Dr. Parmanand Kumar Profile

Dr. Parmanand Kumar

at Forest Research Institute

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Publications (2)

Proceedings Article | 26 October 2022 Presentation + Paper

Assessment of landslide susceptibility in Garhwal Himalayas using random forest model

Ranjeet Singh, Parmanand Kumar

Proceedings Volume 12268, 122680Q (2022) https://doi.org/10.1117/12.2636175

KEYWORDS: Landslide (networking), Vegetation, Roads, Performance modeling, Statistical modeling, Raster graphics, Data modeling, Climatology, Systems modeling, Geology

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Proceedings Article | 10 October 2018 Paper

Remote sensing for assessing soil erosion susceptibility of the lesser Himalayan watershed by Multi Criteria Analysis (MCA) of morphometry, hypsometry, and land cover

Shachi Pandey, Parmanand Kumar, Vijendra Pal Panwar

Proceedings Volume 10783, 1078327 (2018) https://doi.org/10.1117/12.2325313

KEYWORDS: Soil science, Remote sensing, Geographic information systems, Floods, Radon, Satellites, Vegetation, Ecosystems

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Soil erosion is one of the most implicit hazards as it degrades quality of water as well as soil in watershed. Lesser Himalayan region is highly susceptible to natural hazards particularly which are instigated by action and movement of water such as soil erosion, flood and mass movements. Hilly watersheds with diversified land uses and fragile ecosystem are responsible for accelerating soil erosion. Satellite based remote sensing data has been used in this study to demonstrate its utilisation in analysing soil erosion susceptible areas in Tons river watershed (India). In this study an attempt is made to understand interrelationship and role of morphometry, hypsometry and land cover together as coupled criteria in soil erosion. Remote sensing data and Multi-Criteria Analytical (MCA) framework has been used to estimate soil erosion susceptibility of sub watersheds of Tons river basin. The watershed was delineated using ArcGIS to generate the natural drainage network and stream orders were defined using Strahler’s method in hydrology tool. Land cover was classified using Forest Survey of India (FSI) forest cover map and ASTER Digital Elevation Model (30m) for calculating morphometric parameters and hypsometric integral for further analysing geological stage with the help of ArcGIS 10.3. Soil erosion susceptibility maps were generated for sub watersheds for each criterion and also for coupled criteria. Outcomes indicated that sub watershed with more vegetation cover and mature geological stage is least prone to erosion. It can be inferred from results that morphometry, land cover and hypsometry all together as coupled criteria can be better indicator for assessing soil susceptibility rather than any single criteria. Also, the study suggested that remote sensing can be one of the most competent tools with lots of scopes to study watershed management and can help efficiently in decision making for formulation of conservation strategies, it is implementation and monitoring.

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