Title: Remote Sensing and Land Use Area Estimation
Description:
To find out the estimated land coverage area of Sundarbans using LANDSAT 8 imaging and Image Classification tools.
Tools Used:
1. Image Classification (Training Sample Manager)
2. Band Composite (Data Management Tools)
3. Raster to Polygon
2. Band Composite (Data Management Tools)
3. Raster to Polygon
Working Procedure:
1. LANDSAT 8 pixels corresponding to Sundarbans were downloaded from USGS Earth Explorer.
2. Bands 1 through 7 were composited into one singular image file.
3. Image classifications were done and land coverage was classified into 4 categories: Built Up Area, Sundarbans, Water Body, Farmland and uninhabited Greenery.
4. After image classification was completed, the Raster to Polygon tool was used to vectorize the image to calculate the area (sq.km) of each land cover classification.
5. Area was calculated by exporting Attribute Table data into Ms. Excel and creating Pivot Chart.
2. Bands 1 through 7 were composited into one singular image file.
3. Image classifications were done and land coverage was classified into 4 categories: Built Up Area, Sundarbans, Water Body, Farmland and uninhabited Greenery.
4. After image classification was completed, the Raster to Polygon tool was used to vectorize the image to calculate the area (sq.km) of each land cover classification.
5. Area was calculated by exporting Attribute Table data into Ms. Excel and creating Pivot Chart.
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