Evaluating MODIS data for mapping wildlife habitat distribution. Published in Remote Sensing of the Environment in May 2008. Conservation issues. Habitat fragmentation -The division of large habitat patches into many small patches -Increases isolation of animals within habitats
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Evaluating MODIS data for mapping wildlife habitat distribution
Published in Remote Sensing of the Environment in May 2008
-The division of large habitat patches into many small patches
-Increases isolation of animals within habitats
-Decreases amount of interior habitat, increases edge habitat
-Edges create microclimates which are only suitable for certain types of wildlife. Many wildlife species are extremely vulnerable in these habitats.
-Many animals have a large home range within which they are constantly traveling to find the resources they need to survive. As habitats become increasingly fragmented, animals are unable to perform their livelihoods within these ranges.
Choosing which areas are most important for conservation requires extensive knowledge about the spatial distribution of the specific habitat type.
Remote Sensing can be particularly useful for this if areas are difficult to get to.
Giant Panda habitat in China is a prime example of this.
8-day surface reflectance data were used to calculate a new vegetation index
WDRVI- Wide dynamic range vegetation index
Non-linearly related to NDVI
Vina, Bearer, H. Zhang and Z. Ouyang. Evaluating MODIS data for mapping wildlife distribution. Remote Sensing of Environment; 112, 2008.