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Modeling and Assessment of Land Degradation Vulnerability in Arid Ecosystem of Rajasthan Using Analytical Hierarchy Process and Geospatial Techniques

Brijesh Kumar Yadav, Lal Chand Malav, Raimundo Jiménez‐Ballesta, Chiranjeev Kumawat, Abhik Patra, A. Patel, Abhishek Jangir, Mahaveer Nogiya, R. L. Meena, Pravash Chandra Moharana, Nirmal Kumar, R. P. Sharma, Lala Ram Yadav LR Yadav, G. P. Obi Reddy, B. L. Mina

2022Land34 citationsDOIOpen Access PDF

Abstract

Wind erosion is a major natural disaster worldwide, and it is a key problem in western Rajasthan in India. The Analytical Hierarchy Process (AHP), the Geographic Information System (GIS), and remote sensing satellite images are effective tools for modeling and risk assessment of land degradation. The present study aimed to assess and model the land degradation vulnerable (LDV) zones based on the AHP and geospatial techniques in the Luni River basin in Rajasthan, India. This study was carried out by examining important thematic layers, such as vegetation parameters (normalized difference vegetation index and land use/land cover), a terrain parameter (slope), climatic parameters (mean annual rainfall and land surface temperature), and soil parameters (soil organic carbon, soil erosion, soil texture, and soil depth), using the Analytical Hierarchical Process (AHP) and geospatial techniques in the Luni River basin in Rajasthan, India. The weights derived for the thematic layers using AHP were as follows: NDVI (0.27) > MAR (0.22) > LST (0.15) > soil erosion (0.12) > slope (0.08) > LULC (0.06) > SOC (0.04) > soil texture (0.03) > soil depth (0.02). The result indicates that nearly 21.4 % of the total area is prone to very high degradation risks; 12.3% is prone to high risks; and 16%, 24.3%, and 26% are prone to moderate, low, and very low risks, respectively. The validation of LDV was carried out using high-resolution Google Earth images and field photographs. Additionally, the Receiver Operating Characteristic (ROC) curve found an area under the curve (AUC) value of 82%, approving the prediction accuracy of the AHP technique in the study area. This study contributes by providing a better understanding of land degradation neutrality and sustainable soil and water management practices in the river basin.

Topics & Concepts

Geospatial analysisThematic mapEnvironmental scienceSoil textureHydrology (agriculture)AridNormalized Difference Vegetation IndexLand degradationLand coverAnalytic hierarchy processDrainage densityGeographic information systemLand useVegetation (pathology)Universal Soil Loss EquationTerrainDrainage basinErosionPhysical geographySoil scienceRemote sensingGeographyCartographySoil waterGeologyGeomorphologyClimate changeMathematicsCivil engineeringEngineeringPaleontologyGeotechnical engineeringOperations researchOceanographyPathologyMedicineSoil lossSoil erosion and sediment transportSoil and Land Suitability AnalysisLand Use and Ecosystem Services
Modeling and Assessment of Land Degradation Vulnerability in Arid Ecosystem of Rajasthan Using Analytical Hierarchy Process and Geospatial Techniques | Litcius