1. SA8922: Remote Sensing and Spatial data

2. Course outline Let’s go through it…

5. Term Project Flowchart
Image B Band 2
Image B (2010)
Change - No Change Image
Difference Image
Urban Change
Image A (2016)
Image A Band 2
Unsupervised Classification for Landuse
Image A + PCA
Landuse Classification with Best Accuracy
Unsupervised Classification for Landuse
Image A + PCA + NDVI
Unsupervised Classification for Landuse

6. Urban Change
Raster Calculator: (Change – No Change Image) + (Classified Landuse Image)
Unique # in result where pixels were “Change” and “Urban”
Results:
Highlighted Olympics venues and transportation networks very well
Also highlighted many other areas throughout the study area
Accurate???
Urban change detection classification (red = urban change) for 2016, for the Barra subset area

7. Sentinel

8. Landsat 8

9. Data download accounts
(USGS Earth Explorer)
(Sentinel Scientific Data Hub)
The link below will help?