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Integrating satellite-based remote sensing with ground observations to estimate daily evapotranspiration
Andrew N. French

Last modified: 2017-08-17

Abstract


Mapping of evapotranspiration (ET) at field scales provides a way to monitor and manage crop water use. In recent decades significant advances have been made to improve estimation of ET by using physically based algorithms and satellite-based remote sensing. However, those advances have been hindered by technological and environmental limitations such as inadequate spatial and temporal resolution and cloudy skies. Recently earth resources satellites, notably Sentinel 2 and Venus, have been launched that will make it possible to mitigate these problems: combined with Landsat 7 and 8 data, these imagers are able to provide up 5-30 m resolution data at weekly time steps. This means that ET mapping capabilities are approaching a threshold where remote sensing data can be operationally combined with ground observations to yield useful water management forecasts. The aim of this presentation is to illustrate three ET models that could be implemented in most agricultural regions. These are a vegetation index- crop coefficient approach, a two-source surface energy balance model, TSEB, and a one-source contextual energy balance model, METRIC. Results from a study in central Arizona will be shown and their potential applicability for Nepal will be discussed.


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