Problem Statement

Biodiversity loss is one of the most pressing environmental issues worldwide, driven by habitat destruction, deforestation, climate change, urbanization, and illegal activities such as poaching and logging. The World Economic Forum estimates that failure to halt biodiversity loss could cost the global economy $10 trillion per annum. Conservation efforts often struggle due to limited resources, incomplete data, and insufficient monitoring of critical habitats and biodiversity hotspots. Traditional field-based methods of data collection, while effective in localized contexts, are labor-intensive, expensive, and unable to provide the broad-scale, continuous coverage required for global biodiversity monitoring. Moreover, delays in detecting environmental changes or threats hinder timely conservation interventions, exacerbating biodiversity loss and ecosystem degradation. 

How EO Can Help

By leveraging EO data, governments, conservation organizations, and researchers can gain invaluable insights into the state of biodiversity across vast regions, helping to make more informed decisions that support long-term sustainability and ecosystem health.

• Monitoring Habitat Health: Satellite imagery provides a detailed and cost-effective way to monitor ecosystems across vast and inaccessible regions. Optical sensors like Sentinel-2 and Landsat detect changes in vegetation health, land cover, and habitat fragmentation using indices such as Normalized Difference Vegetation Index (NDVI). Synthetic Aperture Radar (SAR) from Sentinel-1 complements this by mapping structural features such as forest biomass and canopy density, even under clouds or at night. For aquatic ecosystems, satellites including MODIS identify water quality metrics such as turbidity and chlorophyll levels, crucial for monitoring habitats like wetlands, coral reefs, and mangroves.

• Mapping Species Distributions: EO supports species distribution modeling by supplying key environmental data—such as vegetation type, water availability, and temperature—essential for habitat suitability analysis. For instance, SAR tracks changes in wetland areas, while ocean color sensors like those on Sentinel-3 provide sea surface temperature and chlorophyll concentrations to identify marine biodiversity hotspots.

• Detecting Environmental Stressors: EO is instrumental in identifying habitat degradation and stresses on those habitats such as  deforestation, wildfires, drought and pollution. Time-series analysis of optical imagery reveals deforestation trends, while thermal sensors detect heat stress in ecosystems, such as coral bleaching or wildfire hotspots. Hyperspectral data can also track algal blooms and oil spills, allowing rapid responses to aquatic ecosystem threats.

• Monitoring Invasive Species: EO helps monitor the spread of invasive species by identifying their impacts on vegetation and habitat structure. Optical imagery via spectral indices can map invasive plant growth, such as water hyacinths in freshwater systems that can reduce water flow and cause silting, while radar data reveals landscape alterations caused by invasive fauna.

• Enhancing Conservation Efforts: Satellite data supports conservation by providing continuous monitoring of protected areas, restoration projects, and illegal activities like logging or encroachment. For example, SAR has been used to assess the success of programmes designed to restore mangroves by tracking vegetation regrowth over time. Integrating EO with ground-based surveys and citizen science (participatory) platforms ensures actionable insights for ecologists and decision-makers.

• Establishing a Price Premium for Ecocredits: Accurate attribution of biodiversity changes to specific actions or events is crucial for effective conservation management. EO facilitates this by providing objective, verifiable data on habitat alterations and species distributions. This capability is foundational for emerging financial instruments such as biodiversity credits, which are designed to help incentivize conservation efforts by quantifying and monetizing positive biodiversity outcomes. These credits allow private entities to invest in conservation projects, with returns linked to measurable ecological benefits. However, the success of such markets hinges on robust monitoring frameworks to ensure transparency and accountability.

Case Study: Combining Citizen Science and AI to Restore Surrey's Habitats

The county of Surrey in the United Kingdom faces a critical biodiversity challenge, with nearly 12% of its native wildlife already lost and many species under threat, particularly due to the decline of semi-natural habitats like heathlands, chalk grasslands, and neutral and acid grasslands. Space4Nature addresses this by integrating ecological surveys from citizen science led by the Surrey Wildlife Trust with advanced remote sensing technologies and machine learning techniques by the Centre for Environment and Sustainability (CES) at the University of Surrey to monitor and map Surrey’s key habitats. High-resolution habitat maps produced by EO technologies support targeted conservation actions, enabling organizations like Buglife to restore over 100 hectares of critical pollinator habitats. The project focuses on Citizen Science volunteers collecting key ecological survey data from 1 m sq quadrants at test sites across Surrey that include Surrey Wildlife Trust nature reserves and open grassland areas at Painshill Park. Since 2022, these surveys, conducted in collaboration with Surrey Wildlife Trust and Buglife, have provided invaluable ground-level insights for calibrating and validating remote sensing approaches. Using high-resolution PlanetScope imagery and machine learning techniques like Random Forest, Space4Nature predicts and maps key habitats with exceptional accuracy. The project also employs supervised classification methods to enhance habitat mapping capabilities, successfully classifying habitats across Surrey County at a 3m resolution using the UK Habitat Classification system. These classifications, cross-referenced with field data and existing habitat inventories, result in a comprehensive and accurate map of the region's biodiversity.

This initiative is supported by the players of the  People’s Postcode Lottery and awarded funds from the Postcode Dream Fund and the Garfield Weston Foundation It is being conducted by CES at the University of Surrey in partnership with the Surrey Wildlife Trust, Buglife, and the Painshill Park Trust.