Water level monitoring for reservoirs supplying Ranchi and their fluctuations
  • Predicted future streamflow under SSP245/SSP585 scenarios using 40 years of streamflow data. Estimated discharge in ungauged rivers using SWOT-derived variables. Analysed trends in Subarnarekha River basin discharge in 1981–2020 data. https://doi.org/10.1016/j.commatsci.2022.111280
  • Monitored reservoir water levels using SAR SLC images processed into InSAR to analyze surface displacement in Ranchi. (Work in Progress)

Groundwater contamination assessment in regions of Garhwa

Predicted groundwater levels using Satellite Data combined with spatial features in ML models for visualization and mapping.

Impact of climate on natural vegetation
  • Computed SPI using CHIRPS rainfall (2003–2023), clustered drought zones via GMM, and forecasted SPI using LSTM (RMSE 0.08–0.095).
  • Developed a stacked ensemble model using 11 spatial variables (2001–2020) for forest fire risk mapping. https://doi.org/10.1109/InGARSS61818.2024.10984146
  • Acquired FLDAS2 NOAH-MP GDAS Central Asia Daily Land Surface Model data for measuring various Hydro-Meteorological parameters, for the Jharkhand state from 2000 to 2024. (Data Acquired)

Agricultural land suitability & vulnerability for farming areas

Includes time-series data such as meteorological variables (temperature, rainfall, humidity) and crop production details (crop types, yield, growth stages) gathered over different periods to understand climatic impacts on agriculture. (Work in Progress)

Traffic network monitoring system for Ranchi

Development and Training of a Haar-Cascade Classifier for Vehicle Detection Utilizing Traffic Scene Images from the DATAS 2022 (India) Dataset. (Work in Progress)

Underground fire and its spread in the Jharia area of Dhanbad district

Analysis of Land Surface Temperature using LANDSAT thermal imagery for disaster risk zoning and identification of vulnerable hotspots. (Work in Progress)

Thunderstorm and lighting prediction in the area of Singhbhum

Analyzed Lightening Imaging Sensor data (2017–2022) using Machine Learning for spatial zoning. Temporal Analysis: Categorized lightning events into time slots to identify high-risk districts and patterns.

The correlation of physical parameters like temperature, humidity, etc. in the factory areas of Jamshedpur.
  • Predicted future streamflow under SSP245/SSP585 scenarios using 40 years of streamflow data. Estimated discharge in ungauged rivers using SWOT-derived variables. Analysed trends in Subarnarekha River basin discharge in 1981–2020 data. https://doi.org/10.1016/j.commatsci.2022.111280

  • Monitored reservoir water levels using SAR SLC images processed into InSAR to analyze surface displacement in Ranchi. (Work in Progress)