Remote sensing algorithm for surface evapotranspiration considering landscape and statistical effects on mixed pixels
作者: Z. Q. PengZ. Q. PengX. XinJ. J. JiaoJ. J. JiaoT. ZhouT. ZhouQ. Liu Q. Liu
作者单位: 1tate Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
2University of Chinese Academy of Sciences, Beijing, 100049, China
3State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
4State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China;
刊名: Hydrology and Earth System Sciences, 2016, Vol.20 , pp.4409-4438
来源数据库: Directory of Open Access Journals
DOI: 10.5194/hess-20-4409-2016
原始语种摘要: Evapotranspiration (ET) plays an important role in surface–atmosphere interactions and can be monitored using remote sensing data. However, surface heterogeneity, including the inhomogeneity of landscapes and surface variables, significantly affects the accuracy of ET estimated from satellite data. The objective of this study is to assess and reduce the uncertainties resulting from surface heterogeneity in remotely sensed ET using Chinese HJ-1B satellite data, which is of 30 m spatial resolution in VIS/NIR bands and 300 m spatial resolution in the thermal-infrared (TIR) band. A temperature-sharpening and flux aggregation scheme (TSFA) was developed to obtain accurate heat fluxes from the HJ-1B satellite data. The IPUS (input parameter upscaling) and TRFA (temperature resampling and flux...
全文获取路径: DOAJ  (合作)
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关键词翻译
关键词翻译
  • sensing 感觉
  • surface 
  • considering 鉴于
  • resampling 再抽样
  • algorithm 算法
  • sharpening 锐化
  • spatial 空间的
  • statistical 统计的
  • landscape 景观
  • accurate 精确的