I am a Civil Engineering graduate interested in GIS, Remote Sensing, Water Resources Engineering, Hydrological Analysis, and Environmental Data Analytics.
My work focuses on applying geospatial analysis, satellite remote sensing, GIS-based modelling, and Python-based data analysis to problems related to flooding, coastal environments, water resources, and climate-related hazards.
- Flood Mapping and Flood Risk Assessment
- GIS and Remote Sensing
- Water Resources Engineering
- Hydrological and Coastal Analysis
- Sentinel-1 SAR Applications
- Climate and Environmental Data Analysis
- Spatial Modelling and Geospatial Visualization
1. Sentinel-1 Based Flood Mapping and District-wise Inundation Assessment of Khulna Division, Bangladesh (2024)
A Sentinel-1 SAR and QGIS-based flood mapping project developed to quantify flood extent and district-level inundation across the 10 districts of Khulna Division.
- Total mapped study area: 20,749.63 km²
- Total flooded area: 127.82 km²
- Overall flooded proportion: 0.62%
- Largest flooded area: Satkhira — 37.92 km²
- Second-largest flooded area: Khulna — 36.73 km²
- Highest district-level flooded percentage: Narail — 1.134%
- Sentinel-1 SAR-derived flood extent
- QGIS
- Raster clipping and reprojection
- WGS 84 / UTM Zone 45N
- Raster Unique Values Analysis
- Zonal Statistics
- District-wise flood-area calculation
- Flood-percentage analysis
- Publication-quality GIS mapping
Repository:
https://github.com/sujoybiswas115/Sentinel1-Flood-Mapping-Khulna-2024
A GIS-based multi-criteria flood susceptibility assessment using weighted-overlay analysis to investigate spatial variations in flood risk across Southwest Coastal Bangladesh.
- Elevation analysis
- Slope analysis
- River-proximity assessment
- Rainfall analysis
- Land Use/Land Cover assessment
- Multi-criteria weighted-overlay modelling
- Five-class flood-risk classification
- QGIS
- GDAL
- GRASS GIS
- Raster Calculator
- Spatial Analysis
Repository:
https://github.com/sujoybiswas115/GIS-Flood-Risk-Assessment-Southwest-Bangladesh
A Python-based analysis of long-term coastal water-level variability and extreme water-level events.
- Long-term tidal/water-level analysis
- Annual maximum variability assessment
- Trend and extreme-event analysis
- Seasonal-pattern investigation
- Statistical analysis and visualization
- Python
- Pandas
- NumPy
- Matplotlib
Repository:
https://github.com/sujoybiswas115/coastal-water-level-variability-analysis
- QGIS
- Raster and Vector Analysis
- Spatial Modelling
- Remote Sensing
- Sentinel-1 SAR Processing
- Zonal Statistics
- Cartographic Mapping
- Coordinate Reference System Management
- Python
- Pandas
- NumPy
- Matplotlib
- Excel-based Data Analysis and Visualization
- Flood Mapping
- Flood Risk Assessment
- Hydrological Analysis
- Coastal Water-Level Analysis
- Environmental Spatial Analysis
I am particularly interested in developing reproducible workflows that combine:
Remote Sensing + GIS + Python + Water Resources Engineering
for applications in:
- flood monitoring;
- flood-risk assessment;
- coastal and riverine hazards;
- hydrological variability;
- climate-impact analysis; and
- environmental decision support.
- Expand my research portfolio in GIS and Remote Sensing
- Develop advanced Sentinel-1 flood-monitoring workflows
- Integrate Python with geospatial analysis
- Work with hydrological and climate datasets
- Develop publication-quality research projects
- Apply geospatial methods to practical water-resources problems
GIS: QGIS | GDAL | GRASS GIS
Remote Sensing: Sentinel-1 SAR | Raster Processing
Programming: Python | Pandas | NumPy | Matplotlib
Analysis: Zonal Statistics | Spatial Analysis | Statistical Analysis
Engineering: Water Resources Engineering | Hydrological Analysis
Explore my research and technical projects: