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Multispectral analysis-ready satellite data for three East African mountain ecosystems.

Netra Bhandari1, Lisa Bald2, Luise Wraase2

  • 1Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Deutschhausstrasse 12, 35032, Marburg, Germany. netra.bhandari@geo.uni-marburg.de.

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East African mountain ecosystems threatened by global change now have accessible, cloud-free Sentinel-2 satellite data. This analysis-ready imagery supports crucial research on vegetation, wildlife, and climate change impacts.

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Ecology

Background:

  • East African mountain ecosystems face significant threats from global change, impacting their unique socio-ecological systems.
  • Accessible, processed remote sensing data is crucial for monitoring these environmental changes.
  • Existing satellite data often requires extensive processing due to geometric inaccuracies and cloud cover, hindering reliable analysis.

Purpose of the Study:

  • To provide high-quality, analysis-ready Sentinel-2 satellite imagery for key East African mountain ecosystems.
  • To enable researchers and stakeholders to conduct immediate and impactful environmental monitoring and research.
  • To address the data accessibility and processing challenges for remote sensing in fragile mountain environments.

Main Methods:

  • Acquisition and processing of Sentinel-2 satellite data for Bale Mountains (Ethiopia) and Mounts Kilimanjaro and Meru (Tanzania).
  • Atmospheric correction and cloud masking to ensure data quality and usability.
  • Generation of monthly and annual aggregated data products with 24 spectral indices from 2017-2021.

Main Results:

  • A comprehensive dataset of cloud-free, atmospherically corrected Sentinel-2 imagery was created for the specified East African mountain regions.
  • The dataset spans from 2017 to 2021, offering both monthly and annual aggregated products.
  • Included are 24 distinct spectral indices, enhancing the analytical capabilities of the data.

Conclusions:

  • The developed Sentinel-2 dataset significantly lowers the barrier for research and stakeholder analysis in East African mountain ecosystems.
  • This readily usable data facilitates critical applications such as vegetation mapping, habitat assessment, land cover change detection, and climate change studies.
  • The provision of analysis-ready data is vital for effective monitoring and management of these vulnerable ecosystems under global change.