Using Sentinel-2 Remote Sensing Indices
This project evaluates vegetation health, chlorophyll content, and water availability in the Galenbindunuwewa Divisional Secretariat Division using Sentinel-2 satellite imagery. NDVI, GCI, and LSWI indices were derived and spatially analyzed to assess ecological conditions and inter-index relationships.
The study area is the Galenbindunuwewa Divisional Secretariat (DS) Division located in the Anuradhapura District of Sri Lanka. The region represents a dry-zone environment with mixed land cover, including agricultural lands, forests, water bodies, and settlements, making it suitable for vegetation and water-related remote sensing analysis.
NDVI values range from -0.098 to 0.633, with higher values indicating healthy and dense vegetation, mainly concentrated in agricultural and forested regions.
GCI values range from -0.22 to 2.71, reflecting chlorophyll concentration. Areas with high GCI correspond closely with high NDVI zones.
LSWI values range from -0.609 to 0.432. Positive values highlight water bodies and wetter zones, while negative values indicate drier areas.
A strong positive linear relationship is observed (R² = 0.94), indicating that vegetation health is strongly dependent on chlorophyll content.
A moderate positive relationship (R² = 0.227) suggests that while water availability supports vegetation health, other environmental factors also play significant roles.
This study demonstrates the effectiveness of integrating NDVI, GCI, and LSWI for environmental assessment in dry-zone regions. The results provide valuable insights for sustainable land management, agricultural monitoring, and resource planning.