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Mapping South Asian dry dipterocarp forest using dual-season satellite imagery. Hugh Stimson, Melissa Songer & Peter Leimgruber 2nd Smithsonian Geographic.

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Presentation on theme: "Mapping South Asian dry dipterocarp forest using dual-season satellite imagery. Hugh Stimson, Melissa Songer & Peter Leimgruber 2nd Smithsonian Geographic."— 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 National Zoological Park Conservation & Research Center Conservation & Research Center Conservation GIS Lab Conservation GIS Lab

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

3 Dry Dipterocarp Forest Indaing Elds Deer Cervus eldi thamin Leopard Panthera pardus Bateng Bos javanicus also Asian Hare, Barking Deer, others also Asian Hare, Barking Deer, others

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

5 Indaing Agricultural replacement Agricultural replacement Timber and non-timber extraction 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 -- 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 Dual-Season Sensing April MODIS image – dry season November MODIS image – wet season Moderate-Resolution Imaging Spectroradiometer (MODIS) NASA operated NASA operated 1-2 day temporal resolution 1-2 day temporal resolution 36 discrete bands 36 discrete bands 250, 500, or 1000m pixels 250, 500, or 1000m pixels 2300km swath 2300km swath several pre-processed products several pre-processed products freely available freely available

12 Dual-Season Sensing

13 NDVI Normalized Differential Vegetation Index (NDVI)

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

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

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

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

18 Dual-Season Sensing

19

20 Dual-Season Analysis

21 April MODIS image – dry season November MODIS image – wet season Dual-Season Analysis

22

23 wet season NDVI drydryseasonseasonNDVINDVIdrydryseasonseasonNDVINDVI Dual-Season Analysis

24 wet season NDVI drydryseasonseasonNDVINDVIdrydryseasonseasonNDVINDVI Dual-Season Analysis

25 wet season NDVI drydryseasonseasonNDVINDVIdrydryseasonseasonNDVINDVI Dual-Season Analysis

26 wet season NDVI drydryseasonseasonNDVINDVIdrydryseasonseasonNDVINDVI Dual-Season Analysis

27 wet season NDVI drydryseasonseasonNDVINDVIdrydryseasonseasonNDVINDVI Dual-Season Analysis

28 Results Results of supervised classification.

29 Results

30 Results

31 Results

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

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

34 Landscape Validation

35


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