The Land and Agriculture Monitoring Project (LAMP) tool is replicate of the SERVIR SEA’s Cambodia Biophysical Monitoring and Evaluation Dashboard platform and consists of four key components. The default ‘biophysical monitoring’ layer evaluates changes in broad-scale biological productivity using the Enhanced Vegetation Index (EVI), a measure of relative biomass particularly suited to high-biomass areas of the globe, derived from MODIS multispectral data. The other three components are namely, forest monitoring (forest gain/loss, derived from Landsat), crop monitoring with seasonal rice cultivation area in the 11 rice production regions/states in Myanmar, and fire monitoring (hotspots and burned area, derived from MODIS). The user interface leverages the power of Google Earth Engine (GEE), a cloud computing platform that links extensive data archives with substantial processing power. With the continuous time-series feature, the user is able to select a baseline and evaluation period for each of the components as well as an identified area of interest which allows for easy comparisons between ‘before’ and ‘after’ intervention timeframes. The results can be exported in report-style format enabling decision-makers and non-technical users alike to directly use this analysis and information.