作者: Yunqiao Shu , Simon Stisen , Karsten H. Jensen , Inge Sandholt
DOI: 10.1016/J.JAG.2010.11.002
关键词: Geostationary orbit 、 Geography 、 Spatial variability 、 Satellite 、 Spatial analysis 、 Normalized Difference Vegetation Index 、 Albedo 、 Remote sensing 、 Meteorology 、 Moderate-resolution imaging spectroradiometer 、 Evapotranspiration
摘要: Abstract Data from the first operational Chinese geostationary satellite Fengyun-2C (FY-2C) are applied in combination with Moderate Resolution Imaging Spectroradiometer (MODIS) products for assessment of regional evapotranspiration over North China Plain. The approach is based on improved triangle method, where temperature–vegetation index space includes thermal inertia. Two infrared channels FY-2C used to estimate surface temperature (Ts) a split window algorithm originally proposed MSG-SEVIRI sensor. Subsequently high temporal resolution data exploited give morning rise Ts. Combined 16 days composite MODIS vegetation indices product (MOD13) at spatial 5 km, evaporative fraction (EF) estimated by interpolation ΔTs–NDVI triangular-shaped scatter space. Finally, actual (ET) derived and available energy albedo MCD43. Spatial variations variables (Ts, EF ET) corresponded well land cover patterns farmland management practices. Estimated ET also compared lysimeter collected period June 2005–September 2007. method was comparison. Estimates proved provide slightly better results than those products. consistency variation other supports use estimation using method. Of particular value frequency image acquisitions which improves likelihood obtaining cloud free as polar orbiting sensors like MODIS.