Mapping Mangroves and Corals via Satellite and Drone
Mangrove and coral ecosystems are being mapped in real-time using a semi-automated process run entirely in the cloud, using the latest satellite images available, including Sentinel-2 at 10m resolution, calibrated by mobile apps for consistent field data.
Forest Governance Monitoring Mekong
Mobile apps and maps assess forest governance
We are supporting the voices for mekong forests project with forest governance monitoring via interactive maps, mobile apps to empower civil society organisations to take a role in forest governance in Greater Mekong countries (Thailand, Vietnam, Laos, Myanmar, Cambodia)
Rufiji Delta Mangrove Mapping
Tanzania's largest mangrove ecosystem
WWF Space+Science is mapping the mangroves of the Rufiji Delta with satellites, drones, and mobile tech. We have developed an Android mobile app to collect consistent, error-free data, which is combined with 3-d models from drone imagery, scaled to satellite data to assess mangrove extent and condition.
Zambezi Delta Mangroves
Mapping mangroves over decades
Mapping and monitoring mangroves in Mozambique's largest delta over more than 20 years using Landsat imagery to support blue carbon and coastal planning projects. This assessment provided the first ever national mangrove assessment at this temporal and spatial scale.
Supporting Coastal Management in West Africa
WebGIS and Mapping
WWF-Germany is developing GIS portals with analysis and decision support for countries in West Africa, producing online interactive data and maps portal for monitoring and planning in the coastal zone from Mauritania to Benin.
Monitoring Alluvial Gold Mining
Tracking the greatest threat in the Guyana Shield
Gold mining is an increasing threat, particularly inside Europe's - yes, Europe. French Guiana hosts the largest tropical forests of Europe which are increasingly threatened by alluvial gold mining which impacts not only the forests, but river water quality with contamination, which directly affects the communities who depend on these ecosystems.
KAZA Land Cover Mapping and Monitoring
KAZA Impact Monitoring
WWF-Germany is supporting land cover monitoring in the Kavango-Zambezi Transboundary Conservation Area (KAZA TFCA) using big data cloud processing to detect annual changes in savannas and dry forest landscapes.
Conservation Technology Series
the latest technology for conservation
Our aim is to maximize the effectiveness of technology for conservation, ecological research, and citizen science by providing experienced as well as new users with accessible and freely available, peer-edited guidance.
Mapping Forest Biomass with LiDAR
national scale biomass for the DRC
WWF-Germany collected more than 400,000 hectares of airborne LiDAR data to sample the largest forest area in central Africa, creating a national-scale forest carbon map at 1 ha resolution for the Democratic Republic of Congo, to support emissions reduction efforts and sustainable development.
Waterhole mapping and monitoring
tracking wildlife water sources in Africa and Asia
The location and status of water sources is an essential component of terrestrial wildlife habitat quality, connectivity, stability, and drives wildlife movements across the globe. We use various data sources to track water in time and space.
the Global Observation and Biodiversity Information Portal
webGIS is the new way to communicate with geo-spatial data and information, via online interactive portals. Space+Science supports a variety of online accessible data, maps and web applications which can integrate data from anywhere in the world, virtually connected via the web, including mobile devices.
Reducing the impact of marine litter in the form of derelict fishing gear in the Baltic sea
We use webGIS and story maps to assess this transnational initiative, funded by the EU, with participation from Sweden, Estonia, Poland and Germany to determine the impacts and sources of ghost nets and derelict fishing gear.
Virungas Vegetation Mapping
Detailed Vegetation Mapping for gorilla conservation
Sentinel-2 imagery was calibrated with extensive field data to produce a detailed vegetation map for two protected areas in Rwanda and Uganda. Machine learning techniques produced an accurate vegetation map with more than 10 unique classes to support gorilla conservation with accuracies greater than 80%. Mapping was automated in Google Earth Engine.
a new satellite constellation for wildlife conservation
In partnership with Stanford University and University Colorado at Boulder, we are embarking on an ambitious initiative to build and launch a fleet of satellites to tackle illegal wildlife trade and fill important knowledge gaps on animal movements.