A5077646335- Flood Risk Assessment and Management
- Landslides and related hazards
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Hydrological Forecasting Using AI
- Computational Physics and Python Applications
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Climate variability and models
Geological Survey of India
2015-2023
National Centre for Medium Range Weather Forecasting
2020
Abstract The southern Indian state of Kerala experienced exceptionally high rainfall during August 2018, which led to devastating floods in many parts the state. Prediction and early warning severe weather events vulnerable areas is crucial for disaster management agencies order protect life property. In recent years, state‐of‐the‐art numerical prediction (NWP) models have been used operationally predict over different spatial temporal scales. present paper, predictions based on National...
Abstract. Landslide inventories are used for multiple purposes including landscape characterisation and monitoring, landslide susceptibility, hazard risk evaluation. Their quality completeness can depend on the data methods with which they were produced. In this work we evaluate effects of a variable visibility territory to map spatial distribution information collected in different prepared using approaches study area. The method first classifies areas levels from paths (roads) landslides...
India is heavily affected by rainfall-induced landslides that cause fatalities and damage. Therefore, the development of effective reliable models for landslide forecasting their possible integration in early warning systems (LEWSs) necessary to mitigate risk posed such phenomena. Within LANDSLIP (LANDSLIde Multi-Hazard Risk Assessment, Preparedness Early Warning South Asia: Integrating Meteorology, Landscape Society; www.landslip.org) project, we developed threshold-based predict occurrence...
<p>Landslide inventories are used for multiple purposes including landscape characterisation and monitoring, or landslide susceptibility, hazard, risk evaluation. Their quality can depend on the data methods with which they were produced. The poor visibility of territory to investigate offered by point observation from landslides interpreted is not frequently considered as a source error in manually produced inventories. In this work, we present an approach relate spatial...
<p>Forecasting rainfall-induced landslides, whilst challenging, is increasingly important due to the impact these hazards can have on society. The difficulty in forecasting arises from inherent variability of geo-environmental factors and scale at which underlying processes operate. availability data required develop validate thresholds for operational purposes often limited. In regions where (e.g. meteorological, or geotechnical) sparse incomprehensive, it a framework...
Abstract. Landslide inventories are used for multiple purposes including landscape characterisation and monitoring, landslide susceptibility, hazard risk evaluation. Their quality can depend on the data methods with which they were produced. In this work we evaluate effects of a variable visibility territory to map spatial distribution information collected by four prepared using different approaches in two study areas. The method first classifies areas levels from paths (roads) landslides,...