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DOI10.1016/j.rse.2020.111674
Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature
Song L.; Bian Z.; Kustas W.P.; Liu S.; Xiao Q.; Nieto H.; Xu Z.; Yang Y.; Xu T.; Han X.
发表日期2020
ISSN00344257
卷号239
英文摘要The retrieval of canopy and soil component temperatures for estimating evapotranspiration in the two source energy balance (TSEB) model depends on a relatively accurate partitioning of soil/substrate evaporation and canopy transpiration along with the soil and vegetation temperature components. To avoid the need for a Priestley-Taylor based transpiration formulation, this study applies the TSEB model using radiometric land surface temperature observations at multiple view angles from an airborne sensor for estimating soil and canopy temperatures directly. This direct partitioning between soil and canopy temperatures applied with the TSEB formulation improved the agreement between observed and modeled surface heat fluxes, reducing mean absolute percentage error (MAPE) in latent heat fluxes (LE) with flux tower observations from nearly 20% using the original Priestley-Taylor based TSEB model (TSEB-PT) to 15% using TSEB with thermal infrared observations from two substantially different view angles (TSEB-2AG) to nearly 5% using multiple (~6) view angles (TSEB-6AG). Moreover, TSEB-6AG is shown to compute physically realistic spatially-distributed LE for a range of vegetation cover and environmental conditions over the imaged domain. Values of MAPE for sensible heat (H) tended to be larger for all three models due to the fact that tower measurements tended to be located in well irrigated and densely vegetated sites having relatively low H values. This increased accuracy of soil and vegetation component temperature separation using multiangle radiometric temperature observations is useful for evaluating the utility of single and dual view angle thermal radiometer measurements currently available for applying the TSEB model. © 2020 Elsevier Inc.
英文关键词Airborne multiangle radiometric temperature observations; Soil and canopy temperature partitioning; Surface flux estimation; TSEB model
语种英语
scopus关键词Atmospheric temperature; Evapotranspiration; Heat flux; Radiometry; Soils; Surface measurement; Surface properties; Transpiration; Vegetation; Canopy temperature; Canopy transpirations; Environmental conditions; Mean absolute percentage error; Radiometric temperature; Surface flux; Tseb models; Vegetation temperature; Land surface temperature; airborne sensor; environmental conditions; estimation method; evapotranspiration; heat flux; land surface; latent heat flux; observational method; radiometer; satellite sensor; soil-vegetation interaction; vegetation cover
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179439
作者单位State Cultivation Base of Eco-agriculture for Southwest Mountainous Land, Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Nature Resources, Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, 400715, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Sciences, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China; U.S. Department of Agricultural, Agricultural Research Service, Hydrology and Remote Sensing Lab, Beltsville, MD 20705, United States; COMPLUTIG, Colegios 2, Alcala de Henares, 28801, Spain
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Song L.,Bian Z.,Kustas W.P.,et al. Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature[J],2020,239.
APA Song L..,Bian Z..,Kustas W.P..,Liu S..,Xiao Q..,...&Han X..(2020).Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature.Remote Sensing of Environment,239.
MLA Song L.,et al."Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature".Remote Sensing of Environment 239(2020).
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