Project Abstract

1. Mapping and Analysis of Groundwater Potential Zones using Remote Sensing and GIS Techniques Groundwater is a critical natural resource that plays a vital role in meeting the water demands of various sectors, including agriculture, industry, and domestic usage. Identifying and delineating groundwater potential zones is essential for sustainable water management and efficient utilization of groundwater resources. This project aims to employ remote sensing and geographic information system (GIS) techniques to map and analyze groundwater potential zones in a region of interest. By integrating multi-layered geospatial data, such as geology, geomorphology, land use/land cover, and hydrogeological characteristics, the study will identify and prioritize areas with high groundwater potential. The analysis will involve the application of various modeling techniques, including multi-criteria decision analysis and artificial intelligence algorithms, to produce comprehensive groundwater potential maps. The outcomes of this project will provide valuable insights for groundwater exploration, management, and sustainable utilization, enabling effective water resource planning and management strategies. 2. Landslide Hazard Assessment and Mitigation Strategies using Geospatial Techniques Landslides pose a significant threat to human lives, infrastructure, and socioeconomic development, particularly in mountainous and hilly regions. This project focuses on the assessment and mitigation of landslide hazards using geospatial techniques. By integrating remote sensing data, topographic information, and other relevant environmental factors, the study will develop a comprehensive landslide hazard assessment model. The model will analyze the spatial distribution, frequency, and susceptibility of landslides in the targeted area. Additionally, the project will explore the implementation of geospatial-based early warning systems and the identification of suitable mitigation strategies, such as slope stabilization techniques and land-use planning recommendations. The outcomes of this research will contribute to enhancing the resilience of communities and infrastructure to landslide risks, thereby supporting sustainable development and disaster risk reduction efforts. 3. Spatial Distribution and Characterization of Soil Erosion Patterns using GIS and RUSLE Model Soil erosion is a widespread environmental problem that can lead to the degradation of land resources, reduced agricultural productivity, and increased sediment loading in water bodies. This project aims to understand the spatial distribution and characteristics of soil erosion patterns using geographic information system (GIS) and the Revised Universal Soil Loss Equation (RUSLE) model. By integrating various spatial datasets, including topography, land use/land cover, soil properties, and rainfall patterns, the study will quantify and map the soil erosion rates across the study area. The RUSLE model will be employed to estimate the factors contributing to soil erosion, such as rainfall erosivity, soil erodibility, slope length and steepness, and vegetation cover. The resulting soil erosion maps will provide valuable information for land management, conservation planning, and the implementation of appropriate soil erosion control measures. The project's findings will contribute to the sustainable management of land resources and the protection of ecosystems from the adverse impacts of soil erosion. 4. Geospatial Approach for Mapping and Monitoring of Coastal Ecosystem Dynamics Coastal ecosystems are dynamic and vulnerable to various natural and anthropogenic pressures, including sea-level rise, coastal erosion, habitat degradation, and human-induced changes. This project aims to employ a geospatial approach to map and monitor the dynamics of coastal ecosystems. The study will utilize a combination of satellite remote sensing data, geographic information system (GIS) tools, and field-based observations to assess the spatio-temporal changes in coastal habitats, such as mangroves, salt marshes, and coral reefs. The project will also investigate the factors influencing these changes, including climate-related impacts, land-use modifications, and anthropogenic activities. The resulting maps and analytical outputs will support the development of effective coastal zone management strategies, habitat conservation plans, and informed decision-making processes. This project will contribute to the sustainable management and conservation of coastal ecosystems, ensuring their resilience and the provision of essential ecosystem services.

Project Overview