ICEYE Solutions

Forestry Monitoring

Radar Satellite Imaging Solutions from ICEYE

Contact Sales

Early Detection of Deforestation & Illegal Logging

Get the most recent information on deforestation and illegal logging to take necessary actions for forest protection.  

Receiving accurate information about remote, large forest areas frequently is a challenging task that requires regular employment of remote sensing technologies, such as satellite- or aircraft-based imaging sensors. Frequent data steam is the most effective way to get early alerts on forest degradation, detect wildfires and their location, and see any other changes in tree cover. 


All-Weather & All-Conditions Forestry Monitoring with SAR Satellites

Getting access to  frequent data collected over large forest areas is the key to getting early alerts on illegal activities. Persistent monitoring of forest cover implies active imaging during day and night and in any weather conditions. For the satellites that have an optical imaging sensor this is an impossible task since optical technology delivers data only in sunlit and cloudless circumstances. 

Synthetic Aperture Radar (SAR) satellite is a reliable information source that can monitor forests persistently - thanks to its ability to image the Earth surface independently of cloud cover and sunlight. Radar data enables to detect illegal logging early enough, and provide authorities with a timely alert followed by supportive information, such as logging location and affected area, essential for effective mitigation measures. 



ICEYE Forestry Monitoring Solution Provides

  • Persistent monitoring of large forest areas
  • Delivery of frequently updated information on deforestation, forest degradation and growth 
  • Timely alert on illegal logging with accurate location and measurements of deforested areas
  • Measurement of tree cover losses happened due to wildfires, logging, or illegal activities 
Download Free ICEYE SLC DataSet 1

The dataset features agricultural and urban areas of Brazil and Italy

Download SLC data