Environmental & Hydrology Projects

Selected GIS and remote sensing projects focusing on environmental analysis, hydrology, and climate-related studies.

CSA Zone Map - Maha Season

Climate-Smart Agricultural Zone Delineation

Anuradhapura District, Sri Lanka

Geospatial delineation of climate-smart agricultural zones using multi-temporal remote sensing indices and GIS-based multi-criteria analysis.

Data

Landsat 8/9, Sentinel-2 LULC, CHIRPS & Sri Lanka Meteorology Rainfall, Soil Type Map, SRTM DEM, Irrigation Network, Anuradhapura Boundary

Methods

NDVI, EVI, SAVI, NDWI, NDDI, SMI, LST, Rainfall & Slope Analysis, Soil & Land Use, Irrigation Access, AHP-based MCDA, Weighted Overlay

Software

ArcGIS Pro, Google Earth Engine, MS Excel

Outcome

Seasonal CSA zone maps supporting drought resilience planning

What I Learned: Integrated remote sensing indices with GIS-based decision models to support climate-smart agricultural planning.
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Monthly Average Rainfall of Sri Lanka (January to December)

Monthly Average Rainfall Distribution (Jan–Dec)

Sri Lanka

Animated GIS visualisation of monthly average rainfall distribution across Sri Lanka from January to December, highlighting seasonal and spatial rainfall variability.

Data

Monthly average rainfall data (January–December) from the Meteorological Department of Sri Lanka, national administrative boundary data

Methods

Raster classification using a consistent legend, monthly map layout standardisation, temporal sequencing and animation creation

Software

ArcGIS Pro, image processing and GIF export tools

Outcome

A 12-month animated rainfall map supporting climate, hydrological and seasonal pattern analysis

What I Learned: Visualising spatio-temporal climate data through animated GIS maps improves interpretation of seasonal rainfall dynamics.
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Pre- and Post-Flood Analysis Using SAR Imagery - Matara

Pre- & Post-Flood Analysis Using SAR Imagery

Matara District, Sri Lanka

Comparative flood extent and impact assessment of the October 8, 2023 flood event using pre- and post-flood Sentinel-1 SAR imagery and GIS-based spatial analysis.

Data

Sentinel-1 SAR (Pre-flood: 26 Sept 2023, Post-flood: 08 Oct 2023), Land Use/Land Cover data, DEM, Esri infrastructure datasets

Methods

SAR preprocessing (radiometric & terrain correction, speckle filtering), threshold-based water classification, change detection, flood extent mapping, land use & infrastructure impact analysis

Software

ArcGIS Pro, ENVI (SAR Processing)

Outcome

Flood extent maps and impact assessment identifying affected land use and critical infrastructure for disaster management planning

What I Learned: Applied SAR-based change detection and GIS spatial analysis to accurately map flood inundation and assess impacts under adverse weather conditions.
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Spatial Correlation Analysis of Vegetation, Chlorophyll, and Water Availability

Spatial Correlation Analysis of Vegetation Health, Chlorophyll Content, and Water Availability

Galenbindunuwewa DS Division, Anuradhapura District, Sri Lanka

Assessment of vegetation health, chlorophyll concentration, and water availability using Sentinel-2 remote sensing indices and spatial correlation analysis to understand ecological interactions and environmental stress patterns.

Data

Sentinel-2 Multispectral Imagery (Band 3, Band 4, Band 8, Band 11), Galenbindunuwewa DS Boundary

Methods

NDVI, Green Chlorophyll Index (GCI), Land Surface Water Index (LSWI), Thematic Mapping, Random Sampling (100 Points), Pearson Correlation Analysis, Scatter Plots & Trendlines

Software

ArcGIS Pro, Microsoft Excel

Outcome

Identified strong NDVI–GCI correlation (R² = 0.94) and moderate NDVI–LSWI relationship (R² = 0.227), highlighting spatial patterns of vegetation health, chlorophyll content, and water stress.

What I Learned: Applied spatial statistics and remote sensing indices to interpret ecological relationships, enhancing skills in vegetation analysis, correlation mapping, and environmental assessment.
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New Dams and Reservoirs in Sri Lanka Map

New Dams and Reservoirs Mapping

Sri Lanka (Nationwide)

Comprehensive GIS-based mapping of existing, under-construction, and proposed dams and reservoirs in Sri Lanka, integrating river basins, institutional responsibility, and development status to support national water resource planning.

Data

National dam & reservoir inventory, river basin boundaries, Sri Lanka administrative boundary, institutional records (ID, MASL, CEB, NWSDB, NPC), capacity and construction-year data

Methods

Data compilation & validation, attribute standardisation, spatial classification by status and organisation, river basin-wise analysis, cartographic visualisation

Software

ArcGIS Pro, MS Excel

Outcome

A national-level thematic map showing completed, under-construction, and proposed dams and reservoirs by managing organisation and river basin

What I Learned: Practical experience in national-scale water resources mapping, data harmonisation across multiple institutions, and professional cartographic presentation during my internship at the Irrigation Department.
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