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Different Approaches on Digital Mapping of Soil-Landscape Parameters

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Digital Mapping of Soil Landscape Parameters

Part of the book series: Studies in Big Data ((SBD,volume 72))

Abstract

In soil-landscape parameters mapping, the implementation of geomatics-GIS, GPS, remote sensing, and DEM, suggests new alternatives. Different approaches have been applied for retrieval of soil-landscape parameters. In recent years, machine learning algorithms have received increasing attention for digital mapping.

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Authors and Affiliations

  1. Geomatics Section, Civil Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Pradeep Kumar Garg & Rahul Dev Garg

  2. Surveying and Geomatics Section, Civil Engineering Department, Maharishi Markandeshwar University, Ambala, Haryana, India

    Gaurav Shukla

  3. Indian Institute of Remote Sensing (IIRS), Dehradun, Uttarakhand, India

    Hari Shanker Srivastava

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Garg, P.K., Garg, R.D., Shukla, G., Srivastava, H.S. (2020). Different Approaches on Digital Mapping of Soil-Landscape Parameters. In: Digital Mapping of Soil Landscape Parameters. Studies in Big Data, vol 72. Springer, Singapore. https://doi.org/10.1007/978-981-15-3238-2_2

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