About the Service
Agriculture remains central to the Philippine economy, employing roughly a quarter of the national workforce and supporting rural livelihoods across the archipelago. The CopPhil Crop Mapping Service addresses this need by using Sen4Stat data, processed through an automated workflow, to produce detailed maps showing both the overall extent of agricultural land and the distribution of crop types, including rice, maize, and sugarcane, across a given area.
The service integrates satellite observations with in situ field data collected by institutions such as the Department of Agriculture’s Bureau of Soils and Water Management. A machine-learning approach allows reliable classifications to be generated even where ground-level reference data is limited, making the service well suited to the varied and geographically dispersed agricultural landscapes of the Philippines. The resulting products support food security monitoring, agricultural planning, and post-disaster impact assessments at national scale.
Seasonal Crop Type map
The Seasonal Crop Type Map identifies and displays the spatial distribution of specific crop types across a monitored area. Generated using a machine learning algorithm trained on Copernicus Sentinel data, the map provides users with a spatially explicit picture of what is being grown and where, supporting agricultural planning, resource allocation, and the monitoring of food security over time.
