%0 Dataset
%T Evapotranspiration data of Heihe River Basin from 2000 to 2010
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/6181ee4b-a43e-4f3c-94ac-9d3ee9260167
%W NCDC
%R 10.12072/ncdc.Westdc.db0021.2020
%A Heihe project data management center
%K Evapotranspiration;etwatch;SEBS model;penman Montes formula;SEBAL model
%X ET (evapotranspiration) monitoring is very important for agricultural water resources management, regional water resources utilization planning and socio-economic sustainable development. The limitation of traditional et monitoring method is that it can not be observed in large area at the same time, and it can only be limited to observation points. Therefore, the cost of personnel and equipment is relatively high. It can not provide the ET data on the surface, nor can it provide the ET data of different land use types and crop types. The quantitative monitoring of ET can be achieved by using remote sensing. The characteristics of remote sensing information are that it can not only reflect the macro structural characteristics of the earth surface, but also reflect the micro local differences. Due to the differences in groundwater depth, irrigation and management, even if it is adjacent plots, the real agricultural water consumption will be very different. Remote sensing monitoring based on pixel can monitor the spatial differences of crop evapotranspiration, and can provide better field level agricultural water consumption information. The objective of this project is to take the remote sensing estimation of land surface evapotranspiration in arid areas as the research object. Aiming at the bottleneck problem in the parameterization of evapotranspiration model, the etwatch method and the existing ground observation basis of Heihe River are fully used. The quantitative description method of thermal heterogeneity of underlying surface, the closure correction of surface energy, advection error compensation, surface water stress, and determination of atmospheric reference height are discussed In order to improve the reliability, stability and spatiotemporal continuity of evapotranspiration estimation at basin scale, a long-term evapotranspiration remote sensing data set of Heihe River Basin is constructed by optimizing the parameters of land surface with multi-scale and