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Ecosystem Insights Hub

Accelerating biodiversity and ecosystem monitoring, with High-Resolution satellite imagery, Artificial Intelligence (AI) and in-situ data

Isles of Scilly, CNES 2020, Distribution Airbus DS

Welcome to the Ecosystem Insights Hub

An overview of how we help local organisations integrate VHR satellite imagery, AI, and in-situ data to enhance conservation, the Hub’s purpose, and a navigation guide.

Nepal, Pléiades Neo © Airbus DS 2024

Satellite-based mapping and management of invasive species to support one-horned rhinos in Nepal

Combining high-resolution satellite imagery and ecological data to map invasive Mikania and guide grassland management in a key one-horned rhino stronghold.
Author: ZSL Institute of Zoology

  • Ecosystem management
  • Invasive species

Peru, Pléiades Neo © Airbus DS 2025

Integrating VHR Imagery and GPS collar data to map Andean bear movement and conflict zones

Mapping Andean bear movement and habitat use via high-resolution satellite imagery and GPS data to identify conflict hotspots and guide community-led mitigation.
Authors: Conservación Amazónica & CCF

  • State of species
  • Ecosystem management

Ethiopia, Pléiades Neo © Airbus DS 2024

Enabling Community Coexistence for Critically Endangered Ethiopian Wolves

Mapping human settlement and farmland expansion using AI models and satellite imagery to target community engagement and inform conservation interventions.
Authors: Chulalongkorn University

  • Ecosystem extent
  • Ecosystem management

South Sudan, Pleiades © DS (2024) Distribution Airbus

AI-Powered Habitat Mapping in South Sudan’s Reserves

South Sudan’s first detailed land cover maps—capturing forests, wetlands and deforestation pressures— guiding conservation and community-led protection.
Authors: Fauna and Flora

  • Ecosystem extent

Namibia, Pleiades © DS (2023) Distribution Airbus

Founding Desert Elephant Corridors in Namibia

Combining high-resolution satellite imagery, on-the-ground wildlife tracking sensors and data analysis to map elephant movements and identify key motivators. 
Authors: EHRA & CCF

  • Ecosystem extent
  • Ecosystem connectivity

Thailand, Pleiades © DS (2023) Distribution Airbus

Assessing human impact on elephant habitat in Sai Yok Thailand

Evaluating the anthropogenic impacts on elephant habitats, and classification results of leading machine learning models on Pleiades data.
Author: Asian Institute of Technology

  • Ecosystem management

Loisaba, Kenya Pléiades Neo © Airbus DS 2023

Invasive Species Mapping in Loisaba Conservancy, Kenya

Using VHR satellite imagery and AI to map the invasive Opuntia engelmannii, which threatens the health of ecosystems in Northern Kenya. 
Authors: Loisaba and CCF

  • Invasive species

Nyakweri Forest, Kenya Pléiades Neo © Airbus DS 2023

Fenceline Detection to Protect Giant Pangolins in Nyakweri Forest, Kenya (Study 1)

Identifying habitat degradation, landscape features and linear fences to inform conservation strategies to protect Giant Pangolins in Nyakweri Forest.
Author: Langland Conservation

  • Ecosystem extent
  • Ecosystem Conversion and Restoration

Nyakweri Forest, Kenya Pléiades Neo © Airbus DS 2023

Deforestation Insights for Targeted Restoration of Nyakweri Forest, Kenya (Study 2)

Mapping deforestation trends to identify key drivers of habitat loss and inform targeted reforestation and community conservation efforts to restore landscape connectivity for the Giant Pangolin.
Author: Langland Conservation

  • Ecosystem connectivity
  • Ecosystem Conversion and Restoration

Madikwe, South Africa, Pléiades Neo © Airbus DS 2022

Can AI and Satellite Data modernise wildlife surveys in Africa?

Investigating the feasibility of using artificial intelligence (AI) techniques and satellite images in wildlife surveys.
Authors: Madikwe Future's Company & CCF

  • State of species

Thailand, Pléiades Neo © Airbus DS 2026

Upcoming projects

Discover the exciting new projects now underway from our Round 3 and Round 4 Satellites for Biodiversity Award winners.

  • State of species
  • Ecosystem extent
  • Ecosystem management
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