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Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery
Office of Arid Lands Studies, Arizona Remote Sensing Center, The University of Arizona, 1955 E. Sixth Street, Tucson, AZ 85721, USA
College of Environment, Forestry, and Natural Sciences, Northern Arizona University, P.O. Box 5694, Flagstaff, AZ 86011, USA
* Author to whom correspondence should be addressed.
Received: 20 August 2011; in revised form: 3 October 2011 / Accepted: 9 October 2011 / Published: 21 October 2011
Abstract: Invasive species’ phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing. Detection is especially critical for ecosystem-transforming species that facilitate changes in disturbance regimes. The African C4 grass, Pennisetum ciliare, is transforming ecosystems on three continents and a number of neotropical islands by introducing a grass-fire cycle. However, previous attempts at discriminating P. ciliare in North America using multi-spectral imagery have been unsuccessful. In this paper, we integrate field measurements of hyperspectral plant species signatures and canopy cover with multi-temporal spectral analysis to identify opportunities for detection using moderate-resolution multi-spectral imagery. By applying these results to Landsat TM imagery, we show that multi-spectral discrimination of P. ciliare in heterogeneous mixed desert scrub is feasible, but only at high abundance levels that may have limited value to land managers seeking to control invasion. Much higher discriminability is possible with hyperspectral shortwave infrared imagery because of differences in non-photosynthetic vegetation in uninvaded and invaded landscapes during dormant seasons but these spectra are unavailable in multispectral sensors. Therefore, we recommend hyperspectral imagery for distinguishing invasive grass-dominated landscapes from uninvaded desert scrub.
Keywords: Pennisetum ciliare; phenology; hyperspectral; NDVI; spectral mixture analysis; cellulose absorption; buffelgrass; Cenchrus ciliaris
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Olsson, A.D.; van Leeuwen, W.J.; Marsh, S.E. Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery. Remote Sens. 2011, 3, 2283-2304.
Olsson AD, van Leeuwen WJ, Marsh SE. Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery. Remote Sensing. 2011; 3(10):2283-2304.
Olsson, Aaryn D.; van Leeuwen, Willem J.D.; Marsh, Stuart E. 2011. "Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery." Remote Sens. 3, no. 10: 2283-2304.