ESTIMATING GROSS PRIMARY PRODUCTION IN CROPLAND WITH HIGH SPATIAL AND TEMPORAL SCALE REMOTE SENSING DATA

Understanding IS dynamic is vital for ensuring sustainable development in the Lancang-Mekong basin and worldwide. By integrating multi-source and multi-temporal data, we developed a 10m-resolution IS extraction approach to map accurate continuous IS in the Lancang-Mekong basin (LMISD). The derived complementary features enable LMISD to outperform existing products in mapping accuracy and detail. Numerically, results show that a large and uneven IS area increase occurs here from 2016 to 2021.

This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.