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Predicting Soil Loss and Sediment Yield in Upper Cauvery Sub-Basin: A GIS-Based Approach
Predicting Soil Loss and Sediment Yield in Upper Cauvery Sub-Basin: A GIS-Based Approach

Soil erosion is a major environmental threat caused by the combined effect of geo-environmental factors and anthropogenic activity, which can undermine the sustainability of land and water resources. Climate change. . .

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Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach
Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach

The frequency of landslides has increased recently due to uneven patterns of weather distribution and climate change. Major landslide predictions are based on rainfall models, and only a few studies. . .

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Dynamic Landslide Early Warning Framework
Dynamic Landslide Early Warning Framework

Use of heterogeneous data sources to produce dynamic risk maps and risk assessment decision support systems to key state and district state disaster management agencies encompassing multi-hazards that are most. . .

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Development of Multi-Hazard Inventory from Heterogeneous Sources
Development of Multi-Hazard Inventory from Heterogeneous Sources

IoT Sensors For hazards such as:  Landslides , Floods , Glaciers , Glacial lake outburst floods , Avalanches Inclusion of hazard sequences and triggering relationships through questionnaires, media reports, PRA,. . .

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Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim

Project 5: Development of an Impact-based Integrated Dynamic Multi-hazard Risk Assessment Framework that is inclusive of: Amrita Team Members: Hari Chandana Ekkirala Name of the International Collaborators : Dr. Giuseppe. . .

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Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach
Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach

The study assesses the post-flood impact on geomorphology and vegetation in the Periyar River basin. It aims to develop a flood prediction model using MIKE-FLOOD and ML, followed by analyzing. . .

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Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle

The project aims at improving the  representation of methane production, removal and transport processes of tropical wetlands in a wetland methane biogeochemical model. It will advance mapping of wetland dynamics. . .

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Evaluating Coastal Salinity Intrusion from Groundwater over-extraction, Coastal Wetland Dynamics and Sea Level Rise using Remote Sensing
Evaluating Coastal Salinity Intrusion from Groundwater over-extraction, Coastal Wetland Dynamics and Sea Level Rise using Remote Sensing

The study aims for a comprehensive analysis of the impact of groundwater extraction, wetland dynamics, and sea level rise on salinity intrusion in coastal aquifers. It will monitor shoreline changes. . .

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Spaceborne Estimation of Groundwater Variability in Northwestern India
Spaceborne Estimation of Groundwater Variability in Northwestern India

The project is estimating quantitative and qualitative deterioration  of the groundwater depletion in northwest India. As a case study we took Kanti village in Haryana and acquired field data through. . .

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