We use data from a variety of sensors and sources to generate land classification maps. These maps provide a range of environmental descriptors based on the Land Cover Classification System (LCCS) developed by the Food and Agriculture Organisation (FAO) of the United Nations and can be a valuable resource in tracking land use change over time.

The size and scale of the area to be classified determines which data sources are used. We will typically use a combination of data from two or more sensors, including (but not limited to) Synthetic Aperture Radar data from Sentinel-1, optical imagery from the multispectral imager onboard Sentinel-2, hyperspectral and LIDAR imagery from airborne platforms, and high-resolution data from commercial satellite operators where appropriate.

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