The Architecture of Land Degradation Early Warning Based on Earth Observation

Early detection and prevention of natural and anthropogenic degradation processes are especially relevant. This paper proposes a suitable architecture of a cloud-based early warning system for assessing land degradation based on satellite Earth observation and other necessary geospatial data. The early warning system is based on efficient methods for the time series of land degradation indicators fusion and algorithms for land degradation risk assessment. Earth observation data includes multispectral and radar satellite imagery and derived data products. Ground-truth data construct auxiliary data in concert with topographic., geoclimatic., cadastral., socioeconomic., and other statistical data. The use of the ArcGIS Online Portal is suggested for the processing of heterogeneous geospatial data. As a result., the authors intend to build a general knowledge-based model for assessing and predicting land degradation.