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  • 1
    Publication Date: 2022
    Description: 〈p〉〈em〉Around the world, disasters are becoming a growing concern. Natural disasters like floods, earthquakes, severe storms and tropical cyclones, droughts, wild land fires, and man-made disasters like hurricanes and tornadoes have damaged the environment as well as destroyed economic and social infrastructure over the previous five decades. The Geographical Information System and Remote Sensing have been used as potential tools for disaster management and monitoring, particularly in the pre, during, and post-disaster stages. Utilizing electromagnetic radiation (EMR) wavelengths and sensors, multi-temporal spatial information can be obtained to simulate the disaster's nature in GIS which can aid to identify and predict the probability of upcoming disasters. For microclimate analysis and damage detection during large-scale natural disasters, the satellite covers a larger area than any other platform. Remote sensing technology for disaster management tasks has been broadened by compact aerial drones. UAVs can be utilitarian for mapping features of disaster impacted related in urban areas in real time.〈/em〉〈/p〉
    Print ISSN: 2321-421X
    Electronic ISSN: 2230-7990
    Topics: Geography , Geosciences
    Published by STM Journals
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  • 2
    Publication Date: 2024
    Description: 〈p〉〈em〉One of the most crucial global issues of our era is climate change, whose consequences are presently being felt all over the world. As climate change keeps on forgoing, it's important that governments, organizations, and businesses take visionary actions for adapting and protecting themselves from calamities.〈/em〉〈em〉 This paper summarizes the application of Remote Sensing (RS) and 〈/em〉〈em〉Geographic Information System (〈/em〉〈em〉GIS) in observing impact of climate change on drought, soil moisture, land degradation, food security, EHIs’ characterization and blue carbon science and review of AI based climate solutions. The〈/em〉〈em〉 〈/em〉〈em〉integration of advanced machine learning algorithms,〈/em〉〈em〉 〈/em〉〈em〉real-time data analysis, and other cutting-edge technologies could lead to even more effective climate change〈/em〉〈em〉 〈/em〉〈em〉adaptation strategies. AI-activated climate change adaptation strategies have the prospective to significantly〈/em〉〈em〉 〈/em〉〈em〉improve the resilience of infrastructure communities, and businesses to the changing climate.〈/em〉〈strong〉〈/strong〉〈/p〉
    Print ISSN: 2321-421X
    Electronic ISSN: 2230-7990
    Topics: Geography , Geosciences
    Published by STM Journals
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
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