Geospatial method for computing supplemental multi-decadal US coastal land use and land cover classification products,using Landsat data and C-CAP products |
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| Authors: | Joseph P Spruce James C Smoot Jean T Ellis Kent Hilbert Roberta Swann |
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| Institution: | 1. Applied Sciences, Computer Sciences Corporation, John C. Stennis Space Center, MS, USA.joseph.p.spruce@nasa.gov;3. Applied Sciences, Computer Sciences Corporation, John C. Stennis Space Center, MS, USA.;4. Department of Geography, University of South Carolina, Columbia, SC, USA.;5. Marine Sciences Program, University of South Carolina, Columbia, SC, USA.;6. BAE Systems, Inc., McLean, VA, USA.;7. Mobile Bay National Estuary Program, Mobile, AL, USA. |
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| Abstract: | This paper discusses the development and implementation of a method that can be used with multi-decadal Landsat data for computing general coastal US land use and land cover (LULC) maps consisting of seven classes. With Mobile Bay, Alabama as the study region, the method that was applied to derive LULC products for nine dates across a 34-year time span. Classifications were computed and refined using decision rules in conjunction with unsupervised classification of Landsat data and Coastal Change and Analysis Program value-added products. Each classification’s overall accuracy was assessed by comparing stratified random locations to available high spatial resolution satellite and aerial imagery, field survey data and raw Landsat RGBs. Overall classification accuracies ranged from 83 to 91% with overall κ statistics ranging from 0.78 to 0.89. Accurate classifications were computed for all nine dates, yielding effective results regardless of season and Landsat sensor. This classification method provided useful map inputs for computing LULC change products. |
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| Keywords: | coastal monitoring land use land cover classification Landsat C-CAP Alabama |
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