Journal
REMOTE SENSING OF ENVIRONMENT
Volume 121, Issue -, Pages 61-68Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2012.01.019
Keywords
Sapling density; Post-fire ecosystems; AVIRIS; Hyperspectral; Fire ecology; Northern Rocky Mountains; Yellowstone National Park
Funding
- NASA Ames Research Center
- NASA
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The density of lodgepole pine (Pinus contorta) sapling regeneration was mapped in areas burned during the 1988 wildfires across Yellowstone National Park (YNP), Wyoming, USA. Hyperspectral image analysis and field measurements were combined across the entire YNP extent. Airborne Visible Infrared Imaging Spectrometer (AVIRIS) image data from 2006 were used to compute ten different vegetation indices (VI). The ten VIs were combined to build multiple regression models for predicting and mapping post-fire sapling density. Four different forms of regression modeling were applied to derive the highest possible prediction accuracy (correlation coefficient of R-2 = 0.83). Pine sapling regeneration 19 years after large-scale wildfires showed a high level of variability in patch density (ranging from 14/100 ha to 57/100 ha), whereas sapling density measured previously from the first decade following wildfire was more uniform (10/100 ha to 21/100 ha). The ecosystem-level dumpiness index showed major shifts in aggregation of different sapling density classes, and was consistent with an overall decrease in estimated sapling density of nearly 50% between 1998 and 2007. This analysis revealed important succession patterns and processes in post-fire forest regeneration for the Greater Yellowstone Area (GYA). Published by Elsevier Inc.
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