Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature
نویسندگان
چکیده
Actual evapotranspiration (ET) with high spatiotemporal resolution is very important for the research on agricultural water resource management and cycle processes, it helpful to realize precision agriculture smart agriculture, provides critical references layout planning. Due impact of clouds, weather environment, orbital period optical satellite, there are difficulties in providing daily remote sensing data that not contaminated by clouds estimating ET spatial-temporal resolution. By improving enhanced spatial temporal adaptive reflectance fusion model (ESTARFM), this manuscript proposes method fuse low Weather Research Forecasting (WRF) surface skin temperature (TSK) obtaining be used estimation (ET_WRFHR). The distinction study from previous literatures can summarized as novel application WRF-simulated TSK temperature, giving full play availability at any time region, making up shortcomings data, combining obtain (Landsat-like scale) (daily) ET_WRFHR were cross-validated quantitatively verified MODIS products (MOD16) observations (ET_Obs) eddy covariance system. Results showed only better reflects difference dynamic evolution process different land types but also identifies details various fine geographical objects. It represented a correlation ET_Obs R2 amount reaching 0.9186. Besides, RMSE BIAS between obtained 0.77 mm/d ?0.08 respectively. High R2, well small amounts, indicate has achieved good performance.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13020225