This category contains introductory text about GIS data such as types of error in GIS datasets, types of GIS data (raster and vector), and metadata. Find resources to finding GIS data and where to download data.
Researchers at the University of Turku have a developed a method of modeling tree species distribution in Peruvian lowland Amazonia using satellite imagery and machine learning techniques in order to produce higher resolution habitat suitability maps.
The Deep Learning-based Hurricane Intensity Estimator is an experimental portal that uses machine learning techniques to analyze spatial patterns in infrared satellite imagery in order to predict tropical cyclone intensity.
Tools and applications such as NASA’s Land, Atmosphere Near Real-time Capability for EOS (LANCE) program and EarthNow, a space imaging startup, are paving the way towards real-time and near real-time satellite data.