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Remote Sensing and Geographic Information Systems Driven Data Analysis

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Hydrological Processes Modelling and Data Analysis

Part of the book series: Water Science and Technology Library ((WSTL,volume 127))

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Abstract

Remote sensing (RS) and Geographic Information Systems (GIS) are routinely used in hydrologic data monitoring, mapping and modelling. This chapter introduces the basic concepts of the RS and GIS. The earth observation satellites and missions, image processing techniques, and spectral indices are discussed. Similarly, the popular GIS spatial and attribute data models are presented. Data sources for hydrology and water resources modelling are highlighted. Besides, a few prevalent commercial and open-source GIS and remote sensing software are enlisted. The chapter includes the RS and GIS applications in flood management, drought monitoring, water quality monitoring and water body mapping.

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Authors and Affiliations

  1. Department of Biological and Agricultural Engineering and Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA

    Vijay P. Singh

  2. Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Rajendra Singh

  3. School of Engineering, University of Guelph, Guelph, ON, Canada

    Pranesh Kumar Paul

  4. Centre for Cryosphere and Climate Change Studies, National Institute of Hydrology, Roorkee, Uttarakhand, India

    Deepak Singh Bisht

  5. Department of Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH, USA

    Srishti Gaur

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  1. Vijay P. Singh
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  2. Rajendra Singh
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  3. Pranesh Kumar Paul
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  4. Deepak Singh Bisht
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  5. Srishti Gaur
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Correspondence to Rajendra Singh .

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Singh, V.P., Singh, R., Paul, P.K., Bisht, D.S., Gaur, S. (2024). Remote Sensing and Geographic Information Systems Driven Data Analysis. In: Hydrological Processes Modelling and Data Analysis. Water Science and Technology Library, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-97-1316-5_4

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