Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2012, Vol. 24 Issue (1) : 1-7     DOI: 10.6046/gtzyyg.2012.01.01
Review |
Advances in the Study of Evapotranspiration of Regional Land Surface Based on Remote Sensing Technology
WANG Wan-tong1,2, ZHAO Qing-liang1, DU Jia2
1. College of Environment and Planning, Henan University, Kaifeng 475001, China;
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China
Download: PDF(755 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  The development of remote sensing technology provides a new means for the inversion and estimation of widespread land surface evapotranspiration(ET). Researchers both in China and abroad have already studied the theories and techniques of this field. The principle of energy balance is the basic theory of estimating land surface ET, which has led to the formulation of a lot of models and algorithms of remote sensing ET. Based on an analysis of basic principles as well as merits and shortcomings of several models, the authors expound the adaptability and progress of different methods, point out the existing problems of the study of remote sensing ET, and finally prospect the development trend of remote sensing ET.
Keywords Rule-based substitution methods      Multi-source remote sensing      Information extraction      Wetlands      Sanjiang Plain     
: 

TP 79

 
  S 161.4

 
Issue Date: 07 March 2012
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
YU Huan
KONG Bo
YANG De-sheng
Cite this article:   
YU Huan,KONG Bo,YANG De-sheng. Advances in the Study of Evapotranspiration of Regional Land Surface Based on Remote Sensing Technology[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 1-7.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.01.01     OR     https://www.gtzyyg.com/EN/Y2012/V24/I1/1
[1] Burman R,Pochop L.Evaporation,Evapotranspiration and Climatic Data[M].The Netherlands:Elsevier Science,1994.
[2] Bowen I S.The Ratio of Heat Losses by Conduction and by Evaporation from any Water Surface[J].Physical Review,1926,27(6):779-787.
[3] Thornthwaite C W,Holzman A.Report of the Commutation on Transpiration and Evaporations[J].Transactions of the American Geophysical Union,1944,25(1):683-693.
[4] Penman H L.Natural Evaporation from Open Water,Bare Soil and Grass[J].Proceedings of the Royal Society of London,Series A,Mathematical and Physical Sciences,1948,193(1032):120-145.
[5] Monteith J L.Principles of Environmental Physics[D].London:Edward Arnold,1973.
[6] 张仁华.定量热红外遥感模型及地面实验基础[M].北京:科学出版社,2009.
[7] Nagler P L,Scott R L,Westenburg C,et al.Evapotranspiration on Western U.S. Rivers Estimated Using the Enhanced Vegetation Index from MODIS and Data from Eddy Covariance and Bowen Ratio Flux Towers[J].Remote Sensing of Environment,2005,97(3):337-351.
[8] Prater M R,Delucia E H.Non-native Grasses Alter Evapotranspiration and Energy Balance in Great Basin Sagebrush Communities[J].Agricultural and Forest Meteorology,2006,139(1/2):154-163.
[9] Jackson R D,Reginato R J,Idso S B.Wheat Canopy Temperature:a Practical Tool for Evaluating Water Requirements[J].Water Resource Research,1977,13(3):651-656.
[10] Idso S B,Reginato R J,Jackson R D.An Equation for Potential Evaporation from Soil,Water and Crop Surfaces Adaptable to Use by Remote Sensing[J].Geophysical Research Letters,1977,4(5):187-188.
[11] Seguin B,Itier B.Using Midday Surface Temperature to Estimate Daily Evaporation from Satellite Thermal IR Data[J].International Journal of Remote Sensing,1983,4(2):371-383.
[12] 田国良.黄河流域典型地区遥感的动态研究(一)[J].遥感技术与应用,1990(2):25-32.
[13] 陈鸣,潘之棣.用卫星遥感热红外数据估算大面积蒸散量[J].水科学进展,1994,5(2):126-133.
[14] Sánchez J M,Caselles V,Niclós R,et al.Evaluation of the B-method for Determining Actual Evapotranspiration in a Boreal Forest from MODIS Data[J].International Journal of Remote Sensing,2007,28(6):1231-1250.
[15] Carlson T N,Capehart W J,Gillies R R.A New Look at the Simplified Method for Remote Sensing of Daily Evapotranspiration[J].Remote Sensing of Environment,1995,54(2):161-167.
[16] Moran M S,Clarke T R,Inoue Y,et al.Estimating Crop Water Deficit Using the Relation Between Surface-air Temperature and Spectral Vegetation Index[J].Remote Sensing of Environment,1994,49(3):246-263.
[17] Lambin E F,Ehrlich D.The Surface Temperature-vegetation Index Space for Land Cover and Land-cover Change Analysis[J].International Journal of Remote Sensing,1996,17(3):463-487.
[18] Jiang L,Islam S.An Intercomparison of Regional Latent Heat Flux Estimation Using Remote Sensing Data[J].International Journal of Remote Sensing,2003,24(11):2221-2236.
[19] Batra N S,Islam V,Venturini G,et al.Estimation and Comparison of Evapotranspiration from MODIS and AVHRR Sensors for Clear Sky Days over the Southern Great Plains[J].Remote Sensing of Environment,2006,103(1):1-15.
[20] Carlson T N,Ripley D A.On the Relation Between NDVI,Fractional Vegetation Cover,and Leaf Area Index[J].Remote Sensing of Environment,1997,62(3):241-252.
[21] 甘甫平,陈伟涛,张绪教,等.热红外遥感反演陆地表面温度研究进展[J].国土资源遥感,2006(1):6-11.
[22] Zhang L,Lemeur R,Goutorbe J P.A One-layer Resistance Model for Estimating Regional Evapotranspiration Using Remote Sensing Data[J].Agricultural and Forest Meteorology,1995,77(3/4):241-261.
[23] Schmugge T J,Kustas W P,Ritchie J C,et al.Remote Sensing in Hydrology[J].Advances in Water Resources,2002,25(8/12):1367-1385.
[24] 陈镜明.现用遥感蒸散模式中的一个重要缺点及改进[J].科学通报,1988(6):454-457.
[25] Kustas W P,Choudhury B J,Moran M S,et al.Determination of Sensible Heat Flux Sparse Canopy Using Thermal Infrared Data[J].Agricultural and Forest Meteorology,1989,44(3/4):197-216.
[26] 谢贤群.遥感瞬时作物表面温度估算农田全日蒸发散总量[J].环境遥感,1991,6(4):253-259.
[27] Bastiaanssen W G M,Menenti M,Feddes R A,et al.A Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL)-1.Formulation[J].Journal of Hydrology,1998,212/213:198-212.
[28] Bastiaanssen W G M,Pelgrum H,Wang J,et al.A Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL)-2.Validation[J].Journal of Hydrology,1998,212/213(1/4):213-229.
[29] Bastiaanssen W G M.SEBAL-based Sensible and Latent Heat Fluxes in the Irrigated Gediz Basin,Turkey[J].Journal of Hydrology,2000,229(1/2):87-100.
[30] Bastiaanssen W G M,Noordman E J M,Pelgrum H D,et al.SEBAL Model with Remotely Sensed Data to Improve Water-resources Management under Actual Field Conditions[J].ASCE Journal of Irrigation and Drainage Engineering,2005,131(1):85-93.
[31] Tasumi M,Allen R G.Satellite-based ET Mapping to Assess Variation in ET with Timing of Crop Development[J].Agricultural Water Management,2007,88(1/3):54-62.
[32] Menenti M,Choudhury B.Parameterization of Land Surface Evaporation by Means of Location Dependent Potential Evaporation and Surface Temperature Range[C]//Proceedings of IAHS Conference on Land Surface Processes,1993:561-568.
[33] Su Z.The Surface Energy Balance System (SEBS) for Estimation of Turbulent Heat Fluxes[J].Hydrology and Earth System Sciences,2002,6(1):85-99.
[34] Roerink G J,Su Z,Menenti M.A Simple Remote Sensing Algorithm to Estimate the Surface Energy Balance[J].Physics and Chemistry of the Earth (B),2000,25(2):147-157.
[35] Gómez M,Olioso A,Sobrino J A,et al.Retrieval of Evapotranspiration over the Alpilles/ReSeDA Experimental Site Using Airborne POLDER Sensor and a Thermal Camera[J].Remote Sensing of Environment,2005,96(3/4):399-408.
[36] Sobrino J A,Gómez M,Jiménez-Munoz J,et al.A Simple Algorithm to Estimate Evapotranspiration from DAIS Data:Application to the DAISEX Campaigns[J].Journal of Hydrology,2005,315(1/4):117-125.
[37] Shuttleworth W J,Gurney R J.The Theoretical Relationship Between Foliage Temperature and Canopy Resistance in Sparse Crop[J].Quarterly Journal of Royal Meteorological Society,1990,116(492):497-519.
[38] Norman J M,Kustas W P,Humes K S.Source Approach for Estimating Soil and Vegetation Energy Fluxes in Observations of Directional Radiometric Surface Temperature[J].Agricultural and Forest Meteorology,1995,77(3/4):263-293.
[39] Lhomme J P,Chehbouni A.Comments on Dual-source Vegetation Atmosphere Transfer Models[J].Agricultural and Forest Meteorology,1999,94(3/4):269-273.
[40] Blyth E M,Harding R J.Application of Aggregation Model to Surface Heat Flux from the Sahelian Tiger Bush[J].Agricultural and Forest Meteorology,1995,72(3/4):213-215.
[41] Nishida K,Nemani R R,Running S W,et al.Remote Sensing of Land Surface Evaporation(I) Theoretical Basis for an Operational Algorithm[EB/OL].[2011-05-20].Http://secure.ntsg.umt.edu/projects/files/documents/mod16/SER-ver9-JGR.DOC.
[42] 何玲,莫兴国,汪志农.基于MODIS遥感数据计算无定河流域日蒸散[J].农业工程学报,2007,23(5):114-149.
[43] Anderson M C,Norman J M,Diak G R,et al.A Two-source Time-integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing[J].Remote Sensing of Environment,1997,60(2):195-216.
[44] Anderson M C,Norman J M,Mecikalski J R,et al.A Climatological Study of Evapotranspiration and Moisture Stress Across the Continental United States Based on Thermal Remote Sensing 1. Model Formulation[J].Journal of Geophysical Research,2007,112(D10):117-129.
[45] Delécollet R,Mass S J,Guérif M,et al.Remote Sensing and Crop Production Models:Present Trends[J].ISPRS Journal of Photogrammetry and Remote Sensing,1992,47(2/3):145-161.
[46] 徐同仁,刘绍民,秦军,等.同化MODIS温度产品估算地表水热通量[J].遥感学报,2009,13(6):999-1009.
[47] Olioso A,Chauki H,Courault D,et al.Estimation of Evapotranspiration and Photosynthesis by Assimilation of Remote Sensing Data into SVAT Models[J].Remote Sensing of Environment,1999,68(3):341-356.
[48] 辛晓洲,田国良,柳钦火.地表蒸散定量遥感的研究进展[J].遥感学报,2003,7(3):233-240.
[49] Cleugh H A,Leuning R,Mu Q Z,et al.Regional Evaporation Estimates from Flux Tower and MODIS Satellite Data[J].Remote Sensing of Environment,2007,106(3):285-304.
[50] 李新,马明国,王建,等.黑河流域遥感—地面观测同步试验科学目标与试验方案[J].地球科学进展,2008,23(9):897-914.
[51] 卢俐,刘绍民,孙敏章,等.大孔径闪烁仪研究区域地表通量的进展[J].地球科学进展,2005,20(9):932-938.
[1] WEI Yingjuan, LIU Huan. Remote sensing-based mineralized alteration information extraction and prospecting prediction of the Beiya gold deposit, Yunnan Province[J]. Remote Sensing for Natural Resources, 2021, 33(3): 156-163.
[2] MOU Xiaoli, LI He, HUANG Chong, LIU Qingsheng, LIU Gaohuan. Application progress of Google Earth Engine in land use and land cover remote sensing information extraction[J]. Remote Sensing for Land & Resources, 2021, 33(2): 1-10.
[3] XIA Yan, HUANG Liang, CHEN Pengdi. Tobacco fine extraction from UAV image based on fuzzy-superpixel segmentation algorithm[J]. Remote Sensing for Land & Resources, 2021, 33(1): 115-122.
[4] WANG Lin, XIE Hongbo, WEN Guangchao, YANG Yunhang. A study on water information extraction method of cyanobacteria lake based on Landsat8[J]. Remote Sensing for Land & Resources, 2020, 32(4): 130-136.
[5] Bai, Yuying, Chengling, Yanru, Shihu. Different remote sensing image matching methods based on multiple constraints[J]. Remote Sensing for Land & Resources, 2020, 32(3): 49-54.
[6] Chang LIU, Kang YANG, Liang CHENG, Manchun LI, Ziyan GUO. Comparison of Landsat8 impervious surface extraction methods[J]. Remote Sensing for Land & Resources, 2019, 31(3): 148-156.
[7] Zhan YIN, Lijun ZHANG, Jianliang DUAN, Pei ZHANG. Improvement and application of forced invariance vegetation suppression in southern vegetation area[J]. Remote Sensing for Land & Resources, 2019, 31(2): 82-88.
[8] Wei ZHANG, Jianwei QI, Ying CHEN, Xu HAN. A study of block adjustment of domestic multi-source high resolution satellite images[J]. Remote Sensing for Land & Resources, 2019, 31(1): 125-132.
[9] Yueru WANG, Pengpeng HAN, Shujing GUAN, Yu HAN, Lin YI, Tinggang ZHOU, Jinsong CHEN. Information extraction of Dracaena sanderiana planting area based on Landsat8 OLI data[J]. Remote Sensing for Land & Resources, 2019, 31(1): 133-140.
[10] Jiasi YI, Xiangyun HU. Extracting impervious surfaces from multi-source remote sensing data based on Grabcut[J]. Remote Sensing for Land & Resources, 2018, 30(3): 174-180.
[11] Yangming WANG, Jingfa ZHANG, Zhirong LIU, Xuhui SHEN. Active faults interpretation of Shannan area in Tibet based on multi-source remote sensing data[J]. Remote Sensing for Land & Resources, 2018, 30(3): 230-237.
[12] Xiaogang HOU, Zhaojun ZHENG, Shuai LI, Xuehua CHEN, Yu CUI. Generation of daily cloudless snow cover product in the past 15 years in Xinjiang and accuracy validation[J]. Remote Sensing for Land & Resources, 2018, 30(2): 214-222.
[13] Yong WANG, Yinling ZHANG, Shucheng YOU, Zhongwu WANG, Hai WEI, Yang LI. Checkup of land consolidation project using ZY1-02C data[J]. Remote Sensing for Land & Resources, 2018, 30(1): 144-149.
[14] DING Yuxue, CHU Yu, XUE Guangyin. Using domestic satellite data to carry out wetland survey:Exemplified by Heilongjiang Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 151-154.
[15] XUE Qing, WU Wei, LI Mingsong, DONG Shuangfa, ZHANG Xinyi, SHI Haigang. Application of GF-1 satellite data to remote sensing monitoring of the mine[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 67-72.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech