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Mapping South Asian dry dipterocarp forest using dualseason satellite imagery

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Mapping South Asian dry dipterocarp forest using dualseason satellite imagery

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Dry dipterocarp forest is an endangered South Asian habitat type. Conservation is difficult because few good maps exist: dry dipterocarp is particularly hard to detect using conventional remote sensing. Working with an extensive set of ASTER and MODIS satellite images, we developed a multi-season multi-satellite methodology for mapping this illusive landcover.

This presentation was given at the Smithsonian Institution annual GIS day in 2005.

Dry dipterocarp forest is an endangered South Asian habitat type. Conservation is difficult because few good maps exist: dry dipterocarp is particularly hard to detect using conventional remote sensing. Working with an extensive set of ASTER and MODIS satellite images, we developed a multi-season multi-satellite methodology for mapping this illusive landcover.

This presentation was given at the Smithsonian Institution annual GIS day in 2005.

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Mapping South Asian dry dipterocarp forest using dualseason satellite imagery

  1. 1. Mapping South Asian dryMapping South Asian dry dipterocarp forestdipterocarp forest using dual-seasonusing dual-season satellite imagery.satellite imagery. Hugh Stimson, Melissa Songer & Peter LeimgruberHugh Stimson, Melissa Songer & Peter Leimgruber 2nd Smithsonian Geographic Information Systems Conference2nd Smithsonian Geographic Information Systems Conference February 11, 2005February 11, 2005 National Zoological ParkNational Zoological Park Conservation & Research CenterConservation & Research Center Conservation GIS LabConservation GIS Lab
  2. 2. Dry Dipterocarp ForestDry Dipterocarp Forest ““Indaing”Indaing” High IndaingHigh Indaing Low IndaingLow Indaing • South East and South AsiaSouth East and South Asia • Highly seasonalHighly seasonal • Regular burningRegular burning • Occurs near humansOccurs near humans
  3. 3. Dry Dipterocarp ForestDry Dipterocarp Forest ““Indaing”Indaing” Eld’s DeerEld’s Deer Cervus eldi thaminCervus eldi thamin LeopardLeopard Panthera pardusPanthera pardus BatengBateng Bos javanicusBos javanicus • also Asian Hare, Barking Deer, othersalso Asian Hare, Barking Deer, others
  4. 4. • Cervus eldi thaminCervus eldi thamin • Dry Dipterocarp Forest preferred habitatDry Dipterocarp Forest preferred habitat • Gone from most of former rangeGone from most of former range • Habitat loss most significant threatHabitat loss most significant threat • Resident of CRCResident of CRC Dry Dipterocarp ForestDry Dipterocarp Forest ““Indaing”Indaing”
  5. 5. Dry Dipterocarp ForestDry Dipterocarp Forest ““Indaing”Indaing” • Agricultural replacementAgricultural replacement • Timber and non-timber extractionTimber and non-timber extraction
  6. 6. Sensing and MappingSensing and Mapping Chatthin National ParkChatthin National Park December 2000 ASTER imageDecember 2000 ASTER image Chatthin National ParkChatthin National Park March 2000 ASTER imageMarch 2000 ASTER image
  7. 7. Sensing and MappingSensing and Mapping November 2001 Landsat imageNovember 2001 Landsat image March 2000 Landsat imageMarch 2000 Landsat image
  8. 8. Sensing and MappingSensing and Mapping ``
  9. 9. Sensing and MappingSensing and Mapping ---- Protected Areas Systems Review of the Indo-Malayan RealmProtected Areas Systems Review of the Indo-Malayan Realm Asian Bureau for ConservationAsian Bureau for Conservation
  10. 10. Dual-Season SensingDual-Season Sensing November 2001 image – wet seasonNovember 2001 image – wet season March 2000 image – dry seasonMarch 2000 image – dry season
  11. 11. Dual-Season SensingDual-Season Sensing April 7 2003 MODIS image – dry seasonApril 7 2003 MODIS image – dry season November 1 2003 MODIS image – wet seasonNovember 1 2003 MODIS image – wet season Moderate-Resolution ImagingModerate-Resolution Imaging Spectroradiometer (MODIS)Spectroradiometer (MODIS) • NASA operatedNASA operated • 1-2 day temporal resolution1-2 day temporal resolution • 36 discrete bands36 discrete bands • 250, 500, or 1000m pixels250, 500, or 1000m pixels • 2300km swath2300km swath • several pre-processed productsseveral pre-processed products • freely availablefreely available
  12. 12. Dual-Season SensingDual-Season Sensing
  13. 13. Dual-Season SensingDual-Season Sensing NDVI 880-660 880+660 Normalized Differential Vegetation Index (NDVI)Normalized Differential Vegetation Index (NDVI)
  14. 14. Dual-Season SensingDual-Season Sensing April 7 2003 MODIS image – dry seasonApril 7 2003 MODIS image – dry season November 1 2003 MODIS image – wet seasonNovember 1 2003 MODIS image – wet season Moderate-Resolution ImagingModerate-Resolution Imaging Spectroradiometer (MODIS)Spectroradiometer (MODIS) • NASA operatedNASA operated • 1-2 day temporal resolution1-2 day temporal resolution • 36 discrete bands36 discrete bands • 250, 500, or 1000m pixels250, 500, or 1000m pixels • 2300km swath2300km swath • several pre-processed productsseveral pre-processed products • freely availablefreely available
  15. 15. Dual-Season SensingDual-Season Sensing April 7 2003 MODIS image – dry seasonApril 7 2003 MODIS image – dry season November 1 2003 MODIS image – wet seasonNovember 1 2003 MODIS image – wet season Moderate-Resolution ImagingModerate-Resolution Imaging Spectroradiometer (MODIS)Spectroradiometer (MODIS) • NASA operatedNASA operated • 1-2 day temporal resolution1-2 day temporal resolution • 36 discrete bands36 discrete bands • 250, 500, or 1000m pixels250, 500, or 1000m pixels • 2300km swath2300km swath • several pre-processed productsseveral pre-processed products • freely availablefreely available Raw data for classification.Raw data for classification.
  16. 16. Dual-Season SensingDual-Season Sensing Advanced Spaceborne ThermalAdvanced Spaceborne Thermal and Emmission and Reflectionand Emmission and Reflection Radiometer (ASTER)Radiometer (ASTER) • NASA and Japanese Ministry ofNASA and Japanese Ministry of Economy Trade and IndustryEconomy Trade and Industry operatedoperated • 14 discrete bands14 discrete bands • 15, 30, or 90m pixels15, 30, or 90m pixels • 60km swath60km swath March 7 2002 ASTER image – dry seasonMarch 7 2002 ASTER image – dry season November 24 2001 ASTER image – wet seasonNovember 24 2001 ASTER image – wet season
  17. 17. Dual-Season SensingDual-Season Sensing Advanced Spaceborne ThermalAdvanced Spaceborne Thermal and Emmission and Reflectionand Emmission and Reflection Radiometer (ASTER)Radiometer (ASTER) • NASA and Japanese Ministry ofNASA and Japanese Ministry of Economy Trade and IndustryEconomy Trade and Industry operatedoperated • 14 discrete bands14 discrete bands • 15, 30, or 90m pixels15, 30, or 90m pixels • 60km swath60km swath March 7 2002 ASTER image – dry seasonMarch 7 2002 ASTER image – dry season November 24 2001 ASTER image – wet seasonNovember 24 2001 ASTER image – wet season Imagery for trainingImagery for training classifactation.classifactation.
  18. 18. Dual-Season SensingDual-Season Sensing
  19. 19. Dual-Season SensingDual-Season Sensing
  20. 20. Dual-Season AnalysisDual-Season Analysis
  21. 21. April 7 2003 MODIS image – dry seasonApril 7 2003 MODIS image – dry season November 1 2003 MODIS image – wet seasonNovember 1 2003 MODIS image – wet season Dual-Season AnalysisDual-Season Analysis
  22. 22. Dual-Season AnalysisDual-Season Analysis
  23. 23. wet season NDVIwet season NDVI dd rr yy ss ee aa ss oo nn NN DD VV II Dual-Season AnalysisDual-Season Analysis
  24. 24. wet season NDVIwet season NDVI dd rr yy ss ee aa ss oo nn NN DD VV II Dual-Season AnalysisDual-Season Analysis
  25. 25. wet season NDVIwet season NDVI dd rr yy ss ee aa ss oo nn NN DD VV II Dual-Season AnalysisDual-Season Analysis
  26. 26. wet season NDVIwet season NDVI dd rr yy ss ee aa ss oo nn NN DD VV II Dual-Season AnalysisDual-Season Analysis
  27. 27. wet season NDVIwet season NDVI dd rr yy ss ee aa ss oo nn NN DD VV II Dual-Season AnalysisDual-Season Analysis
  28. 28. ResultsResults Results of supervised classification.Results of supervised classification.
  29. 29. ResultsResults Results of supervised classification.Results of supervised classification.
  30. 30. ResultsResults
  31. 31. ResultsResults
  32. 32. Remaining to do:Remaining to do: • Develop a landscape-levelDevelop a landscape-level accuracy assessmentaccuracy assessment approach.approach. • Try including a digitalTry including a digital elevation layer in theelevation layer in the classification model.classification model. ResultsResults
  33. 33. Thanks:Thanks: Thomas Mueller,Thomas Mueller, Dan Kelly,Dan Kelly, Jamie Robertson,Jamie Robertson, Kevin KoyKevin Koy National Zoological ParkNational Zoological Park Conservation & Research CenterConservation & Research Center Conservation GIS LabConservation GIS Lab
  34. 34. Landscape ValidationLandscape Validation
  35. 35. Landscape ValidationLandscape Validation

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