From deforestation to reclamation, automated satellite tool tracks vegetation shifts around mining sites
Researchers at HZDR have developed a satellite-based tool called SHABA to monitor the environmental impact of mining operations globally. The tool uses machine learning to analyze vegetation dynamics, helping to quantify land footprint changes caused by mining.
Why it matters
Improved remote sensing capabilities are essential for enforcing environmental regulations and monitoring the ecological footprint of global metal supply chains.
by Simon Schmitt, Helmholtz Association of German Research Centres
edited by Swati Mestri , reviewed by Robert Egan
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:
Add as preferred source Impact assessment from space: measuring the influence of mining on our planet with Earth observation and machine learning. Credit: HZDR To better assess the spatial extent of mining facilities and their environmental impact, a research team at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has developed a satellite-based remote sensing tool.
SHABA (Seasonal Harmonic Anomaly Break Analysis) is an innovative satellite-based tool for analyzing spatial and temporal vegetation dynamics. SHABA is unique in its ability to factor in seasonal fluctuations and trends to reliably detect and quantify changes in vegetation. The researchers hope that SHABA will help better assess the global environmental impact of mining.
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