Modeling bulk surface resistance and evaluation of evapotranspiration using remote sensing and MATLAB

Abstract In developing countries, computation of actual evapotranspiration (AET) is challenging due to the lack ground-based flux measurement data. The estimation AET crucial for water resources management involving allocation different land use/land cover (LULC) classes. study's novelty was mapping pixel-by-pixel spatial variations bulk surface resistance and evaluating derived in a sub-humid tropical river basin where tower data lacking validation. This study aimed map evaluate estimated by global product (MOD16A2). Moderate Resolution Imaging Spectroradiometer (MODIS) products, including reflectance (LSR), temperature (LST) leaf area index (LAI) data, were used as input MATLAB pixel-wise analyze seasonal (rs) pre-monsoon post-monsoon seasons during years 2019 2012. 2012 selected because experienced relatively wet post-monsoon, whereas opposite conditions, which proved useful when interpreting that are influenced wetness conditions. Overall, results indicated significant variability rs LULC MOD16A2 determined be slightly higher than classes' AET. MODIS satellite products provided information on characteristics at reasonable resolution. permitted identification differences classes changes season helpful estimating