References

1. 1.
   Akther S, Sun W Z, Suzuki J and Fujita M. 2022. Tolerance of benthic foraminifer Calcarina gaudichaudii to polycyclic aromatic hydrocarbon pyrene: effects on photosynthesis. Coral Reefs, 41(6): 1585-1594.
2. 2.
   Arellano P, Tansey K, Balzter H and Boyd D S. 2015. Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images. Environmental Pollution, 205: 225-239.
3. 3.
   Baker N R. 2008. Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annual Review of Plant Biology, 59: 89-113.
4. 4.
   Cai B F and Yu R. Advance and evaluation in the long time series vegetation trends research based on remote sensing. Journal of Remote Sensing (in Chinese), 13(6): 1170-1186
5. 5.
   Clayton J L. 1998. Geochemistry of coalbed gas-a review. International Journal of Coal Geology, 35(1/4): 159-173.
6. 6.
   Dai J X, Qi H F, Song Y and Guan D S. 1986. Composition, carbon isotope types, genesis, and significance of coalbed methane in China. Scientia Sinica Part B, (12): 1317-1326
7. 7.
   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.
8. 8.
   Drew M C. 1997. Oxygen deficiency and root metabolism: injury and acclimation under hypoxia and anoxia. Annual Review of Plant Biology, 48: 223-250.
9. 9.
   Drew M C, Cobb B G, Johnson J R, Andrews D, Morgan P W, Jordan W and He C J. 1994. Metabolic acclimation of root tips to oxygen deficiency. Annals of Botany, 74(3): 281-286.
10. 10.
    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. 2011. New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophysical Research Letters, 38(17): L17706.
11. 11.
    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.
12. 12.
    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.
13. 13.
    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.
14. 14.
    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.
15. 15.
    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.
16. 16.
    Han G H, Sun Y H, Qin Q M. 2023. Extraction of vegetation anomaly caused by coalbed methane hydrocarbon microseepage based on Sentinel-2/MSI. National Remote Sensing Bulletin， 27（7）：1713-1730
17. 17.
    Hong Z M, Hu Y J, Cui C L, Yang X N, Tao C X, Luo W R, Zhang W, Li L Y and Meng L K. 2022. An operational downscaling method of solar-induced chlorophyll fluorescence (SIF) for regional drought monitoring. Agriculture, 12(4): 547.
18. 18.
    Jamaludin M I, Matori A N and Myint K C. 2015. Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress//Proceedings of 2015 International Conference on Space Science and Communication (IconSpace). Langkawi, Malaysia: IEEE: 215-220.
19. 19.
    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(10): 2803-2823.
20. 20.
    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.
21. 21.
    Joiner J, Yoshida Y, Vasilkov A P, Middleton E M, Campbell P K E, Kuze A and Corp L A. 2012. Filling-in of far-red and near-infrared solar lines by terrestrial and atmospheric effects: simulations and space-based observations from SCHIAMACHY and GOSAT. Atmospheric Measurement Techniques Discussions, 5(1): 163-210.
22. 22.
    Joiner J, Yoshida Y, Vasilkov A P, Yoshida Y, Corp L A and Middleton E. 2011. First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences, 8(3): 637-651.
23. 23.
    Justice C O, Townshend J R G, Vermote E F, Masuoka E, Wolfe R F, Saleous N, Roy D P and Morisette J T. 2002. An overview of MODIS Land data processing and product status. Remote Sensing of Environment, 83(1/2): 3-15.
24. 24.
    Köhler P, Guanter L and Joiner J. 2015. A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data. Atmospheric Measurement Techniques, 8(6): 2589-2608.
25. 25.
    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.
26. 26.
    Lichtenthaler H K, Buschmann C, Rinderle U and Schmuck G. 1986. Application of chlorophyll fluorescence in ecophysiology. Radiation and Environmental Biophysics, 25(4): 297-308.
27. 27.
    Liu L Y, Zhang X, Gao Y, Chen X D, Shuai X and Mi J. 2021. Finer-resolution mapping of global land cover: recent developments, consistency analysis, and prospects. Journal of Remote Sensing, 2021: 5289697.
28. 28.
    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.
29. 29.
    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.
30. 30.
    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.
31. 31.
    Noomen M F. 2007. Hyperspectral reflectance of vegetation affected by underground hydrocarbon gas seepage. Wageningen: Wageningen University.
32. 32.
    QIN Qiming, WU Zihua, YE Xin, WANG Nan, HAN Guhuai. Remote sensing-based exploration of coalbed methane enrichment areas:Advances in research and prospects. Remote Sensing for Natural Resources, 2024, 36(3): 1-12
33. 33.
    Qinshui County Bureau of Statistics. 2023. Statistical Communiqué on National Economic and Social Development of Qinshui County in 2022, Qinshui County Bureau of Statistics. (沁水县统计局. 2023. 沁水县2022年国民经济和社会发展统计公报. 沁水县统计局)
34. 34.
    Ritoré E, Morillo J, Arnáiz C, Coquelet B, Usero J. 2023. Chemical oxidation of hydrocarbon-contaminated soil: oxidant comparison study and soil influencing factors. Environmental Engineering Research, 28(6): 220610.
35. 35.
    Schumacher D. 1996. Hydrocarbon-induced alteration of soils and sediments//Schumacher D, Abrams M A, eds. Hydrocarbon Migration and Its Near-Surface Expression. Tulsa, Okla: American Association of Petroleum Geologists.
36. 36.
    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.
37. 37.
    Thauer R K. 2011. Anaerobic oxidation of methane with sulfate: on the reversibility of the reactions that are catalyzed by enzymes also involved in methanogenesis from CO₂. Current Opinion in Microbiology, 14(3): 292-299.
38. 38.
    Wang D L, Liu W P and Huang X Y. 2013. Trend analysis in vegetation cover in Beijing based on Sen+Mann-Kendall method. Computer Engineering and Applications, 49(5): 13-17
39. 39.
    Wang S H, Huang C P, Zhang L F, Lin Y, Cen Y and Wu T X. 2016. Monitoring and assessing the 2012 drought in the great plains: analyzing satellite-retrieved solar-induced chlorophyll fluorescence, drought indices, and gross primary production. Remote Sensing, 8(2): 61.
40. 40.
    Yan Z R, Liu L Y, Jing X. 2022. Spatiotemporal variations of satellite-based SIF and its climate response in China from 2007 to 2018. Remote Sensing Technology and Application, 37(3): 702-712
41. 41.
    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.
42. 42.
    Zhang X, Liu L Y, Chen X D, Gao Y, Xie S and Mi J. 2021a. GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery. Earth System Science Data, 13(6): 2753-2776.
43. 43.
    Zhang X, Liu L Y, Wu C S, Chen X, Gao Y, Xie S and Zhang B. 2020. Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform. Earth System Science Data, 12(3): 1625-1648.
44. 44.
    Zhang Y, Joiner J, Alemohammad S H, Zhou S and Gentine P. 2018. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences, 15(19): 5779-5800.
45. 45.
    Zhang Z X, Xu W, Qin Q M and Long Z H. 2021b. Downscaling solar-induced chlorophyll fluorescence based on convolutional neural network method to monitor agricultural drought. IEEE Transactions on Geoscience and Remote Sensing, 59(2): 1012-1028.