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| Air Quality Research |
| Title: | Enhanced Land Surface Characterization |
| Project Period: | 10/01/2005 - 10/31/2006 |
| Total Budget: | $100,000 |
| Sub-Contractors: | University of Texas Center for Space Research (UT CSR)
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The UT Center for Space Research (CSR) is preparing a new land cover classification data set that will improve methodologies for land cover data development and the estimates of average leaf biomass density. These biogenic emissions inputs are necessary for air quality modeling. The new data set developed in this project is based on recent satellite and aerial imagery. Additional vegetation data needed for modeling are being acquired through field surveys that collect specific woody vegetation measurements, and from a Texas Forest Service (TFS) database supported through the USDA Forest Inventory and Analysis (FIA) Program. These inputs can potentially improve the accuracy of land cover classification and provide average leaf biomass density estimates for each observed vegetation genus for each land cover classification. CSR will use the TFS field data for the Texas Air Quality Study II (TexAQSII) land cover classification and to assess the accuracy of classified land cover units. TFS will develop a proposed strategy for estimating average leaf biomass density from the FIA data. Then, working with CSR, more efficient ways will be identified for improved land cover classification that take advantage of the the FIA dataset.
Related Documents
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| Page Updated/Reviewed: 09/06/2007 3:13 PM |
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