A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
A Look at Amazon Basin Seasonal Dynamics with the Biophysical ... A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
2 nd International LBA Scientific ConferenceTitle: Mapping and monitoring urban land-cover change in Rondônia using spectralmixture analysisAuthors:Rebecca L. Powell * , Department of Geography, University of California, Santa Barbara,becky@geog.ucsb.eduDar A. Roberts, Department of Geography, University of California, Santa Barbara,dar@geog.ucsb.eduLaura L. Hess, Institute for Computational Earth System Science, University ofCalifornia, Santa Barbara, lola@icess.ucsb.eduCorresponding address:* Department of GeographyUniversity of California, Santa BarbaraSanta Barbara, CA 93106USAAbstract: While the majority of the Amazon’s human population resides in cities andtowns, most studies of land-cover change in the Amazon have ignored the role of urbancenters in driving land-cover conversion and in generating significant environmentalchange. This research develops a methodology to systematically characterize urban landcover in Rondônia using optical remotely sensed imagery. The spectral properties ofurban land cover are derived from Landsat TM imagery using spectral mixture analysis(SMA). Aerial videography is used to relate spectral properties of urban surfaces withphysical materials on the ground. The bio-physical properties of urban land cover arethen characterized and mapped using a simple Vegetation-Impervious Surface-Soil (VIS)model. Accuracy of results is assessed using aerial videography collected in 1999. Thispaper presents an application of this methodology to the city of Ji-Paraná, Rondônia.Comparing such maps through time and across regions provides insights into the role ofurbanization in regional land-cover change and as a driver of environmental change. Thisapproach represents the fist step in developing datasets that include the bio-physicalproperties and the geographic distributions of urban land cover in the Amazon. Suchdatasets can be compared at the regional scale (i.e. across the Amazon Basin) andintegrated into broader studies of the causes and consequences of land-cover change.
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2 nd Intern<strong>at</strong>ional LBA Scientific ConferenceTitle: Mapping and monitoring urban land-cover change in Rondônia using spectralmixture analysisAuthors:Rebecca L. Powell * , Department of Geography, University of California, Santa Barbara,becky@geog.ucsb.eduDar A. Roberts, Department of Geography, University of California, Santa Barbara,dar@geog.ucsb.eduLaura L. Hess, Institute for Comput<strong>at</strong>ional Earth System Science, University ofCalifornia, Santa Barbara, lola@icess.ucsb.eduCorresponding address:* Department of GeographyUniversity of California, Santa BarbaraSanta Barbara, CA 93106USAAbstract: While <strong>the</strong> majority of <strong>the</strong> <strong>Amazon</strong>’s human popul<strong>at</strong>ion resides in cities andtowns, most studies of land-cover change in <strong>the</strong> <strong>Amazon</strong> have ignored <strong>the</strong> role of urbancenters in driving land-cover conversion and in gener<strong>at</strong>ing significant environmentalchange. This research develops a methodology to system<strong>at</strong>ically characterize urban landcover in Rondônia using optical remotely sensed imagery. The spectral properties ofurban land cover are derived from Lands<strong>at</strong> TM imagery using spectral mixture analysis(SMA). Aerial videography is used to rel<strong>at</strong>e spectral properties of urban surfaces <strong>with</strong>physical m<strong>at</strong>erials on <strong>the</strong> ground. The bio-physical properties of urban land cover are<strong>the</strong>n characterized and mapped using a simple Veget<strong>at</strong>ion-Impervious Surface-Soil (VIS)model. Accuracy of results is assessed using aerial videography collected in 1999. Thispaper presents an applic<strong>at</strong>ion of this methodology to <strong>the</strong> city of Ji-Paraná, Rondônia.Comparing such maps through time and across regions provides insights into <strong>the</strong> role ofurbaniz<strong>at</strong>ion in regional land-cover change and as a driver of environmental change. Thisapproach represents <strong>the</strong> fist step in developing d<strong>at</strong>asets th<strong>at</strong> include <strong>the</strong> bio-physicalproperties and <strong>the</strong> geographic distributions of urban land cover in <strong>the</strong> <strong>Amazon</strong>. Suchd<strong>at</strong>asets can be compared <strong>at</strong> <strong>the</strong> regional scale (i.e. across <strong>the</strong> <strong>Amazon</strong> <strong>Basin</strong>) andintegr<strong>at</strong>ed into broader studies of <strong>the</strong> causes and consequences of land-cover change.
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