Sanjida Suchi

Goal and Objectives

The goal of this project is to identify and visualize urban areas, vegetation, and water bodies within Salzburg city. The objectives of the project include:

• Utilize Sentinel-2 imagery to detect and classify urban areas, vegetation, and water bodies.
• Apply NDVI, NDWI, and NDBI indices to preprocess the data and enhance feature classification.
• Provide an overview of Salzburg's urban expansion, vegetation, and water relations.

Data Used & Methodology

Sentinel-2 imagery was selected for its high-resolution, multispectral capabilities, ideal for urban and environmental analysis. The following indices were used for preprocessing:

• NDVI (Normalized Difference Vegetation Index): Used to highlight areas with a high probability of vegetation.
• NDWI (Normalized Difference Water Index): Used to identify water bodies like rivers, lakes, and pools.
• NDBI (Normalized Difference Built-up Index): Used to detect urban areas, focusing on rooftops and buildings.

Results and Observations

The results from the custom script using Sentinel-2 data highlighted three primary features within Salzburg city:

• Urban Areas (Rooftops and Buildings): Identified with red color, representing areas with high built-up features.
• Vegetation Areas: Marked in green, showing regions with a high probability of vegetation.
• Water Bodies: Depicted in blue, indicating rivers, pools, and the sea.

Visual Representation

City Highlights (Using Custom Script)

True Color Representation

Conclusion

The application of NDVI, NDWI, and NDBI indices using Sentinel-2 data provides valuable insights into Salzburg's urban environment and natural features. The results highlight the spatial distribution of built-up areas, vegetation, and water bodies, offering a comprehensive overview of the city’s landscape and potential for future urban planning and environmental management.