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Using High Resolution Imagery for Forest Pest Mapping

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Using High Resolution Imagery for Forest Pest Mapping

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    1. Using High Resolution Imagery for Forest Pest Mapping ASPRS GeoTech 2004 October 20, 2004 Silver Spring, MD

    2. Objective Assess potential utility of high resolution satellite imagery for detection of, and assessing damage from, spruce beetle (Dendroctonus rufipennis Kirby). Assess Feature Analyst software for automated extraction of damage

    3. Image Exploitation Traditional Image Interpretation On-screen digitizing of mortality Semi-Automated Feature Extraction Feature Analyst extraction of mortality

    4. Imagery Acquisition IKONOS Acquired on Aug. 8, 2000 4 – meter multispectral (MS) and 1 – meter panchromatic (pan) Quickbird Acquired July 11, 2002 2.8 – meter multispectral and 0.7-meter pan

    5. Imagery Locations

    6. Kasilof Ikonos Image

    7. Kasilof Image: Full Resolution

    8. Sterling Image

    9. Sterling Image: Full Resolution

    11. Feature Analyst Feature Analyst is an extension to ArcView, Arc GIS, and ERDAS Imagine The extension is adaptive software that responds to training and feedback given by the user The results are dependent upon the data given to the software to be “learned” The software utilizes spatial context information as well as spectral information to determine results

    12. Feature Analyst Workflow

    13. Feature Analyst

    14. Feature Analyst

    15. Extracting Old Mortality

    16. Extracting “Old” Mortality

    17. Extracting Old Mortality: “Clutter” Removal

    18. Extracting “New” Mortality

    19. Extracting New Mortality

    20. FA Mortality vs. Ikonos Interpretation

    21. FA Mortality vs. Ikonos Interpretation

    22. Lessons Learned I Ikonos On-screen Interpretation (heads up digitizing) More efficient than aerial photos as output is digital Need some level of aerial photo support to start interpretation process 4 – meter resolution does not readily identify small patches of mortality Pan sharpened imagery did not help the interpretation, 4 – meter CIR was best Polygons more generalized using manual method Took more time

    23. Lessons Learned II Ikonos Interpretation Using Feature Analyst Highly Efficient with a digital output product Analysts need knowledge of phenomenon and pattern Higher spatial resolution imagery leads to better results Analyst can rapidly and interactively correct Feature Analyst output to improve classification Less time

    24. Cost Considerations (2001 prices for IKONOS) Aerial Survey < $0.01 / acre Includes all costs (airplane, sketch, digitizing, GIS) Aerial Photography (CIR, 1:30,000 flown summer 2000) Includes film & flight, interpretation, prints, A? D conversion Kasilof approx. $0.13 / acre Sterling approx. $0.26 / acre IKONOS Image Interpretation $0.36 / acre (with NIMA discount) Includes imagery (Pro product), interpretation IKONOS Using Feature Analyst $0.28 / acre (with NIMA discount) Includes imagery (Pro product), interpretation

    25. Quickbird Follow-On

    26. Quickbird Vs. Ikonos: Pan-Sharpened

    27. Quickbird Resolution

    28. Single Tree Training

    29. Initial Classification

    30. Clutter Removal

    31. Corrected Output (Two Learner Passes)

    32. Aerial Survey 2001 vs. Quickbird with FA

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