Enhanced Land Cover and Land Cover Change   Products from MODIS

 

John Townshend, Ruth DeFries, Matthew Hansen, Robert Sohlberg, Charlene DiMiceli, Mark Carroll, Jessica McCarty, Karen Schleeweis, Karl Wurster, Jian Zhang

 

           Accurate estimates of global and regional vegetation cover are crucial for the study of biogeochemical cycles, ecosystem assessment, and land management.  Land cover is an important driver for a variety of process models and bounds parameters including surface roughness, standing biomass, and evapotranspiration.  Changes in vegetative cover are equally important as they represent perturbations of the earth system.

  The MODIS instruments onboard the NASA Terra and Aqua spacecraft provide unique and improved observation of the earth surface.  As members of the MODIS Science Team, investigators at UMD have developed a new suite of land cover characterization and change products.

The Vegetation Continuous Fields (VCF) product improves upon traditional discrete land cover classifications by providing global sub-pixel estimates of landscape components at a 500m spatial resolution.  Estimates are provided for percent tree cover, herbaceous cover, and bare cover.  Vegetative cover is further partitioned into leaf type (broad leaf and needle leaf) and longevity (evergreen and deciduous).  By providing continuous percent cover estimates, users are able to define their own vegetation class boundaries without constraints imposed by a priori definitions inherent in discrete land cover classifications.  VCF is produced on an annual time step, allowing the analysis of changes in vegetation density through time.  Current work is focused on increasing the spatial resolution of the VCF data set to 250m.  Additional data layers are also being developed to characterize percent crop cover and fragmentation.

The second product in the suite is Vegetative Cover Conversion (VCC).  This data set provides quarterly identification of land cover change hot spots at a spatial resolution of 250m.  Daily MODIS data is assimilated to collect the best possible set of cloud free, near nadir observations from which to assess change.  Changes of interest include deforestation, flooding, and burning.  The data set is intended to identify those areas undergoing rapid land cover change which should be further delineated using fine resolution observations from instruments such as Landsat and IKONOS.

Example publications:  Hansen, M.C., DeFries, R.S., Townshend, J.R.G., Carroll, M., DiMiceli, C., and Sohlberg, R. 2003.  Global percent tree cover at a spatial resolution of 500 meters:  first results of the MODIS Vegetation Continuous Fields algorithm, Earth Interactions, 7, 1-15.  Zhan, X., Sohlberg, R., Townshend, J.R.G., DiMiceli, C., Carroll, M., Eastman, J.C., Hansen, M., and DeFries, R.S.  2002.  Detection of land cover changes using MODIS 250m data, Remote Sensing Environment, 83(1&2), 336-350.