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
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Abstract

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.
Publication type Article
Publication Subtype Journal Article
Title Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data
Series title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
DOI 10.1109/JSTARS.2010.2044478
Volume 4
Issue 2
Year Published 2011
Language English
Publisher Institute of Electrical and Electronics Engineers
Publisher location New York, NY
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
First page 252
Last page 264
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