1. An Overview of Remote Sensing and Image Processing by Miles Logsdon with thanks to Robin Weeks and Frank Westerlund

2. What is Remote Sensing? zRemote Sensing is a technology for sampling radiation and force fields to acquire and interpret geospatial data to develop information about features, objects, and classes on Earth's land surface, oceans, and atmosphere (and, where applicable, on the exterior's of other bodies in the solar system). zRemote Sensing is detecting and measuring of electromagnetic energy (usually photons) emanating from distant objects made of various materials, so that we can identify and categorize these object by class or type, substance, and spatial distribution.

3. Land surface from satellite zFour landsat-5 Thematic Mapper multispectral image mosaic displayed in 4,3,2-RGB (false color) zAugust 2nd and 27th, 1998, 10:15a.m. pst. z16 day repeat, 30m

4. Ocean Color zSeaWiFs classified ocean color image with unclassified land surface displayed 632-RGB zAugust 16th, 1999 zDaily, 1km

5. Time series One year of daily AVHRR at 1km of the Amazon Basin

6. Extra Info http://courses.washington.edu/urbdp467/handouts.html

7. Reflected Light

8. The “PIXEL”

9. Wavelength (Bands)

10. Band Combinations 3,2,1 4,3,2 5,4,3

11. Resolution and Spectral Mixing

12. Spectral Mixutre

13. Spectral Signatures

14. Spectral Profile

15. Spatial Profile

16. Spectral profile surface

17. Spectral Dimensions

18. 3 band space

19. Clusters

20. 1d classifier

21. Unsupervised Classification ISODATA - Iterative Self-Organizing Data Analysis Technique

22. ISODATA clusters

23. Supervised Classification

24. Parametric classifiers

25. Classification Systems http://courses.washington.edu/urbdp467/classify.html

26. Classification

27. Hybrid Classification

28. Hybrid - “superblocks”

29. Feature Space

30. Ground Truth

31. Classified Product

32. Working with ERDAS 8.3.1 http://courses.washington.edu/urbdp467/exer.html *See Quick Tips DATA: D:/classes/riv2000/kingco/kc_tm98raw.i mg D:/classes/riv2000/kingco/issaquah_quad.img