Remote sensing data is extensively used to gather intel about distant or hard to reach areas, as well as a source of objective information about places of interest. Most applications revolve around governmental control, security, disaster management, insurance, environment and investment supervision
Agricultural land inventory, crop rotation and rational land use, idle lands detection
Crop conditions monitoring (biomass buildup, wetting, seedling evaluation, etc)
Identification of unauthorized occupation and damages of agricultural land
Land-use proceedings support
Unauthorized forest clearing detection, logging areas control and monitoring
Woodland degradation and damage identification and mapping (influence by pests and diseases, dehydration or waterlogging)
Forest ecosystem damage by disasters (active fires, burnt areas, windfalls and etc.)
Inventory and condition assessment of existing and new assets (thematic maps etc)
Additional information support during surveys and construction planning
Monitoring of critical infrastructure conditions and integrity
Dynamic city area vegetation analysis and community landscape evaluation
Application of Earth observation data for complex emergencies forecasting
Near-real time emergency monitoring, precise consequences mapping
Short-term forecasting and modelling of emergencies (floods, wildfires, landslides etc.)
Remote sensing data is actively used to create and update maps with scale up to 1:25000
Monitor activity at operational landfills and recycling facilities
Determine landfill border violations, land and water contaminations, buffer zone breaches
Reclamation activities control and oversight
Glacier dynamics monitoring and forecasting
Sea ice charting
Ice caps melting dynamics
Snow coverage mapping
Mineral resources extraction and transportation infrastructure monitoring and mapping (surface mines, open mines, pits, trailing dumps)
Locating illegal sites of resources extraction
Ecological evaluation of extraction and production facilities
Oil spills detection at extraction points and along transportation infrastructure