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Unveiling Spatial Variation in Salt Affected Soil of Gautam Buddha Nagar District Based on Remote Sensing Indicators Cover

Unveiling Spatial Variation in Salt Affected Soil of Gautam Buddha Nagar District Based on Remote Sensing Indicators

Journal of Landscape Ecology
Volume 13 (2020): Issue 1 (May 2020)
By: Shivangi S. Somvanshi,  Phool Kunwar,  Walter Timo De Vries,  Maya Kumari and  Syed Zubair  
Open Access
|May 2020

Authors

Shivangi S. Somvanshi

Amity Institute of Environmental Sciences, Amity University, Noida, India

Phool Kunwar

Remote Sensing Application Centre – Uttar Pradesh, Lucknow, India

Walter Timo De Vries

Department of Civil, Geo and Environmental Engineering, Technische Universitat Munchen, Germany

Maya Kumari

maya.84s@gmail.com

Amity School of Natural Resources and Sustainable Development, Amity University, Noida, India

Syed Zubair

Department of Civil Engineering, Amity School of Engineering and Technology, Amity University, Noida, India
DOI: https://doi.org/10.2478/jlecol-2020-0005 | Journal eISSN: 1805-4196 | Journal ISSN: 1803-2427
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Language: English
Page range: 61 - 84
Submitted on: Jan 9, 2020
Accepted on: Apr 2, 2020
Published on: May 26, 2020
Published by: Czech Society for Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Soil quality parameters,
Landsat OLI & TIRS,
Correlation,
Artificial Neural Network (ANN),
Multiple Linear Regression (MLR),
Analytical Hierarchy Process (AHP) and Weighted Index Overlay (WIO)
Related subjects:
Geosciences,
Geosciences, other,
Life sciences,
Ecology

© 2020 Shivangi S. Somvanshi, Phool Kunwar, Walter Timo De Vries, Maya Kumari, Syed Zubair, published by Czech Society for Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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