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    Author(s): James E. Vogelmann; Jay R. Kost; Brian Tolk; Stephen Howard; Karen Short; Xuexia Chen; Chengquan Huang; Kari Pabst; Matthew G. Rollins
    Date: 2011
    Source: IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 4(2): 252-264.
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (1.0 MB)


    LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to generate detailed vegetation type and structure data sets for the entire United States. In order to keep these data sets current and relevant to resource managers, there was strong need to develop an approach for updating these products. We are using three different approaches for these purposes. These include: 1) updating using Landsat-derived historic and current fire burn information derived from the Monitoring Trends in Burn Severity project; 2) incorporating vegetation disturbance information derived from time series Landsat data analysis using the Vegetation Change Tracker; and 3) developing data products that capture subtle intra-state disturbance such as those related to insects and disease using either Landsat or the Moderate Resolution Imaging Spectroradiometer (MODIS). While no one single approach provides all of the land cover change and update information required, we believe that a combination of all three captures most of the disturbance conditions taking place that have relevance to the fire community.

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    Vogelmann, James E.; Kost, Jay R.; Tolk, Brian; Howard, Stephen; Short, Karen; Chen, Xuexia; Huang, Chengquan; Pabst, Kari; Rollins, Matthew G. 2011. Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data. IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 4(2): 252-264.


    landscape monitoring, LANDFIRE, Landsat, MODIS, time series analyses

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