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10 March 2014 Fire effects in the northern Chihuahuan Desert derived from Landsat-5 Thematic Mapper spectral indices
Joseph D. White, Pamela Swint
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Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083667 (March 2014). https://doi.org/10.1117/1.JRS.8.083667
Abstract
Fire effects on desert ecosystems may be long-lasting based on ecological impact of fire in these environments which potentially is detected from multispectral sensors. To assess this, we analyzed changes in spectral characteristics from 1986 to 2010 of pixels associated with the location of fires that occurred between 1986 and 1999 in Big Bend National Park, USA, located in the northern Chihuahuan Desert. Using Landsat-5 Thematic Mapper (TM) data, we derived spectral indices including the simple ratio (SR), normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and normalized burn ratio (NBR) from 1989, 1999, and 2010 from the TM data and compared changes in spectral index values for sites with and without observed fire. We found that the NDVI and SAVI had significantly different values over the time for burned sites of different fire sizes. When differences of the spectral indices were calculated from each time period, time since fire was correlated with the SR and NBR indices. These results showed that large fires potentially had a persistent and long-term c13hange in vegetation cover and soil characteristics which were detected by the extraordinary long-data collection period of the Landsat-5 TM sensor.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Joseph D. White and Pamela Swint "Fire effects in the northern Chihuahuan Desert derived from Landsat-5 Thematic Mapper spectral indices," Journal of Applied Remote Sensing 8(1), 083667 (10 March 2014). https://doi.org/10.1117/1.JRS.8.083667
Published: 10 March 2014
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Cited by 5 scholarly publications.
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KEYWORDS
Vegetation
Earth observing sensors
Landsat
Satellites
Reflectivity
Ecosystems
Near infrared
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