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<p>India's extensive coastline and rich oceanic resources present a unique opportunity to enhance its economy sustainably through the Blue Economy and meet the goals of the United Nations Ocean Decade (2021–2030). Advanced geospatial technologies, remote sensing, Artificial Intelligence/Machine Learning (AI/ML), and analysis-ready data, play pivotal roles in this endeavour and open up niche business development opportunities. This paper explores the integration of state-of-the-art remote sensing sensors and Geographic Information&#xa0;Systems (GIS) tools in advancing India's Blue Economy, highlighting their applications in various maritime activities. The advent of sophisticated satellite sensors has significantly broadened our understanding of oceanic phenomena. Satellite missions, like ISRO’s EOS-06/Oceansat-3, Radar Imaging Satellite EOS-04/RISAT, NASA’s Surface Water and Ocean Topography (SWOT) and PACE missions, along with the European Space Agency's Sentinel series, both optical and microwave systems, are at the forefront of ocean monitoring. For instance, SWOT's capabilities in measuring sea surface height provide invaluable insights into ocean dynamics, which is essential for climate research and water management. Oceansat-3 contributes to our understanding of ocean colour and sea surface wind fields, facilitating the monitoring of marine biological productivity and surface winds vital for weather forecasting and disaster management. These satellites provide critical data that support a range of applications, from safe ship navigation and rip current warnings for beach tourism to the identification of sustainable fishing zones. Additionally, observations from space-borne sensors are instrumental in tracking oil spills, locating marine debris, monitoring coastal zones, and analysing climate change impacts. GIS plays a crucial role in enhancing the utility of the data derived from these sensors by automating the analysis and retrieval of information across large volumes of satellite and model data. This chapter discusses the impact of advanced remote sensing technologies and geospatial and AI/ML tools to develop comprehensive solutions for marine and coastal management. By leveraging these technological advancements, India can not only ensure the sustainable development of its maritime resources but also strengthen its resilience against environmental challenges. This chapter underlines the necessity of embedding advanced remote sensing and GIS capabilities into India's strategic planning for its Blue Economy. Embracing these technologies will enable more informed decision-making, promoting sustainability and enhancing economic value derived from marine ecosystems.</p>

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Remote sensing, geospatial and AI/ML techniques: catalysing growth in India's blue economy

  • 期刊论文

  • 发表日期：

    2025年1月27日

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  • Neeraj Agarwal,
  • Arvind Sahay,
  • Shivani M. Shah,
  • K. N. Babu,
  • Pradeep Kumar Thapliyal,
  • Nitant Dube,
  • Rashmi Sharma,
  • Nilesh M. Desai

摘要

India's extensive coastline and rich oceanic resources present a unique opportunity to enhance its economy sustainably through the Blue Economy and meet the goals of the United Nations Ocean Decade (2021–2030). Advanced geospatial technologies, remote sensing, Artificial Intelligence/Machine Learning (AI/ML), and analysis-ready data, play pivotal roles in this endeavour and open up niche business development opportunities. This paper explores the integration of state-of-the-art remote sensing sensors and Geographic Information Systems (GIS) tools in advancing India's Blue Economy, highlighting their applications in various maritime activities. The advent of sophisticated satellite sensors has significantly broadened our understanding of oceanic phenomena. Satellite missions, like ISRO’s EOS-06/Oceansat-3, Radar Imaging Satellite EOS-04/RISAT, NASA’s Surface Water and Ocean Topography (SWOT) and PACE missions, along with the European Space Agency's Sentinel series, both optical and microwave systems, are at the forefront of ocean monitoring. For instance, SWOT's capabilities in measuring sea surface height provide invaluable insights into ocean dynamics, which is essential for climate research and water management. Oceansat-3 contributes to our understanding of ocean colour and sea surface wind fields, facilitating the monitoring of marine biological productivity and surface winds vital for weather forecasting and disaster management. These satellites provide critical data that support a range of applications, from safe ship navigation and rip current warnings for beach tourism to the identification of sustainable fishing zones. Additionally, observations from space-borne sensors are instrumental in tracking oil spills, locating marine debris, monitoring coastal zones, and analysing climate change impacts. GIS plays a crucial role in enhancing the utility of the data derived from these sensors by automating the analysis and retrieval of information across large volumes of satellite and model data. This chapter discusses the impact of advanced remote sensing technologies and geospatial and AI/ML tools to develop comprehensive solutions for marine and coastal management. By leveraging these technological advancements, India can not only ensure the sustainable development of its maritime resources but also strengthen its resilience against environmental challenges. This chapter underlines the necessity of embedding advanced remote sensing and GIS capabilities into India's strategic planning for its Blue Economy. Embracing these technologies will enable more informed decision-making, promoting sustainability and enhancing economic value derived from marine ecosystems.