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Item Prioritisation of watersheds using TOPSIS and VIKOR method(SPIE spie@spie.org, 2019) Makhdumi, W.; Dwarakish, G.S.Watershed management has become a necessity for the optimum use and sustainability of natural resources. Prioritisation is done to identify and rank the different watersheds in a catchment based on multiple parameters which play a role in the land and water degradation, using various multi-attribute decision-making methods (MADM). In the present study two MADM methods namely, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR), which are based on the measure of 'closeness to ideal' were used for the prioritisation of Netravati catchment, Karnataka, India. The catchment is having an area of 3415 sq. km., and was divided into six watersheds (NET01, NET02, NET03, NET04, NET05 and NET07), using Survey of India (SOI) toposheets (1:50000) and ALOS PALSAR DEM (12.5m). Morphometric analysis was carried for each watershed. Twelve parameters related to linear, aerial and relief aspects, were considered for ranking of the watershed using the TOPSIS and the VIKOR method individually. Watersheds NET04, NET05 and NET02 were assigned ranks 1, 2 and 3 from the TOPSIS method with closeness to ideal solution values 0.6476, 0.5983 and 0.5805 respectively. Similarly, based on the VIKOR method, watersheds NET03, NET04 and NET05 were ranked 1, 2 and 3 with Q values 1, 0.9632 and 0.8176 respectively. Watershed NET07, which is on the downstream of the catchment attained the least rank from both the methods. Also, the watersheds were further characterised in three categories, based on risk erodibility using the Jenks natural breaks GIS-Classification. The watersheds with a higher risk of erodibility should be given preference for the implementation of soil and water conservation methods in the study area, and thus watersheds were prioritised accordingly. © 2019 SPIE. Downloading of the abstract is permitted for personal use only.Item Geospatial Techniques for Soil Erosion-Based Watershed Prioritisation: A Review(Springer Science and Business Media Deutschland GmbH, 2025) Makhdumi, W.; Suragamallika, R.; Shwetha, H.R.; Dwarakish, G.S.The degradation of the environment caused by anthropogenic has raised significant concerns about the sustainability of land, water, and energy resources. It is crucial to acknowledge the unique characteristics of each watershed and the variability in the impact of human and natural activities across regions. Soil erosion emerges as a major threat, which leads to degraded soil, reduced agricultural productivity, and water pollution. Effective watershed management is essential for preventing soil erosion and ensuring the sustainability of resources. A fundamental step in effective watershed management involves evaluating and identifying the most severely impacted sub-watersheds. This study focuses on soil erosion-based prioritisation studies in India, examining their main findings, models, and methodologies. Geospatial techniques, which include Remote Sensing (RS) and Geographic Information System (GIS), have proven effective for mapping and assessing soil erosion at different scales. These methods identify erosion-causing factors, including land use, slope, rainfall intensity, and soil characteristics. By integrating geospatial data, accurate assessments of soil erosion vulnerability can be made, supporting informed decision-making. Multi-Criteria Decision Analysis (MCDA) helps in prioritisation by evaluating multiple soil erosion criteria and assigning weights based on their relative importance. Geospatial tools facilitate comprehensive assessments of soil erosion vulnerability, aiding decision-making processes. The review offers insights for researchers to conduct reliable assessments and generate data on soil erosion. Integrating Land Use Land Cover Changes (LULCC) and socio-economic conditions in prioritisation studies is recommended. This paper can assist researchers generate reliable data on soil erosion, enabling policymakers to make informed decisions regarding adaptation and mitigation strategies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.