Ecosystem Restoration

Better understand mapping and monitoring of large, hard-to-reach areas through the use of satellite data.


Ecosystem restoration refers to the restoration of degraded, damaged, or destroyed ecosystems and is of key importance for several reasons. First, it contributes decisively to biodiversity conservation. Many ecosystems are home to a variety of plant and animal species, and their restoration can protect numerous species from extinction. They also play a crucial role in combating climate change. Forests, wetlands and other ecosystems store enormous amounts of CO₂ and act as carbon sinks. In addition, healthy ecosystems provide economic benefits by providing services such as clean water, food, and raw materials, and by helping to increase tourism and fisheries. At the same time, natural landscapes are often closely associated with cultural and spiritual values and serve as recreational spaces. Mangroves, coral reefs and dune systems, for example, provide natural protection against storm surges, tsunamis and erosion. Finally, ecosystems are essential for regulating water and nutrient cycles. Thus, ecosystem restoration is not only a significant step in conservation, but also essential to ensure ecological balance and human well-being.

In this context, the use of remote sensing data is essential as it provides large-scale, recurrent, and objective information on ecosystem health and change. They enable real-time monitoring of restoration efforts even in remote areas, help identify degraded areas, and assist in planning targeted restoration interventions.


During the project period, which runs from 2019 to 2021, the following services could be provided:

  • Project conception using a design thinking approach and stakeholder participation in workshops on 3 continents
  • Development of a web-based geographic information system
  • Development of an API to be able to load remote sensing data into the application automatically
  • Development of a geoprocessing engine that enables dynamic computation of remotely sensed data in real time
  • Project, test and quality management

The HERMOSA platform

European Space Agency (ESA)


The use of satellite data allows mapping and monitoring of large, hard-to-reach areas to better understand landscapes. Machine learning algorithms enable automatic detection of patterns and changes. Open source tools and high performance computing technologies support forest mapping and land cover restoration. Monitoring forest cover and land cover is critical to provide evidence and report on land cover restoration projects, e.g., in the context of land degradation neutrality and SDG target 15.3.1. It also supports sustainable management and decision-making related to climate change reporting.
The use of Sentinel-1 radar (SAR) data enables detection of forest activity and is essential for forest concession management and reporting transparency for sustainable management certification. SAR can also help identify mining activities such as gold mines.
With Sentinel-2 and Landsat optical satellite imagery, we can help you create up-to-date, high-resolution forest and land use maps.

HERMOSA was implemented in cooperation with our partner company terrestris.