Present chapter investigates the crucial role of different branches of geospatial technologies in addressing global ecological challenges. It identifies several ecological issues, originating from both natural and anthropogenic sources, significantly reduce environmental quality, threaten biodiversity, and impact ecosystem health worldwide. Existing policies are often inadequate to manage and mitigate these problems, making the achievement of sustainable development goals difficult. Present chapter identifies major ecological challenges such as climate change, biodiversity loss, and pollution. Geospatial technology, encompassing GIS, Remote Sensing, and GNSS, is presented as a science and technology for capturing, analyzing, and transforming spatial data which could be used to take data-driven decisions for conservation and sustainable development. It emphasizes the integration of geospatial technology with AI, cloud computing, and big data analysis for real-time monitoring and informed decision-making. This chapter also covers the limitations and future directions for enhancing the application of these technologies in ecological problem-solving.

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Introduction to Geospatial Technologies in Global Ecological Challenges

  • Swagata Ghosh,
  • Mahalingam Bose,
  • Vishwanath B. C.

摘要

Present chapter investigates the crucial role of different branches of geospatial technologies in addressing global ecological challenges. It identifies several ecological issues, originating from both natural and anthropogenic sources, significantly reduce environmental quality, threaten biodiversity, and impact ecosystem health worldwide. Existing policies are often inadequate to manage and mitigate these problems, making the achievement of sustainable development goals difficult. Present chapter identifies major ecological challenges such as climate change, biodiversity loss, and pollution. Geospatial technology, encompassing GIS, Remote Sensing, and GNSS, is presented as a science and technology for capturing, analyzing, and transforming spatial data which could be used to take data-driven decisions for conservation and sustainable development. It emphasizes the integration of geospatial technology with AI, cloud computing, and big data analysis for real-time monitoring and informed decision-making. This chapter also covers the limitations and future directions for enhancing the application of these technologies in ecological problem-solving.