1 / 35

Mapping South Asian dry dipterocarp forest using dual-season satellite imagery.

Mapping South Asian dry dipterocarp forest using dual-season satellite imagery. Hugh Stimson, Melissa Songer & Peter Leimgruber 2nd Smithsonian Geographic Information Systems Conference February 11, 2005 National Zoological Park

nirav
Download Presentation

Mapping South Asian dry dipterocarp forest using dual-season satellite imagery.

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Mapping South Asian dry dipterocarp forest using dual-season satellite imagery. Hugh Stimson, Melissa Songer & Peter Leimgruber 2nd Smithsonian Geographic Information Systems Conference February 11, 2005 National Zoological Park Conservation & Research Center Conservation GIS Lab

  2. Dry Dipterocarp Forest “Indaing” High Indaing Low Indaing • South East and South Asia • Highly seasonal • Regular burning • Occurs near humans

  3. Dry Dipterocarp Forest “Indaing” Eld’s Deer Cervus eldi thamin Leopard Panthera pardus Bateng Bos javanicus • also Asian Hare, Barking Deer, others

  4. Dry Dipterocarp Forest “Indaing” • Cervus eldi thamin • Dry Dipterocarp Forest preferred habitat • Gone from most of former range • Habitat loss most significant threat • Resident of CRC

  5. Dry Dipterocarp Forest “Indaing” • Agricultural replacement • Timber and non-timber extraction

  6. Sensing and Mapping Chatthin National Park December 2000 ASTER image Chatthin National Park March 2000 ASTER image

  7. Sensing and Mapping November 2001 Landsat image March 2000 Landsat image

  8. Sensing and Mapping `

  9. Sensing and Mapping -- Protected Areas Systems Review of the Indo-Malayan Realm Asian Bureau for Conservation

  10. Dual-Season Sensing November 2001 image – wet season March 2000 image – dry season

  11. November 1 2003 MODIS image – wet season April 7 2003 MODIS image – dry season Dual-Season Sensing • Moderate-Resolution Imaging Spectroradiometer (MODIS) • NASA operated • 1-2 day temporal resolution • 36 discrete bands • 250, 500, or 1000m pixels • 2300km swath • several pre-processed products • freely available

  12. Dual-Season Sensing

  13. 880-660 880+660 NDVI Dual-Season Sensing Normalized Differential Vegetation Index (NDVI)

  14. November 1 2003 MODIS image – wet season April 7 2003 MODIS image – dry season Dual-Season Sensing • Moderate-Resolution Imaging Spectroradiometer (MODIS) • NASA operated • 1-2 day temporal resolution • 36 discrete bands • 250, 500, or 1000m pixels • 2300km swath • several pre-processed products • freely available

  15. November 1 2003 MODIS image – wet season Raw data for classification. April 7 2003 MODIS image – dry season Dual-Season Sensing • Moderate-Resolution Imaging Spectroradiometer (MODIS) • NASA operated • 1-2 day temporal resolution • 36 discrete bands • 250, 500, or 1000m pixels • 2300km swath • several pre-processed products • freely available

  16. Dual-Season Sensing March 7 2002 ASTER image – dry season • Advanced Spaceborne Thermal and Emmission and Reflection Radiometer (ASTER) • NASA and Japanese Ministry of Economy Trade and Industry operated • 14 discrete bands • 15, 30, or 90m pixels • 60km swath November 24 2001 ASTER image – wet season

  17. Dual-Season Sensing March 7 2002 ASTER image – dry season • Advanced Spaceborne Thermal and Emmission and Reflection Radiometer (ASTER) • NASA and Japanese Ministry of Economy Trade and Industry operated • 14 discrete bands • 15, 30, or 90m pixels • 60km swath Imagery for training classifactation. November 24 2001 ASTER image – wet season

  18. Dual-Season Sensing

  19. Dual-Season Sensing

  20. Dual-Season Analysis

  21. November 1 2003 MODIS image – wet season April 7 2003 MODIS image – dry season Dual-Season Analysis

  22. Dual-Season Analysis

  23. dry season NDVI wet season NDVI Dual-Season Analysis

  24. Dual-Season Analysis dry season NDVI wet season NDVI

  25. Dual-Season Analysis dry season NDVI wet season NDVI

  26. Dual-Season Analysis dry season NDVI wet season NDVI

  27. dry season NDVI wet season NDVI Dual-Season Analysis

  28. Results Results of supervised classification.

  29. Results Results of supervised classification.

  30. Results

  31. Results

  32. Results • Remaining to do: • Develop a landscape-level accuracy assessment approach. • Try including a digital elevation layer in the classification model.

  33. Thanks: Thomas Mueller, Dan Kelly, Jamie Robertson, Kevin Koy National Zoological Park Conservation & Research Center Conservation GIS Lab

  34. Landscape Validation

  35. Landscape Validation

More Related