سابِق|تال

Comprehensive remote sensing experiment of water cycle and energy balance in the Shandian river basin

  • role： First author第一作者
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • Email：zhaotj@aircas.ac.cn
  • Introduction：赵天杰, 1985年生, 男, 副研究员, 研究方向为微波遥感土壤水分及其冻融态。E-mail: zhaotj@aircas.ac.cn
ZHAO Tianjie1,  
  • role： Corresponding author通信作者
  • Affiliation：

    中国科学院国家空间科学中心, 北京 100190

  • Email：shijiancheng@nssc.ac.cn
  • Introduction：施建成, 1955年生, 男, 研究员, 研究方向为遥感与地球系统科学。E-mail: shijiancheng@nssc.ac.cn
SHI Jiancheng2*,  
  • Affiliation：

    上海航天电子技术研究所, 上海 201109

  • No information about the author is available
XU Hongxin3,  
  • Affiliation：

    上海航天电子技术研究所, 上海 201109

  • No information about the author is available
SUN Yanlong3,  
  • Affiliation：

    水利部信息中心, 北京 100053

  • No information about the author is available
CHEN Deqing4,  
  • Affiliation：

    水利部信息中心, 北京 100053

  • No information about the author is available
CUI Qian4,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
JIA Li1,  
  • Affiliation：

    上海航天电子技术研究所, 上海 201109

  • No information about the author is available
HUANG Shuo3,  
  • Affiliation：

    上海卫星工程研究所, 上海 201109

  • No information about the author is available
NIU Shengda5,  
  • Affiliation：

    上海航天技术研究院, 上海 201109

  • No information about the author is available
LI Xiuwei6,  
  • Affiliation：

    北京师范大学, 北京 100875

  • No information about the author is available
YAN Guangjian7,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
CHEN Liangfu1,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
LIU Qinhuo1,  
  • Affiliation：

    中国科学院东北地理与农业生态研究所, 长春 130102

  • No information about the author is available
ZHAO Kai8,  
  • Affiliation：

    中国科学院东北地理与农业生态研究所, 长春 130102

  • No information about the author is available
ZHENG Xingming8,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
ZHAO Limin1,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
ZHENG Chaolei1,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
JI Dabin1,  
  • Affiliation：

    西南交通大学, 成都 611756

  • No information about the author is available
XIONG Chuan9,  
  • Affiliation：

    中山大学 测绘科学与技术学院, 珠海 519082

  • No information about the author is available
WANG Tianxing10,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
LI Rui1,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
PAN Jinmei1,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
WEN Jianguang1,  
  • Affiliation：

    北京师范大学, 北京 100875

  • No information about the author is available
MU Xihan7,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
YU Chao1,  
  • Affiliation：

    北京工商大学, 北京 100048

  • No information about the author is available
ZHENG Yaomin11,  
  • Affiliation：

    北京师范大学, 北京 100875

  • No information about the author is available
JIANG Lingmei7,  
  • Affiliation：

    北京师范大学, 北京 100875

  • No information about the author is available
CHAI Linna7,  
  • Affiliation：

    清华大学, 北京 100084

  • No information about the author is available
LU Hui12,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
YAO Panpan1,  
  • Affiliation：

    中国水利水电科学研究院, 北京 100038

  • No information about the author is available
MA Jianwei13,  
  • Affiliation：

    河海大学, 南京 210098

  • No information about the author is available
LYU Haishen14,  
  • Affiliation：

    北京师范大学, 北京 100875

  • No information about the author is available
WU Jianjun7,  
  • Affiliation：

    中国科学院水利部成都山地灾害与环境研究所, 成都 610041

  • No information about the author is available
ZHAO Wei15,  
  • Affiliation：

    河南理工大学, 焦作 454000

  • No information about the author is available
YANG Na16,  
  • Affiliation：

    山东农业大学, 泰安 271018

  • No information about the author is available
GUO Peng17,  
  • Affiliation：

    电子科技大学, 成都 611731

  • No information about the author is available
LI Yuxia18,  
  • Affiliation：

    南京大学, 南京 210023

  • No information about the author is available
HU Lu19,  
  • Affiliation：

    中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101

  • No information about the author is available
GENG Deyuan1,  
  • Affiliation：

    中山大学 测绘科学与技术学院, 珠海 519082

  • No information about the author is available
ZHANG Ziqian10,  
  • Affiliation：

    锡林郭勒盟水文勘测局, 锡林郭勒 027300

  • No information about the author is available
HU Jianfeng20,  
  • Affiliation：

    锡林郭勒盟气象台, 锡林郭勒 026000

  • No information about the author is available
DU Aiping21

ملخص

Remote sensing experiment is an important tool for the verification of remote sensing principles, development of radiative transfer models and retrieval algorithms, and calibration/validation of satellite products. It can help the demonstration of new satellite missions and the promotion of its application in Earth system science. The comprehensive remote sensing experiment of water cycle and energy balance in the Shandian River (the upper stream of Luan River) integrates the space, airborne and ground based remote sensing technologies to conduct a full-band and active-passive observation of typical elements related to water cycle and energy balance processes of the Earth system. It is aimed to study the spatial-temporal variability and observation strategy of those hydro-thermal elements at various remote sensing scales, to study the remote sensing methodologies of those elements and their application in land surface and hydrology models, and to support the design and feasibility studies of new satellite missions (Terrestrial Water Resources Satellite, Energy Budget Observation Mission) in China.The paper describes the general design of this experiment, its scientific objectives and main compositions including the airborne missions, ground sampling strategies, ground-based observation experiments and key variables measurement through wireless sensor networks. Airborne experiments were conducted to obtain multi-resolution, multi-angle observations of both active and passive microwave together with infrared, multispectral, and hyperspectral data. It enables us to explore the remote sensing of various parameters and the impacts of scaling issues, as well as the incidence angle effects associated with the synthetic aperture radiometer system. Ground-based synchronous observation experiments were carried out based on microwave radiometer, radar and spectroradiometer. Concurrent ground data included soil moisture, ground temperature, vegetation water content and surface roughness, etc. are sampled based on large-medium-small quadrats to cover a wide range of land surface conditions. Moreover, ground observation networks were established to monitor meteorological parameters, soil temperature and moisture, surface radiation, evapotranspiration, and precipitation, etc.This experiment provides a unique platform to explore the synergy of active, passive microwave and optical data for water cycle and energy balance remote sensing at improved accuracy and resolution. The experiment overview and preliminary analysis of remote sensing and ground data have confirmed that the data set will help to address a variety of science questions of land-atmosphere energy and water exchanges under global change.

مفهوم

remote sensing experiment;water cycle;energy balance;Shandian river basin;airborne observation;watershed observation network

References

  1. 1.
    Bindlish R, Jackson T J, Gasiewski A J, Klein M and Njoku E G. 2006. Soil moisture mapping and AMSR-E validation using the PSR in SMEX02. Remote Sensing of Environment, 103(2): 127-139
  2. 2.
    Chen S P. 1998. Earth System Science. Beijing: Science and Technology of China Press: 271 (陈述彭. 1998. 地球系统科学: 中国进展·世纪展望. 北京: 中国科学技术出版社: 271)
  3. 3.
    Colliander A, Jackson T J, Bindlish R, Chan S, Das N, Kim S B, Cosh M H, Dunbar R S, Dang L, Pashaian L, Asanuma J, Aida K, Berg A, Rowlandson T, Bosch D, Caldwell T, Caylor K, Goodrich D, al Jassar H, Lopez-Baeza E, Martínez-Fernández J, González-Zamora A, Livingston S, McNairn H, Pacheco A, Moghaddam M, Montzka C, Notarnicola C, Niedrist G, Pellarin T, Prueger J, Pulliainen J, Rautiainen K, Ramos J, Seyfried M, Starks P, Su Z, Zeng Y, van der Velde R, Thibeault M, Dorigo W, Vreugdenhil M, Walker J P, Wu X, Monerris A, O’Neill P E, Entekhabi D, Njoku E G and Yueh S. 2017. Validation of SMAP surface soil moisture products with core validation sites. Remote Sensing of Environment, 191: 215-231
  4. 4.
    Gu X F, Yu T, Tian G L, Zhou S Y, Wei C J, Li J, Yu Q, Liu D H, Wei Z, Meng Q Y, Xu H, Guo H, Zhou X, Wang C M, Zang W Q, Huang X Z, Gao H L, Zheng F J, Liu M, Wang D, Zhao Y M, Wei X Q, Sun Y, Li B, Liao J and Ren X Y. 2016. Up to the higher altitude-the new "three campaigns" for the development of China spaceborne remote sensing application. Journal of Remote Sensing, 20(5): 781-793
  5. 5.
    Jackson T J, Bindlish R, Gasiewski A J, Stankov B, Klein M, Njoku E G, Bosch D, Coleman T L, Laymon C A and Starks P. 2005. Polarimetric scanning radiometer C- and X-band microwave observations during SMEX03. IEEE Transactions on Geoscience and Remote Sensing, 43(11): 2418-2430
  6. 6.
    Jackson T J, Engman E T, Le Vine D, Schmugge T J, Lang R, Wood E and Teng W. 1994. Multitemporal passive microwave mapping in MACHYDRO'90. IEEE Transactions on Geoscience and Remote Sensing, 32(1): 201-206.
  7. 7.
    Jackson T J, Le Vine D M, Hsu A Y, Oldak A, Starks P J, Swift C T, Isham J D and Haken M. 1999. Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment. IEEE Transactions on Geoscience and Remote Sensing, 37(5): 2136-2151
  8. 8.
    Jackson T J, Le Vine D M, Swift C T, Schmugge T J and Schiebe F R. 1995. Large Area mapping of soil moisture using the ESTAR passive microwave radiometer in Washita’92. Remote Sensing of Environment, 54(1): 27-37
  9. 9.
    Kustas W P and Goodrich D C. 1994. Preface [to special section on Monsoon'90 multidisciplinary experiment]. Water Resources Research, 30(5): 1211-1225
  10. 10.
    Li X, Cheng G D, Liu S M, Xiao Q, Ma M G, Jin R, Che T, Liu Q H, Wang W Z, Qi Y, Wen J G, Li H Y, Zhu G F, Guo J W, Ran Y H, Wang S G, Zhu Z L, Zhou J, Hu X L and Xu Z W. 2013. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8): 1145-1160
  11. 11.
    Li X, Jin R, Liu S M, Ge Y, Xiao Q, Liu Q H, Ma M G and Ran Y H. 2016. Upscaling research in HiWATER: progress and prospects. Journal of Remote Sensing, 20(5): 921-932
  12. 12.
    Li X, Li X W, Li Z Y, Ma M G, Wang J, Xiao Q, Liu Q, Che T, Chen E X, Yan G J, Hu Z Y, Zhang L X, Chu R Z, Su P X, Liu Q H, Liu S M, Wang J D, Niu Z, Chen Y, Jin R, Wang W Z, Ran Y H, Xin X Z and Ren H Z. 2009. Watershed allied telemetry experimental research. Journal of Geophysical Research Atmospheres, 114(D22): D22103
  13. 13.
    Li X, Li X W, Li Z Y, Wang J, Ma M G, Liu Q, Xiao Q, Hu Z Y, Che T, Wang J M, Liu Q H, Chen E X, Yan G J, Liu S M, Wang W Z, Zhang L X, Wang J D, Niu Z, Jin R, Ran Y H and Wang L X. 2012a. Progresses on the watershed allied telemetry experimental research (WATER). Remote Sensing Technology and Application, 27(5): 637-649
  14. 14.
    Li X, Liu S M, Ma M G, Xiao Q, Liu Q H, Jin R, Che T, Wang W Z, Qi Y, Li H Y, Zhu G F, Guo J W, Ran Y H, Wen J G and Wang S G. 2012b. HiWATER: an integrated remote sensing experiment on hydrological and ecological processes in the Heihe River Basin. Advances in Earth Science, 27(5): 481-498
  15. 15.
    Mackenzie F T. 1998. Our Changing Planet: An Introduction to Earth System Science and Global Environmental Change. 2nd ed. New Jersey: Prentice Hall
  16. 16.
    Magagi R, Berg A A, Goita K, Belair S, Jackson T J, Toth B, Walker A, McNairn H, O’Neill P E, Moghaddam M, Gherboudj I, Colliander A, Cosh M H, Burgin M, Fisher J B, Kim S B, Mladenova I, Djamai N, Rousseau L P B, Belanger J, Shang J L and Merzouki A. 2013. Canadian experiment for soil moisture in 2010 (CanEx-SM10): overview and preliminary results. IEEE Transactions on Geoscience and Remote Sensing, 51(1): 347-363
  17. 17.
    McNairn H, Jackson T J, Wiseman G, Bélair S, Berg A, Bullock P, Colliander A, Cosh M H, Kim S B, Magagi R, Moghaddam M, Njoku E G, Adams J R, Homayouni S, Ojo E R, Rowlandson T L, Shang J L, Goïta K and Hosseini M. 2015. The soil moisture active passive validation experiment 2012 (SMAPVEX12): prelaunch calibration and validation of the SMAP soil moisture algorithms. IEEE Transactions on Geoscience and Remote Sensing, 53(5): 2784-2801
  18. 18.
    Merlin O, Walker J P, Chehbouni A and Kerr Y. 2008. Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency. Remote Sensing of Environment, 112(10): 3935-3946
  19. 19.
    Narayan U, Lakshmi V and Njoku E G. 2004. Retrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02). Remote Sensing of Environment, 92(4): 483-496
  20. 20.
    Nichols W E, Cuenca R H, Schmugge T J and Wang J R. 1993. Pushbroom microwave radiometer results from HAPEX-MOBILHY. Remote Sensing of Environment, 46(2): 119-128
  21. 21.
    Panciera R, Walker J P, Jackson T J, Gray D A, Tanase M A, Ryu D, Monerris A, Yardley H, Rüdiger C, Wu X L, Gao Y and Hacker J M. 2014. The soil moisture active passive experiments (SMAPEx): toward soil moisture retrieval from the SMAP mission. IEEE Transactions on Geoscience and Remote Sensing, 52(1): 490-507
  22. 22.
    Panciera R, Walker J P, Kalma J D, Kim E J, Hacker J M, Merlin O, Berger M and Skou N. 2008. The NAFE’05/CoSMOS data set: toward SMOS soil moisture retrieval, downscaling, and assimilation. IEEE Transactions on Geoscience and Remote Sensing, 46(3): 736-745
  23. 23.
    Peischl S, Walker J P, Rüdiger C, Ye N, Kerr Y H, Kim E, Bandara R and Allahmoradi M. 2012. The AACES field experiments: SMOS calibration and validation across the Murrumbidgee River catchment. Hydrology and Earth System Sciences, 16(6): 1697-1708
  24. 24.
    Saleh K, Wigneron J P, Calvet J C, Lopez-Baeza E, Ferrazzoli P, Berger M, Wursteisen P, Simmonds L and Miller J. 2004. The EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces. International Journal of Remote Sensing, 25(1): 177-194
  25. 25.
    Schmugge T, Jackson T J, Kustas W P and Wang J R. 1992. Passive microwave remote sensing of soil moisture: results from HAPEX, FIFE and MONSOON 90. ISPRS Journal of Photogrammetry and Remote Sensing, 47(2/3): 127-143
  26. 26.
    Shi J C and Lei Y H. 2016. Remote sensing and Earth system science. Journal of Remote Sensing, 20(5): 827-831
  27. 27.
    Sun Y L, Li E C, Luan Y H, Zhao T J, Xu H X, Zhao F, Yao C B, Lv L Q, Hu L and Geng D Y. 2020. Radiometric calibration of a new airborne microwave sensor for soil moisture mapping at L-band. National Remote Sensing Bulletin, 25(4): 918-928
  28. 28.
    Wang J R, Shiue J C, Schmugge T J and Engman E T. 1990. The L-band PBMR measurements of surface soil moisture in FIFE. IEEE Transactions on Geoscience and Remote Sensing, 28(5): 906-914
  29. 29.
    Wang P X. 2003. Earth system science in China Quo Vadis. Advance in Earth Sciences, 18(6): 837-851
  30. 30.
    Yan G J， Zhao T J, Mu X H, Wen J G, Pang Y, Jia L, Zhang Y G, Chen D Q, Yao C B, Cao Z Y, Lei Y H, Ji D B, Chen L F, Liu Q H, Lyu L Q, Chen J M and Shi J C. 2021. Comprehensive Remote Sensing Experiment of Carbon Cycle, Water Cycle and Energy Balance in Luan River Basin. National Remote Sensing Bulletin， 25(4): 856-870
  31. 31.
    Zhao T J, Zhang L X, Jiang L M, Chen Q, Zhang Z Y and Zhang Y P. 2009. Joint inversion of soil moisture using active and passive microwave data. Advances in Earth Science, 24(7): 769-775
  32. 32.
    Zheng C L, Hu G C, Chen Q T and Jia L. 2020. Impact of remote sensing soil moisture on the evapotranspiration estimation. National Remote Sensing Bulletin, 25(4): 991-1000
  33. 33.
    Zribi M, Pardé M, Boutin J, Fanise P, Hauser D, Dechambre M, Kerr Y, Leduc-Leballeur M, Reverdin G, Skou N, Søbjærg S, Albergel C, Calvet J C, Wigneron J P, Lopez-Baeza E, Rius A and Tenerelli J. 2011. CAROLS: a new airborne L-band radiometer for ocean surface and land observations. Sensors, 11(1): 719-742

قراءة النص الكامل

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