PERS March 2015 Members - page 207

Snyder, K.A., R.L. Scott, and K., McGwire, 2012. Multiple year effects
of a biological control agent (
Diorhabda carinulata
) on
Tamarix
(saltcedar) ecosystem exchanges of carbon dioxide and water,
Agricultural and Forest Meteorology
, 164:161–169.
Somers, B., and G.P. Asner, 2013. Multi-temporal hyperspectral mix-
ture analysis and feature selection for invasive species mapping
in rainforests,
Remote Sensing of Environment
,
136:14–27.
Somers, B., K. Cools, S. Delalieux, J. Stuckens, D. Van der Zande,
W.W. Verstraeten, and P. Coppin, 2009. Nonlinear hyperspectral
mixture analysis for tree cover estimates in orchards,
Remote
Sensing of Environment
, 113: 1183–1193.
Somers, B., K. Cools, S. Delalieux, J. Stuckens, D. Van der Zande,
W.W. Verstraeten, and P. Coppin, 2008. A weighted linear spec-
tral mixture analysis approach to address endmember variability
in agricultural production systems,
International Journal of
Remote Sensing
, 30:139–147.
Somers, B., K. Cools, S. Delalieux, J. Stuckens, D. Van der Zande,
W.W. Verstraeten, and P. Coppin,2010. An automated waveband
selection technique for optimized hyperspectral mixture analy-
sis,
International Journal of Remote Sensing
, 31:5549–5568.
Sonnentag, O., J.M. Chen, D.A. Roberts, J. Talbot, K.Q. Halligan, and
A. Govind, 2007. Mapping tree and shrub leaf area indices in an
ombrotrophic peatland through multiple endmember spectral
unmixing,
Remote Sensing of Environment
, 109:342–360.
Tracy, J.L., and T.O. Robbins, 2009.
Taxonomic Revision and Bioge-
ography of the Tamarix-Feeding Diorhabda elongata (Brullé,
1832) Species Group (Coleoptera: Chrysomelidae: Galerucinae:
Galerucini) and Analysis of Their Potential in Biological Control
of Tamarisk
, Magnolia Press, Auckland, New Zealand, 152 p.
Tucker, C.J., 1979. Red and photographic infrared linear combina-
tions for monitoring vegetation,
Remote Sensing of Environment
,
8:127–150.
Ustin, S.L., D.A. Roberts, J.A. Gamon, G.P. Asner, and R.O. Green,
2004. Using imaging spectroscopy to study ecosystem processes
and properties,
BioScience
, 54:523–534.
Van Aardt, J.A.N., and R.H. Wynne, 2001. Spectral separability among
six southern tree species,
Photogrammetric Engineering & Re-
mote Sensing
, 67(12):1367–1375.
Van Der Meer, F., and W. Bakker, 1997. CCSM: Cross correlogram
spectral matching,
International Journal of Remote Sensing
,
18:1197–1201.
Wulder, M.A., J.C. White, N.C., Coops, and C.R. Butson, 2008. Multi-
temporal analysis of high spatial resolution imagery for distur-
bance monitoring,
Remote Sensing of Environment
, 112:2729–
2740.
Zavaleta, E., 2000. The economic value of controlling an invasive
shrub,
Ambio
, 29:462–467.
Zhang, L., S. Furumi, K., Muramatsu, N. Fujiwara, M. Daigo, and L.
Zhang, 2006. Sensor independent analysis method for hyper-
spectral data based on the pattern decomposition method,
Inter-
national Journal of Remote Sensing
, 27:4899–4910.
Zhang, L.,S. Furumi, K. Muramatsu, N. Fujiwara, M. Daigo, and L.
Zhang, 2007. A new vegetation index based on the universal
pattern decomposition method,
International Journal of Remote
Sensing
, 28:107–124.
(Received 26 April 2014; accepter 04 August 2014; final ver-
sion 13 October 2014)
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