Satellite Images for Forest and Land Cover Restoration

Mapping and Monitoring for Reporting and Sustainable Development

South East Cameroon

Sentinel-1 SAR polarimetric color composite of an crop area near New Amsterdam city (yellow: forest/dense woody vegetation; dark blue: water/humid soil; shades of brown: crop fields; very bright blue: settlements)

Land Use / Land cover view, North East of Guyana, Sentinel-1, IW mode, GRD level, 20 m spatial resolution, VH polarisation, 2017

Identify

Mapping of large, hardly accessible areas with various types of satellite data to better know your landscape

Monitor

Monitoring using benefit from accessibility to multi-sensor satellite archives using machine learning algorithms for automatic pattern recognition (classification) and for time series analysis for change detection

Learn

Learn how to map your forest and restore your land cover using open source tools and taking benefit of High Performance Computing technologies (Cloud Computing)

 

 

 

The role of monitoring of Forest and Land Cover is essential…

  • to provide evidence and communicate about Land Cover Restoration projects (e.g. in the context of Land Degradation Neutrality, SDG Goal 15.3.1)
  • to support adopting sustainable land cover management and decision making
  • to report about the Land Cover and Land Cover Change in Climate Change mitigations context (UNFCCC REDD+ “Reduction of Emissions from Deforestation and Degradation” mechanism)

Forest logging activities detection

Sentinel-1 Radar (SAR) satellite image – Guyana Road detection of forest logging concession is vital for forest concession management and reporting transparency for sustainable management certification.

Sentinel-1 Radar (SAR) satellite image – Guyana: forest concession monitoring

Gold mining identification

SAR can help to identify legal or illegal mining activities.

Gold mining identification using Sentinel-1 Radar (SAR) satellite image – Guyana

Forest and Land Cover mapping

In combination with optical Sentinel-2 and Landsat satellite images we can support you with the creation of actual and high resolution forest and land use / land cover maps.

Optical Sentinel-2 image false color composite, 10m spatial resolution over Papua new Guinea