SA8922: Remote Sensing and Spatial data

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Presentation transcript:

SA8922: Remote Sensing and Spatial data

Course outline Let’s go through it… http://www.geography.ryerson.ca/wayne/SA8922-W2019/SA8922-W2019-CourseOutline.pdf

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

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

Sentinel

Landsat 8

Data download accounts https://earthexplorer.usgs.gov/ (USGS Earth Explorer) https://scihub.copernicus.eu/ (Sentinel Scientific Data Hub) The link below will help? http://gisgeography.com/how-to-download-sentinel-satellite-data/

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