spectrum solar-induced chlorophyll fluorescence retrieval based on principal components analysis. Remote Sensing, 7(8): 10626-10645
  126. 126.
    Lu W X, Ren H Y, Liang C Y and Li K Q. 2024. Manufacturing PMI forecasting based on wavelet decomposition and a ARMA-GARCH-GRU combination model. Industrial Engineering Journal, 27(1): 86-95, 127
  127. 127.
    Luo H H, Cabot J, Duan M Z and Lee Y K. 2021. An integrated temperature compensation method for thermal expansion-based angular motion sensors//2021 IEEE Sensors. Sydney: IEEE: 1-4
  128. 128.
    Ma Y. 2022. Spatial Extension of Satellite Solar-induced Chlorophyll Fluorescence Products. Beijing: Aerospace Information Research Institute, Chinese Academy of Sciences
  129. 129.
    Ma Y, Liu L Y, Chen R N, Du S S and Liu X J. 2020. Generation of a global spatially continuous TanSat solar-induced chlorophyll fluorescence product by considering the impact of the solar radiation intensity. Remote Sensing, 12(13): 2167
  130. 130.
    Mac Arthur A and Robinson I. 2015. A critique of field spectroscopy and the challenges and opportunities it presents for remote sensing for agriculture, ecosystems, and hydrology//Proceedings Volume 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII. Toulouse: SPIE: 29-39
  131. 131.
    Maier S W. 2001. Method of deriving sunlight induced fluorescence from radiance measurements and devices for executing the method. U.S., No. 6329660
  132. 132.
    Maier S W. 2002. Remote sensing and modelling of solar induced fluorescence// Proceedings of the FLEX Workshop. Noordwijk: European Space Agency (ESA) Special Publication: 527
  133. 133.
    Mazzoni M, Agati G, Cecchi G, Toci G and Mazzinghi P. 2006. High resolution measurements of solar induced chlorophyll fluorescence in the fraunhofer oxygen bands//Proceedings of the Sixth International Conference on Space Optics. Noordwijk: :ESA: 124
  134. 134.
    Maimaitiyiming M, Sagan V, Sidike P, Maimaitijiang M, Miller A J and Kwasniewski M. 2020. Leveraging very-high spatial resolution hyperspectral and thermal UAV imageries for characterizing diurnal indicators of grapevine physiology. Remote Sensing, 12(19): 3216
  135. 135.
    Malenovský Z, Regaieg O, Yin T G, Lauret N, Guilleux J, Chavanon E, Duran N, Janoutová R, Delavois A, Meynier J, Medjdoub G, Yang P Q, Van Der Tol C, Morton D, Cook B D and Gastellu-Etchegorry J P. 2021. Discrete anisotropic radiative transfer modelling of solar-induced chlorophyll fluorescence: structural impacts in geometrically explicit vegetation canopies. Remote Sensing of Environment, 263: 112564
  136. 136.
    Marrs J K, Jones T S, Allen D W and Hutyra L R. 2021. Instrumentation sensitivities for tower-based solar-induced fluorescence measurements. Remote Sensing of Environment, 259: 112413
  137. 137.
    Mazzoni M, Agati G, Cecchi G, Toci G and Mazzinghi P. 2006. High resolution measurements of solar induced chlorophyll fluorescence in the fraunhofer oxygen bands//Proceedings of the Sixth International Conference on Space Optics. Noordwijk: :ESA: 124
  138. 138.
    Mazzoni M, Falorni P and Del Bianco S. 2008. Sun-induced leaf fluorescence retrieval in the O2-B atmospheric absorption band. Optics Express, 16(10): 7014-7022
  139. 139.
    Mazzoni M, Falorni P and Verhoef W. 2010. High-resolution methods for fluorescence retrieval from space. Optics Express, 18(15): 15649-15663
  140. 140.
    McFarlane J C, Watson R D, Theisen A F, Jackson R D, Ehrler W L, Pinter P J, Idso S B and Reginato R J. 1980. Plant stress detection by remote measurement of fluorescence. Applied Optics, 19(19): 3287-3289
  141. 141.
    Meroni M, Barducci A, Cogliati S, Castagnoli F, Rossini M, Busetto L, Migliavacca M, Cremonese E, Galvagno M, Colombo R and Di Cella U M. 2011. The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements. Review of Scientific Instruments, 82(4): 043106
  142. 142.
    Meroni M, Busetto L, Colombo R, Guanter L, Moreno J and Verhoef W. 2010. Performance of spectral fitting methods for vegetation fluorescence quantification. Remote Sensing of Environment, 114(2): 363-374
  143. 143.
    Meroni M and Colombo R. 2006. Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer. Remote Sensing of Environment, 103(4): 438-448
  144. 144.
    Meroni M, Colombo R and Cogliati S. 2004. High resolution leaf spectral signature for the detection of solar induced chlorophyll fluorescence//Proceedings of the 2nd ESA Workshop on Remote Sensing of Solar Induced Vegetation. Montreal: ESA Publications Division: : 5409-5422
  145. 145.
    Meroni M, Rossini M, Guanter L, Alonso L, Rascher U, Colombo R and Moreno J. 2009. Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. Remote Sensing of Environment, 113(10): 2037-2051
  146. 146.
    Miao G F, Guan K Y, Yang X, Bernacchi C J, Berry J A, DeLucia E H, Wu J, Moore C E, Meacham K, Cai Y P, Peng B, Kimm H and Masters M D. 2018. Sun-induced chlorophyll fluorescence, photosynthesis, and light use efficiency of a soybean field from seasonally continuous measurements. Journal of Geophysical Research: Biogeosciences, 123(2): 610-623
  147. 147.
    Middleton E M, Cheng Y B, Campbell P E, Huemmrich K F, Corp L A, Bernardes S, Zhang Q Y, Landis D R, Kustas W P, Daughtry C S T, Alfieri J G and Russ A L. 2015. Multi-angle hyperspectral observations using fluorescence and PRI to detect plant stress and productivity in a cornfield. EARSeL eProceedings, 14(S2): 27-39
  148. 148.
    Middleton E M, Rascher U, Corp L A, Huemmrich K F, Cook B D, Noormets A, Schickling A, Pinto F, Alonso L, Damm A, Guanter L, Colombo R, Campbell P K E, Landis D R, Zhang Q Y, Rossini M, Schuettemeyer D and Bianchi R. 2017. The 2013 FLEX—US airborne campaign at the parker tract loblolly pine plantation in North Carolina, USA. Remote Sensing, 9(6): 612
  149. 149.
    Miller J R, Berger M, Goulas Y, Jacquemoud S, Louis J, Mohammed G, Moise N, Moreno J, Moya I, Pedrós R, Verhoef W and Zarco Tejada P. 2005. Development of a vegetation fluorescence canopy model. ESTEC contract No. 16365/02/NL/FF. Noordwijk, The Netherlands: European Space Researchand Technology Centre (ESTEC)
  150. 150.
    Mohammadi K, Jiang Y L and Wang G L. 2022. Flash drought early warning based on the trajectory of solar-induced chlorophyll fluorescence. Proceedings of the National Academy of Sciences of the United States of America, 119(32): e2202767119
  151. 151.
    Mohammed G H, Colombo R, Middleton E M, Rascher U, Van der Tol C, Nedbal L, Goulas Y, Pérez-Priego O, Damm A, Meroni M, Joiner J, Cogliati S, Verhoef W, Malenovský Z, Gastellu-Etchegorry J P, Miller J R, Guanter L, Moreno J, Moya I, Berry J A, Frankenberg C and Zarco-Tejada P J. 2019. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sensing of Environment, 231: 111177
  152. 152.
    Morata M, Siegmann B, Morcillo-Pallarés P, Rivera-Caicedo J P and Verrelst J. 2021. Emulation of sun-induced fluorescence from radiance data recorded by the hyplant airborne imaging spectrometer. Remote Sensing, 13(21): 4368
  153. 153.
    Moya I, Daumard F, Moise N, Ounis A and Goulas Y. 2006. First airborne multiwavelength passive chlorophyll fluorescence measurements over La Mancha (Spain) fields//Second Recent Advances in Quantitative Remote Sensing. Torrent: Universitat de València: 820-825
  154. 154.
    Moya I, Loayza H, López M L, Sánchez J M, Goulas Y, Ounis A, Quiroz R and Calera A. 2023. Active in situ and passive airborne fluorescence measurements for water stress detection on a fescue field. Photosynthesis Research, 155(2): 159-175
  155. 155.
    Munro R, Lang R, Klaes D, Poli G, Retscher C, Lindstrot R, Huckle R, Lacan A, Grzegorski M, Holdak A, Kokhanovsky A, Livschitz J and Eisinger M. 2016. The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing–an overview. Atmospheric Measurement Techniques, 9(3): 1279-1301
  156. 156.
    Naethe P, Julitta T, Chang C Y Y, Burkart A, Migliavacca M, Guanter L and Rascher U. 2022. A precise method unaffected by atmospheric reabsorption for ground-based retrieval of red and far-red sun-induced chlorophyll fluorescence. Agricultural and Forest Meteorology, 325: 109152
  157. 157.
    Ni Z Y, Liu Z G, Li Z L, Nerry F, Huo H Y, Sun R, Yang P Q and Zhang W W. 2016. Investigation of atmospheric effects on retrieval of sun-induced fluorescence using hyperspectral imagery. Sensors, 16(4): 480
  158. 158.
    Ni Z Y, Lu Q F, Huo H Y and Zhang H L. 2019. Estimation of chlorophyll fluorescence at different scales: a review. Sensors, 19(13): 3000
  159. 159.
    Ni Z Y, Lu Q F, Wang Z W and Wang F. 2021. A review of retrieving in sun-induced chlorophyll fluorescence. Advances in Meteorological Science and Technology, 11(5): 8-20
  160. 160.
    OCO Science Team, Gunson M and Eldering A. 2021. OCO-3 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V10r. Greenbelt: Goddard Earth Sciences Data and Information Services Center (GES DISC)
  161. 161.
    OCO-2 Science Team, Gunson M and Eldering A. 2020. OCO-2 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V10r. Greenbelt: Goddard Earth Sciences Data and Information Services Center (GES DISC)
  162. 162.
    Oehl V and Damm A. 2023. WAFER: a new method to retrieve sun-induced fluorescence based on spectral wavelet decompositions. Remote Sensing of Environment, 298: 113786
  163. 163.
    Papageorgiou G C and Govindjee. 2004. Chlorophyll a Fluorescence: A Signature of Photosynthesis. Dordrecht: Springer []
  164. 164.
    Parazoo N C, Magney T, Norton A, Raczka B, Bacour C, Maignan F, Baker I, Zhang Y G, Qiu B, Shi M J, MacBean N, Bowling D R, Burns S P, Blanken P D, Stutz J, Grossmann K and Frankenberg C. 2020. Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions. Biogeosciences, 17(13): 3733-3755
  165. 165.
    Paynter I, Cook B, Corp L, Nagol J and McCorkel J. 2020. Characterization of FIREFLY, an imaging spectrometer designed for remote sensing of solar induced fluorescence. Sensors, 20(17): 4682
  166. 166.
    Peng B, Guan K Y, Zhou W, Jiang C Y, Frankenberg C, Sun Y, He L Y and Köhler P. 2020. Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction. International Journal of Applied Earth Observation and Geoinformation, 90: 102126
  167. 167.
    Peng H Y, Cendrero-Mateo M P, Bendig J, Siegmann B, Acebron K, Kneer C, Kataja K, Muller O and Rascher U. 2022. HyScreen: a ground-based imaging system for high-resolution red and far-red solar-induced chlorophyll fluorescence. Sensors, 22(23): 9443
  168. 168.
    Perez-Priego O, Zarco-Tejada P J, Miller J R, Sepulcre-Canto G and Fereres E. 2005. Detection of water stress in orchard trees with a high-resolution spectrometer through chlorophyll fluorescence in-filling of the O2-A band. IEEE Transactions on Geoscience and Remote Sensing, 43(12): 2860-2869
  169. 169.
    Plascyk J A. 1975. The MK II Fraunhofer line discriminator (FLD-II) for airborne and orbital remote sensing of solar-stimulated luminescence. Optical Engineering, 14(4): 144339
  170. 170.
    Plascyk J A and Gabriel F C. 1975. The Fraunhofer line discriminator MKII-an airborne instrument for precise and standardized ecological luminescence measurement. IEEE Transactions on Instrumentation and Measurement, 24(4): 306-313
  171. 171.
    Porcar-Castell A, Tyystjärvi E, Atherton J, Van der Tol C, Flexas J, Pfündel E E, Moreno J, Frankenberg C and Berry J A. 2014. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. Journal of Experimental Botany, 65(15): 4065-4095
  172. 172.
    Qiu B, Chen J M, Ju W M, Zhang Q and Zhang Y G. 2019. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures. Remote Sensing of Environment, 233: 111373
  173. 173.
    Rascher U, Alonso L, Burkart A, Cilia C, Cogliati S, Colombo R, Damm A, Drusch M, Guanter L, Hanus J, Hyvärinen T, Julitta T, Jussila J, Kataja K, Kokkalis P, Kraft S, Kraska T, Matveeva M, Moreno J, Muller O, Panigada C, Pikl M, Pinto F, Prey L, Pude R, Rossini M, Schickling A, Schurr U, Schüttemeyer D, Verrelst J and Zemek F. 2015. Sun-induced fluorescence–a new probe of photosynthesis: first maps from the imaging spectrometer HyPlant. Global Change Biology, 21(12): 4673-4684
  174. 174.
    Regaieg O, Yin T G, Malenovský Z, Cook B D, Morton D C and Gastellu-Etchegorry J P. 2021. Assessing impacts of canopy 3D structure on chlorophyll fluorescence radiance and radiative budget of deciduous forest stands using DART. Remote Sensing of Environment, 265: 112673
  175. 175.
    Rogalski A. 2003. Infrared detectors: status and trends. Progress in Quantum Electronics, 27(2/3): 59-210
  176. 176.
    Ross J. 1981. The Radiation Regime and Architecture of Plant Stands. Dordrecht: Springer []
  177. 177.
    Sabater N, Vicent J, Alonso L, Verrelst J, Middleton E M, Porcar-Castell A and Moreno J. 2018. Compensation of oxygen transmittance effects for proximal sensing retrieval of canopy–leaving sun–induced chlorophyll fluorescence. Remote Sensing, 10(10): 1551
  178. 178.
    Sakai Y, Kobayashi H and Kato T. 2020. FLiES-SIF version 1.0: three-dimensional radiative transfer model for estimating solar induced fluorescence. Geoscientific Model Development, 13(9): 4041-4066
  179. 179.
    Sanders A F J, Verstraeten W W, Kooreman M L, Van Leth T C, Beringer J and Joiner J. 2016. Spaceborne sun-induced vegetation fluorescence time series from 2007 to 2015 evaluated with Australian flux tower measurements. Remote Sensing, 8(11): 895
  180. 180.
    Scodellaro R, Cesana I, D'Alfonso L, Bouzin M, Collini M, Chirico G, Colombo R, Miglietta F, Celesti M, Schuettemeyer D, Cogliati S and Sironi L. 2022. A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters. Remote Sensing of Environment, 280: 113196
  181. 181.
    Shabanov N V, Knyazikhin Y, Baret F and Myneni R B. 2000. Stochastic modeling of radiation regime in discontinuous vegetation canopies. Remote Sensing of Environment, 74(1): 125-144
  182. 182.
    Sioris C E, Bazalgette Courrèges-Lacoste G and Stoll M P. 2003. Filling in of Fraunhofer lines by plant fluorescence: simulations for a nadir-viewing satellite-borne instrument. Journal of Geophysical Research: Atmospheres, 108(D4): 4133
  183. 183.
    Song L, Guanter L, Guan K Y, You L Z, Huete A, Ju W M and Zhang Y G. 2018. Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains. Global Change Biology, 24(9): 4023-4037
  184. 184.
    Sun Y, Frankenberg C, Jung M, Joiner J, Guanter L, Köhler P and Magney T. 2018. Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: retrieval, cross-mission comparison, and global monitoring for GPP. Remote Sensing of Environment, 209: 808-823
  185. 185.
    Sun Z Q, Yang S X, Shi S and Yang J. 2021. The effect of principal component analysis parameters on solar-induced chlorophyll fluorescence signal extraction. Applied Sciences, 11(11): 4883
  186. 186.
    Theisen A F. 2002. Detecting chlorophyll fluorescence from orbit: the Fraunhofer line depth model//Muttiah R S, ed. From Laboratory Spectroscopy to Remotely Sensed Spectra of Terrestrial Ecosystems. Dordrecht: Springer: 203-232
  187. 187.
    Tong C M, Bao Y F, Zhao F, Fan C R, Li Z J and Huang Q L. 2021. Evaluation of the FluorWPS model and study of the parameter sensitivity for simulating solar-induced chlorophyll fluorescence. Remote Sensing, 13(6): 1091
  188. 188.
    Turner A J, Köhler P, Magney T S, Frankenberg C, Fung I and Cohen R C. 2020. A double peak in the seasonality of California’s photosynthesis as observed from space. Biogeosciences, 17(2): 405-422
  189. 189.
    Van der Tol C, Julitta T, Yang P Q, Sabater N, Reiter I, Tudoroiu M, Schuettemeyer D and Drusch M. 2023. Retrieval of chlorophyll fluorescence from a large distance using oxygen absorption bands. Remote Sensing of Environment, 284: 113304
  190. 190.
    Van der Tol C, Verhoef W, Timmermans J, Verhoef A and Su Z. 2009. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences, 6(12): 3109-3129
  191. 191.
    Van der Tol C, Vilfan N, Dauwe D, Cendrero-Mateo M P and Yang P Q. 2019. The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE. Remote Sensing of Environment, 232: 111292
  192. 192.
    Van Schaik E, Kooreman M L, Stammes P, Tilstra L G, Tuinder O N E, Sanders A F J, Verstraeten W W, Lang R, Cacciari A, Joiner J, Peters W and Boersma K F. 2020. Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation. Atmospheric Measurement Techniques, 13(8): 4295-4315
  193. 193.
    Van Wittenberghe S, Alonso L, Verrelst J, Hermans I, Delegido J, Veroustraete F, Valcke R, Moreno J and Samson R. 2013. Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia. Environmental Pollution, 173: 29-37
  194. 194.
    Van Wittenberghe S, Alonso L, Verrelst J, Moreno J and Samson R. 2015. Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties—A bottom-up approach. Remote Sensing of Environment, 158: 169-179
  195. 195.
    Verhoef W. 1984. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment, 16(2): 125-141
  196. 196.
    Verhoef W, Van Der Tol C and Middleton E M. 2018. Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX–Sentinel-3 tandem mission multi-sensor data. Remote Sensing of Environment, 204: 942-963
  197. 197.
    Verrelst J, Rivera J P, Van Der Tol C, Magnani F, Mohammed G, and Moreno J. 2015. Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? Remote Sensing of Environment, 166: 8-21
  198. 198.
    Wang C, Chen Y P, Tong W T, Zhou W, Li J, Xu B D and Hu Q. 2023. Mapping crop phenophases in reproductive growth period by satellite solar-induced chlorophyll fluorescence: a case study in mid-temperate zone in China. ISPRS Journal of Photogrammetry and Remote Sensing, 205: 191-205
  199. 199.
    Wang N, Clevers J G P W, Wieneke S, Bartholomeus H and Kooistra L. 2022. Potential of UAV-based sun-induced chlorophyll fluorescence to detect water stress in sugar beet. Agricultural and Forest Meteorology, 323: 109033
  200. 200.
    Wang N, Suomalainen J, Bartholomeus H, Kooistra L, Masiliūnas D and Clevers J G P W. 2021. Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. International Journal of Applied Earth Observation and Geoinformation, 96: 102276
  201. 201.
    Wang S H, Yang D, Yang R, Li T and Sun H Z. 2020a. Statistical-based retrieval of solar-induced chlorophyll fluorescence at proximal and airborne scales using (imaging) spectroscopy data//Proceedings Volume 11566, AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics. Beijing: SPIE: 48-53
  202. 202.
    Wang S H, Zhang L F, Huang C P and Qiao N. 2017. Ground-based long-term remote sensing of solar-induced chlorophyll fluorescence: methods, challenges and opportunities//2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Fort Worth: IEEE: 3862-3865
  203. 203.
    Wang S H, Zhang Y G, Ju W M, Chen J M, Ciais P, Cescatti A, Sardans J, Janssens I A, Wu M S, Berry J A, Campbell E, Fernandez-Martinez M, Alkama R, Sftch S, Friedlingstein P, Smith W K, Yuan W P, He W, Lombardozzi D, Kautz M, Zhu D, Lienert S, Kato E, Poulter B, Sanders T G M, Kruger I, Wang R, Zeng N, Tian H Q, Vuichard N, Jain A K, Wiltshire A, Haverd V, Goll D S and Penuelas J. 2020b. Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science, 370(6522): 1295-1300
  204. 204.
    Wang S Q, Liu L Y and Zhang Y G. 2020. Hyperspectral Observation Methods and Applications for Terrestrial Ecosystems. Beijing: Science Press
  205. 205.
    Wang X R, Qiu B, Li W K and Zhang Q. 2019. Impacts of drought and heatwave on the terrestrial ecosystem in China as revealed by satellite solar-induced chlorophyll fluorescence. Science of the Total Environment, 693: 133627
  206. 206.
    Wieneke S, Ahrends H, Damm A, Pinto F, Stadler A, Rossini M and Rascher U. 2016. Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: implications for improved estimates of gross primary productivity. Remote Sensing of Environment, 184: 654-667
  207. 207.
    Wieneke S, Pacheco-Labrador J, Mahecha M D, Poblador S, Vicca S and Janssens I A. 2024. Comparing the quantum use efficiency of red and far-red sun-induced fluorescence at leaf and canopy under heat-drought stress. Remote Sensing of Environment, 311: 114294
  208. 208.
    Wolanin A, Rozanov V V, Dinter T, Noël S, Vountas M, Burrows J P and Bracher A. 2015. Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: feasibility study and first results. Remote Sensing of Environment, 166: 243-261
  209. 209.
    Wu G H, Guan K Y, Kimm H, Miao G F, Yang X and Jiang C Y. 2024a. Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems. Scientific Data, 11(1): 228
  210. 210.
    Wu G H, Jiang C Y, Kimm H, Wang S, Bernacchi C, Moore C E, Suyker A, Yang X, Magney T, Frankenberg C, Ryu Y, Dechant B and Guan K Y. 2022. Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content. Remote Sensing of Environment, 279: 113104
  211. 211.
    Wu K, Palmer P I, Wu D E, Jouglet D, Feng L and Oda T. 2023. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions. Atmospheric Measurement Techniques, 16(2): 581-602
  212. 212.
    Wu L S, Zhang Y G, Zhang Z Y, Zhang X K and Wu Y F. 2022. Remote sensing of solar-induced chlorophyll fluorescence and its applications in terrestrial ecosystem monitoring. Chinese Journal of Plant Ecology, 46(10): 1167-1199
  213. 213.
    Wu Y F, Zhang Z Y, Wu L S and Zhang Y G. 2024b. Solar-induced chlorophyll fluorescence tracks canopy photosynthesis under dry conditions in a semi-arid grassland. Agricultural and Forest Meteorology, 356: 110174
  214. 214.
    Xie X Y, Zhao W, Yin G F, Fu H and Wang X D. 2025. Divergent ecological restoration driven by afforestation along the north and south banks of the Yarlung Zangbo middle reach. Land Degradation and Development, 36(2): 521-532
  215. 215.
    Yan G J, Xie T and Mu X H. 2023. An introduction to radiometric concepts. National Remote Sensing Bulletin, 27(10): 2445-2448
  216. 216.
    Yan L S, Liu X J, Chen J D, Zou C, Du K Q and Liu L Y. 2023. Performance of data-driven algorithm for SIF retrieval from tower-based observation. Remote Sensing Technology and Application, 38(4): 924-934
  217. 217.
    Yang J J, Liu Z Q, Yu Q and Lu X L. 2024. Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 303: 113998
  218. 218.
    Yang P Q, Prikaziuk E, Verhoef W and Van Der Tol C. 2021. SCOPE 2.0: a model to simulate vegetated land surface fluxes and satellite signals. Geoscientific Model Development, 14(7): 4697-4712
  219. 219.
    Yang P Q, Verhoef W and Van der Tol C. 2017. The mSCOPE model: a simple adaptation to the SCOPE model to describe reflectance, fluorescence and photosynthesis of vertically heterogeneous canopies. Remote Sensing of Environment, 201: 1-11
  220. 220.
    Yang X, Shi H Y, Stovall A, Guan K Y, Miao G F, Zhang Y G, Zhang Y, Xiao X M, Ryu Y and Lee J E. 2018. FluoSpec 2—an automated field spectroscopy system to monitor canopy solar-induced fluorescence. Sensors, 18(7): 2063
  221. 221.
    Yang X, Tang J W, Mustard J F, Lee J E, Rossini M, Joiner J, Munger J W, Kornfeld A and Richardson A D. 2015. Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophysical Research Letters, 42(8): 2977-2987
  222. 222.
    Yao L, Liu Y, Yang D X, Cai Z N, Wang J, Lin C, Lu N M, Lyu D, Tian L F, Wang M H, Yin Z S, Zheng Y Q and Wang S S. 2022. Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2. Atmospheric Measurement Techniques, 15(7): 2125-2137
  223. 223.
    Yao L, Yang D X, Liu Y, Wang J, Liu L Y, Du S S, Cai Z N, Lu N M, Lyu D, Wang M H, Yin Z S and Zheng Y Q. 2021. A new global solar-induced chlorophyll fluorescence (SIF) data product from TanSat measurements. Advances in Atmospheric Sciences, 38(3): 341-345
  224. 224.
    Yoshida Y, Joiner J, Tucker C, Berry J, Lee J E, Walker G, Reichle R, Koster R, Lyapustin A and Wang Y. 2015. The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: insights from modeling and comparisons with parameters derived from satellite reflectances. Remote Sensing of Environment, 166: 163-177
  225. 225.
    Yu L, Wen J, Chang C Y, Frankenberg C and Sun Y. 2019. High-resolution global contiguous SIF of OCO-2. Geophysical Research Letters, 46(3): 1449-1458
  226. 226.
    Zarco-Tejada P J, Berni J A J, Suárez L, Sepulcre-Cantó G, Morales F and Miller J R. 2009. Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection. Remote Sensing of Environment, 113(6): 1262-1275
  227. 227.
    Zarco-Tejada P J, González-Dugo V and Berni J A J. 2012. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sensing of Environment, 117: 322-337
  228. 228.
    Zarco-Tajeda P J, Miller J R, Haboudane D, Tremblay N and Apostol S. 2003. Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region//IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Toulouse: IEEE: 598-600
  229. 229.
    Zarco-Tejada P J, Suárez L and Gonzalez-Dugo V. 2013. Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation. IEEE Geoscience and Remote Sensing Letters, 10(4): 937-941
  230. 230.
    Zeng Y L, Badgley G, Chen M, Li J, Anderegg L D L, Kornfeld A, Liu Q H, Xu B D, Yang B, Yan K and Berry J A. 2020. A radiative transfer model for solar induced fluorescence using spectral invariants theory. Remote Sensing of Environment, 240: 111678
  231. 231.
    Zeng Y L, Chen M, Hao D L, Damm A, Badgley G, Rascher U, Johnson J E, Dechant B, Siegmann B, Ryu Y, Qiu H, Krieger V, Panigada C, Celesti M, Miglietta F, Yang X and Berry J A. 2022. Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses. Remote Sensing of Environment, 270: 112856
  232. 232.
    Zhan C H, Zhang Z Y and Zhang Y G. 2020. Recent advances in the radiative transfer models of sun-induced chlorophyll fluorescence. Journal of Remote Sensing (in Chinese), 24(8): 945-957
  233. 233.
    Zhang D L, Yan X L, Zhang E C and Pan S M. 2016a. A long time low drift integrator with temperature control. Review of Scientific Instruments, 87(10): 105119
  234. 234.
    Zhang J, Sun B, Yang C H, Wang C Y, You Y H, Zhou G S, Liu B, Wang C F, Kuai J and Xie J. 2022b. A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval. Computers and Electronics in Agriculture, 198: 107031
  235. 235.
    Zhang J R, Xiao J F, Tong X J, Zhang J S, Meng P, Li J, Liu P R and Yu P Y. 2022a. NIRv and SIF better estimate phenology than NDVI and EVI: effects of spring and autumn phenology on ecosystem production of planted forests. Agricultural and Forest Meteorology, 315: 108819
  236. 236.
    Zhang L F, Wang S H and Huang C P. 2018. Top-of-atmosphere hyperspectral remote sensing of solar-induced chlorophyll fluorescence: a review of methods. Journal of Remote Sensing (in Chinese), 22(1): 1-12
  237. 237.
    Zhang Q, Chen J M, Ju W M, Zhang Y G, Li Z H, He L M, Pacheco-Labrador J, Li J, Qiu B, Zhang X K, Qiu F, Chen B, Chou S R, Zhang Z Y and Shan N. 2021. Ground-based multiangle solar-induced chlorophyll fluorescence observation and angular normalization for assessing crop productivity. Journal of Geophysical Research: Biogeosciences, 126(5): e2020JG006082
  238. 238.
    Zhang Q, Zhang X K, Li Z H, Wu Y F and Zhang Y G. 2019a. Comparison of Bi-hemispherical and hemispherical-conical configurations for in situ measurements of solar-induced chlorophyll fluorescence. Remote Sensing, 11(22): 2642
  239. 239.
    Zhang Y, Fang J N, Smith W K, Wang X, Gentine P, Scott R L, Migliavacca M, Jeong S, Litvak M and Zhou S. 2023a. Satellite solar-induced chlorophyll fluorescence tracks physiological drought stress development during 2020 southwest US drought. Global Change Biology, 29(12): 3395-3408
  240. 240.
    Zhang Y, Joiner J, Alemohammad S H, Zhou S and Gentine P. 2018a. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences, 15(19): 5779-5800
  241. 241.
    Zhang Y G, Guanter L, Berry J A, Van der Tol C, Yang X, Tang J W and Zhang F M. 2016b. Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications. Remote Sensing of Environment, 187: 145-155
  242. 242.
    Zhang Z Y, Chen J M, Guanter L, He L M and Zhang Y G. 2019b. From canopy-leaving to total canopy far-red fluorescence emission for remote sensing of photosynthesis: first results from TROPOMI. Geophysical Research Letters, 46(21): 12030-12040
  243. 243.
    Zhang Z Y, Fu M, Xu J, Lin J, Zhang X W, and Zhang Y G. 2025. First global retrievals of solar induced chlorophyll fluorescence from the SIFIS instrument onboard the Chinese goumang satellite. Geophysical Research Letters, 52(21): e2025GL118327
  244. 244.
    Zhang Z Y, Guanter L, Porcar-Castell A, Rossini M, Pacheco-Labrador J and Zhang Y G. 2023b. Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 285: 113383
  245. 245.
    Zhang Z Y, Wang S H, Qiu B, Song L and Zhang Y G. 2019. Retrieval of sun-induced chlorophyll fluorescence and advancements in carbon cycle application. Journal of Remote Sensing (in Chinese), 23(1): 37-52
  246. 246.
    Zhang Z Y, Xu J, Fu A M and Zhang Y G. 2023c. Global retrievals of terrestrial solar-induced chlorophyll fluorescence with TECIS-1 satellite//AGU Fall Meeting Abstracts. AGU , San Francisco, USA. American Geophysical Union
  247. 247.
    Zhang Z Y, Zhang X K, Porcar-Castell A, Chen J M, Ju W M, Wu L S, Wu Y F and Zhang Y G. 2022c. Sun-induced chlorophyll fluorescence is more strongly related to photosynthesis with hemispherical than nadir measurements: evidence from field observations and model simulations. Remote Sensing of Environment, 279: 113118
  248. 248.
    Zhang Z Y and Zhang Y G. 2023. Solar angle matters: diurnal pattern of solar-induced chlorophyll fluorescence from OCO-3 and TROPOMI. Remote Sensing of Environment, 285: 113380
  249. 249.
    Zhang Z Y and Zhang Y G. 2025. Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band. Remote Sensing of Environment, 316: 114496
  250. 250.
    Zhang Z Y, Zhang Y G, Joiner J and Migliavacca M. 2018b. Angle matters: bidirectional effects impact the slope of relationship between gross primary productivity and sun-induced chlorophyll fluorescence from Orbiting Carbon Observatory-2 across biomes. Global Change Biology, 24(11): 5017-5020
  251. 251.
    Zhang Z Y, Zhang Y G, Zhang Y and Chen J M. 2020. Correcting clear-sky bias in gross primary production modeling from satellite solar-induced chlorophyll fluorescence data. Journal of Geophysical Research: Biogeosciences, 125(9): e2020JG005822
  252. 252.
    Zhao F, Dai X, Verhoef W, Guo Y Q, Van der Tol C, Li Y G and Huang Y B. 2016. FluorWPS: a Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy. Remote Sensing of Environment, 187: 385-399
  253. 253.
    Zhao F, Guo Y Q, Verhoef W, Gu X F, Liu L Y and Yang G J. 2014. A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote Sensing, 6(10): 10171-10192
  254. 254.
    Zhao F, Li R, Qin W H and Ding W J. 2018a. A model to simulate the radiative transfer of solar-induced fluorescence for three-dimensional canopies//IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia: IEEE: 6003-6006
  255. 255.
    Zhao F, Li R, Verhoef W, Cogliati S, Liu X J, Huang Y B, Guo Y Q and Huang J X. 2018b. Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: intercomparison study for a novel method. Remote Sensing of Environment, 219: 233-246
  256. 256.
    Zhao F, Li Z J, Verhoef W, Fan C R, Luan H X, Yin T G, Zhang J, Liu Z Q, Tong C M and Bao Y F. 2022. Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS. Remote Sensing of Environment, 277: 113075
  257. 257.
    Zhao F, Ma W W, Zhao J, Guo Y Q, Tariq M and Li J. 2024a. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: first results with TROPOMI. Remote Sensing of Environment, 300: 113903
  258. 258.
    Zhao F, Tariq M, Ma W W, Wu Z F and Zhang Y S. 2024b. An enhanced method for reconstruction of full SIF spectrum for near-ground measurements. International Journal of Applied Earth Observation and Geoinformation, 134: 104240
  259. 259.
    Zhou Y S, Lu X P, Huang Y B, Gao Z and Zheng Y Q. 2020. New solar-induced chlorophyll fluorescence retrieval algorithm based on tansat satellite data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3-2020: 209-214
  260. 260.
    Zhu J, Yin Y M, Lu J S, Warner T A, Xu X W, Lyu M Y, Wang X, Guo C L, Cheng T, Zhu Y, Cao W X, Yao X, Zhang Y G and Liu L Y. 2023. The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season. Remote Sensing of Environment, 298: 113791
  261. 261.
    Zou C, Du S S, Liu X J, Liu L Y, Wang Y Y and Li Z. 2021. Optimizing the empirical parameters of the data-driven algorithm for SIF retrieval for SIFIS onboard TECIS-1 satellite. Sensors, 21(10): 3482

Lesen Sie die ganze Passage

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website