EO Capability Benefits
Tree cover mapping using Earth Observation (EO) data and technologies offers a robust and scalable solution for monitoring and analysing forest and non-forest vegetation. It delivers precise, up-to-date information on tree cover extent, density, and distribution, enabling effective assessment of forest resources, ecosystem health, and land-use dynamics. The insights derived from tree cover data are essential for tracking deforestation and reforestation trends, supporting biodiversity conservation, and enhancing climate change mitigation strategies. Additionally, this information is invaluable for sustainable land management, urban planning, and the implementation of policies aimed at preserving and restoring natural habitats.
EO Capability Description
EO capabilities provide a comprehensive and scalable framework for monitoring environmental and land surface dynamics, leveraging a diverse range of freely available satellite data. Central to this framework are the Copernicus Sentinel missions and the Landsat program, which offer a powerful combination of optical and radar sensors for continuous, high-resolution environmental assessment.
The Sentinel-2 mission delivers high-resolution optical imagery, enabling detailed assessments of vegetation health, land cover classification, and ecosystem productivity. Its multispectral bands support the derivation of key vegetation indices, such as NDVI, which are essential for evaluating plant health, biomass, and land-use patterns. The Landsat program further enriches this analysis with its extensive historical archive, facilitating long-term trend assessment and large-scale change detection.
For all-weather, day-and-night monitoring, the Sentinel-1 mission utilises Synthetic Aperture Radar (SAR) technology, ensuring uninterrupted observation regardless of cloud cover or lighting conditions. This capability is particularly valuable for tracking rapid changes, such as deforestation, agricultural expansion, or natural disturbances, and supports timely responses to environmental events.
To enhance precision, Very High Resolution (VHR) imagery plays a critical role in single tree crown delineation and the validation of maps derived from high-resolution sources like Sentinel and Landsat. VHR data provides the fine spatial detail necessary to refine and confirm the accuracy of broader-scale analyses, ensuring robust and reliable results.
Integrating data from Sentinel-1, Sentinel-2, Landsat, and VHR sources, combined with advanced analytical techniques such as time-series analysis, artificial intelligence, and machine learning, enablest the delivery of precise, scalable, and actionable insights. This integrated approach strengthens our ability to monitor ecosystem health, assess land-use dynamics, and support sustainable resource management, climate resilience, and evidence-based decision-making.
