globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.01.010
Scopus记录号: 2-s2.0-85016163936
论文题名:
Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
作者: Bhattarai N; , Shaw S; B; , Quackenbush L; J; , Im J; , Niraula R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 49
起始页码: 75
结束页码: 86
语种: 英语
英文关键词: Evapotranspiration ; Single-source energy balance models ; Southeastern US
Scopus关键词: algorithm ; energy balance ; estimation method ; evapotranspiration ; humid tropics ; Landsat ; mapping ; remote sensing ; surface energy ; United States ; Citrus ; Hymenachne
英文摘要: In the last two decades, a number of single-source surface energy balance (SEB) models have been proposed for mapping evapotranspiration (ET); however, there is no clear guidance on which models are preferable under different conditions. In this paper, we tested five models-Surface Energy Balance Algorithm for Land (SEBAL), Mapping ET at high Resolution with Internalized Calibration (METRIC), Simplified Surface Energy Balance Index (S-SEBI), Surface Energy Balance System (SEBS), and operational Simplified Surface Energy Balance (SSEBop)—to identify the single-source SEB models most appropriate for use in the humid southeastern United States. ET predictions from these models were compared with measured ET at four sites (marsh, grass, and citrus surfaces) for 149 cloud-free Landsat image acquisition days between 2000 and 2010. The overall model evaluation statistics showed that SEBS generally outperformed the other models in terms of estimating daily ET from different land covers (e.g., the root mean squared error (RMSE) was 0.74 mm day−1). SSEBop was consistently the worst performing model and overestimated ET at all sites (RMSE = 1.67 mm day−1), while the other models typically fell in between SSEBop and SEBS. However, for short grass conditions, SEBAL, METRIC, and S-SEBI appear to work much better than SEBS. Overall, our study suggests that SEBS may be the best SEB model in humid regions, although it may require modifications to work better over short vegetation. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80079
Appears in Collections:气候变化事实与影响

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作者单位: The Fletcher School, Tufts University, Medford, MA, United States; Environmental Resources Engineering, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea; Hydrology and Water Resources, University of Arizona, Tucson, AZ, United States

Recommended Citation:
Bhattarai N,, Shaw S,B,et al. Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,49
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