SkyMap Global uses Machine Learning algorithms to generate clusters of pixels having close association for forest spatial extent mapping and acreage estimation. This is further supported by information from collateral sources and the observations made during ground truthing.
Efficient and sustainable management of forest resources calls for assessment of quality and quantity. The density mapping is undertaken only in reserve forest areas. The density is categorized based on percentage of crown cover. SkyMap GLobal used indices model for forest type and density estimation in forest studies
SkyMap Global uses very high resolution satellite image to generate timely and accurate information on very short repetitive cycle which is very useful for forest monitoring.