A satellite-based Daily Actual Evapotranspiration estimation algorithm over South Florida
Title :
A satellite-based Daily Actual Evapotranspiration estimation algorithm over South Florida
https://pdf.sciencedirectassets.com/271759/1-s2.0-S0921818109X00056/1-s2.0-S0921818108002099/main.pdf?X-Amz-Date=20200427T141437Z&X-Amz-Algorithm=
AWS4-HMAC-SHA256&X-Amz-Signature=c1d52cf41e1ac43cf02fe93c55d689a103706db693d9457f6604c5a27b011dd5&X-Amz-Credential=ASIAQ3PHCVTY72OOZ3FJ%
2F20200427%2Fus-east-1%2Fs3%2Faws4_request&type=client&tid=prr-35b7df3c-a6ff-40f7-b9c6-318bcdb1c9da&sid=3707e362816d1842e08b3561cb3b3751f601gxrqa&
pii=S0921818108002099&X-Amz-SignedHeaders=host&X-Amz-SecurityToken=IQoJb3JpZ2luX2VjEJX%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3Qt
MSJGMEQCIESOIa98l%2FE9GiH6qyZtJX%2F5iO4dwUljfrLLYZkS3KF%2FAiAmdaFy39WCpcBWe0A7Ni2YZ32%2FzQbwrTF5hKqq9qiw9Cq9Awi%2B%2F%2F%2F%2F
%2F%2F%2F%2F%2F%2F8BEAMaDDA1OTAwMzU0Njg2NSIM1IvHFrU%2F2cr0w0xTKpEDqFQHaFi%2F5wRCvgdcNuPXKNWIcHs5Jkq3YcA6jm%2FkkARmz%2F9wz
KQoupGdFU77PTH%2BqUo7vNLIyQ647PHvyLVVhvk%2BIjzcRElkIw%2Flo3bm%2B2L4kpZj4WypldFz1FHk61IbWCduj3BRK5LR5NswbXSJ56wL62ClJBzXER8guRyqS
wpqKUzDt%2BqnD5QlTDXx7WjjbXjPu%2FJ7%2BqNFP3ablNzR%2FQnPviyknmj%2BPx97U1IZnp08UNOSwjAGKbQxPQtcqKH4M8UXTIZruB85ii%2FbzEnqsnXLq9cU
M7iINmLqiKvoiBbZnzQb8n3qk2nC4yO7iYj5SAfYFzQNmXJmr0RqB7FAz9zNJyk776ywoBRjO44%2BSc4NQm3peYbbPGoxpqK6hTq78ZeXlrUEDcKCpozsGWcaGgQSZ0J
OGmf6mCM4oVKYDcO%2BYFtunM1lwmoHyt949RcEBe2BIYMyrLbIa5y9aRD7jt0IQNyi%2F7QraU3yqj8oU%2BhtlztZ1VjPZxMVOCJ1%2F1G%2FGyBVXLYmBtvdWnur
6ypt5Dkw0KWb9QU67AEoOt28Wbn1iHzm5B%2BtZEYmcPc9CuPWUp6QulnXehkoUXEoXmMU7W%2BzcAGhEyd354f6fyaIRlxlJXCKeN9qJgNOK84bO8Ig1Bu8KAeq
ZjpHQDN%2BQimGt2dJ7Z5udn%2BbVms7dzcaKjt6JGGmKY%2F9tkZaFodsa1h2uqZ%2Bwy9A2By1GhUAo9jsgE%2Fbj9TuKo0RJvltsZnZ1pc3mjCbIJoQEaJntdoMnxu
%2FPWKp%2Bd41Vnj7wv4kDfSeTZE3XbXM46p9KePJSVDCCqRaHAsb1eDKD992l8L37SomxHke8vBFTsGBeL%2FDi2Hz90PAWPykbQ%3D%3D&host=68042c94359
1013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&X-Amz-Expires=300&hash=3d1bb4a8fa0d84b81946b17b5d82a3351ec179a2f9f169be31aaafe415fb9db1
Water resources and agricultural applications require the knowledge of evapotranspiration (ET) over a range of spatial and temporal scales. Due to paucity of surface based hydro-meteorological stations, the spatial resolution of ET estimates is fairly coarse and is not particularly suitable or reliable for hydrologic modeling, water resources planning and decision making. An ET estimation algorithm has been developed by combining data from satellite and ground observations. The method extends the applicability of a commonly used energy balance formulation of ET and utilizes the contextual relationship between remotely sensed surface temperature and vegetation index. The required parameters are derived from the Advanced Very High Resolution Radiometer (AVHRR) aboard NOAA-14 satellite. First, the Evaporative Fraction (EF) is estimated by utilizing the relationship between a vegetation index and radiometric surface temperature observed from AVHRR for each day. Then spatio-temporal interpolation and filtering techniques are applied to obtain daily EF values for cloudy pixels to produce the EF map for the entire region. Daily Actual ET (DAET) maps are derived from these EF maps and net radiation maps obtained from ground-based observations. The comparisons between satellite derived DAFT and ground measurements showed overall low bias and root-mean-square-error for both clear and cloudy days at South Florida in 1998 and 1999. The proposed satellite-based DAFT (SatDAET) algorithm has its EF component primarily estimated from satellite data and the resulting DAET has been validated using multi-year ground observations over the South Florida region. The SatDAET algorithm appears to be robust and has the potential to provide near real-time land surface evapotranspiration monitoring over large heterogeneous areas at a very fine spatial and temporal resolution.