Remotely Sensed Rivers in the Age of Anthropocene

Remotely Sensed Rivers in the Age of Anthropocene, ed. Pal, Subodh Chandra, Chatterjee, Uday, Setiawati, Martiwi Diah and Ruidas, Dipankar (Cham: Springer Cham, 2025).

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  • Editor Pal, Subodh Chandra
    Chatterjee, Uday
    Setiawati, Martiwi Diah
    Ruidas, Dipankar
    Title Remotely Sensed Rivers in the Age of Anthropocene
    Series Title Environmental Science and Engineering
    Publication Date 2025-03-31
    Place of Publication Cham
    Publisher Springer Cham
    Edition First Edition
    Pages XXVII, 657
    Language eng
    Abstract This book offers a geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, and visualization, as well as management strategies in many elements of river basin risks. This book investigates cutting-edge techniques based on open source software and R statistical programming Google Earth Engine and modeling in modern artificial intelligence techniques, with a particular emphasis on recent trends in data mining techniques and robust modeling in river basin management. It includes significant issues such as geomorphological hazards, climate change, catastrophic natural disasters, meteorological and agricultural drought monitoring, landslides or mudslides (mudflow), floods and flash floods, soil erosion, and land degradation. This book's contents are of interest to earth and environmental scientists, professionals, and policymakers. The book examines spatial modeling, risk evaluation of a drainage basin in the domain of environmental and social issues, management, and associated research. Due to poorly understood climate change and unclear man-made activity, there are several problems and uncertainties in studying earth's environmental circumstances, making it exceedingly difficult to analyze and make knowledgeable judgments. Many difficulties, on the other hand, are caused by mismanagement of present and future land, water, and forestry resources. It is also critical to use new technology and methods to improve and reinforce environmental protection. The link between the three devices, namely remote sensing (RS), GIS, and the R programming interface, is acknowledged in this respect. Land conservation measures, soil and water quality control, and new rules should all rely on correct measurements and predictions, and three technologies (RS, GIS, and R) and open access quantitative forecasting methodologies help with climate change and better management regulations. Nonetheless, this book serves as a feasible framework for studying current breakthroughs in geospatial artificial intelligence technologies and their relevance to the planet's environmental and socioeconomic concerns in a single volume.
    UNBIS Thesaurus GEOMORPHOLOGY
    COMPUTER SIMULATION
    REMOTE SENSING
    RIVER BASINS
    FLOODS
    Copyright Holder Springer Cham
    Copyright Year 2025
    Copyright type All rights reserved
    ISBN 9783031823114
    9783031823107
    9783031823138
    DOI https://doi.org/10.1007/978-3-031-82311-4
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    Created: Tue, 22 Apr 2025, 19:14:28 JST by Hanna Takemoto on behalf of UNU IAS