Advanced Geospatial Intelligence and AI for Environmental Resilience and Sustainable Development

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This edited volume brings together leading experts and researchers from diverse disciplines to provide insights into how geospatial data and AI technologies can be leveraged to tackle pressing environmental issues, ranging from climate change mitigation to natural resource management. By combining geospatial analysis with AI algorithms such as machine learning and deep learning, the book showcases...
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This edited volume brings together leading experts and researchers from diverse disciplines to provide insights into how geospatial data and AI technologies can be leveraged to tackle pressing environmental issues, ranging from climate change mitigation to natural resource management. By combining geospatial analysis with AI algorithms such as machine learning and deep learning, the book showcases...
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  • Formats: pdf
  • ISBN: 9783032037145
  • Publication Date: 8 Jan 2026
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM