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Change detection and mapping Using repeat images from different time periods View side by side In sequence animation

Mountain legacy project http://explore.mountainlegacy.ca. http://explore.mountainlegacy.ca/comparison/edbeef40-a370-012d-6746-001f5b3a931c. Before and after aerial photographs -Brisbane Floods, Australia, January 2011http://www.abc.net.au/news/specials/qld-floods/. UNBC 2006. 2003. 1993. Post 1972 (landsat MSS)Satellite imageryMinimal distortionSimilar time of day

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Change detection and mapping Using repeat images from different time periods View side by side In sequence animation

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    4. UNBC 2006

    5. 2003

    6. 1993

    8. Cranbrook Hill 2003

    9. Cranbrook Hill 2007

    10. Digitised features: Eyjabakkajkull glacier, Iceland

    12. Urban development : clearing, subdivision, roads, buildings, landscaping, maturity

    14. Resolutions

    15. Pre-processing

    16. Image sequences for change detection

    18. 1. simultaneous display - RGB

    19. Impact of forest clearance on bands

    20. 2. Image algebra - differencing

    21. UNBC Geog432: forestry project

    22. 3. Post classification comparison: the 'matrix'

    23. 4. Principal Components Analysis

    24. PCA Time series analysis 36 monthly AVHRR NDVI images for 3 years PC1:average NDVI PC2:= seasonal change PC3:May versus Nov PC4:Oct /April v Feb/Aug

    25. Loadings (eigenvectors) (= correlation with original images)

    26. Sensor changes due to orbit time drift later time of day

    27. El Nino effects

    28. Summary Methods: > RGB single band display (2-3 dates) > Single band differencing > Ratio and Index differencing - animations > Post classification comparison > Principal Components Analysis Time series

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