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plant management. In: Proceedings of Weed Society of America Meeting. Weed Science
Society of America: Kansas City, MO (CD-ROM).
DeLoach, C. J., Carruthers, R., Dudley, T., Eberts, D., Kazmer, D., Knutson, A., Bean, D.,
Knight, J., Lewis, P., Tracy, J., Herr, J. Abbot, G., Prestwich, S., Adams, G., Mityaev, I.,
Jashenko, R., Li, B., Sobhian, R., Kirk, A., Robbins, T., and Delfosse, E. 2004. First results
for control of saltcedar (Tamarix spp.) in the open field in the western United States. In
J.Cullen (Ed.), Eleventh International Symposium on Biological Control of Weeds Canberra, Australia: CSIRO.
DeLoach, C. J., Curruthers, R. I., Lovich, J. E., Dudley, T. L., and Smith, S. D. 2000. Ecological
interactions in the biological control of saltcedar (Tamarix spp.) in the United States: Toward a
new understanding. In N. R. Spencer (Ed.), Proceedings of the X International Symposium on
Biological Control of Weeds. Bozeman: Montana State University, pp. 819–873.
De Pondeca, M., Manikin, G. S., Dimego, G., Benjamin, S. G., Parrish, D. F., Purser, J., Wu,
W., Horel, J. D., Myrick, D. T., Ying, L., Aune, R. M., Keyser, D., Colman, B., Mann, G.,
and Vavra, J. 2011. The real-time mesoscale analysis at NOAA’s National Centers for
Environmental Prediction: Current status and development. Weather and Forecasting
26:593–611.
Di Tomaso, J. 1998. Impact, biology, and ecology of saltcedar (Tamarix spp.) in the
southwestern United States. Weed Technology 12:326–336.
Dudley, T. L., Dalin, P., and Bean, D. W. 2006. Status of biological control of Tamarix spp.
in California. In M. S. Hoddle and M. W. Johnson (Eds.), Proceedings of the Fifth
California Conference on Biological Control. Riverside, CA: University of California,
pp. 137–140.
Eklundh, L., Johansson, T., and Soldberg, S. 2009. Mapping insect defoliation in Scots pine
with MODIS time-series data. Remote Sensing of Environment 113:1566–1573.
Eshleman, K. N., McNeil, B. E., and Townsend, P. A. 2009. Validation of a remote sensing
based index of forest disturbance using streamwater nitrogen data. Ecological Indicators
9:476–484.
Gillanders, S. N., Coops, N. C., Wulder, M. A., Gergel, S. E., and Nelson, T. 2008.
Multitemporal remote sensing of landscape dynamics and pattern change: describing
natural and anthropogenic trends. Progress in Physical Geography 32:503–528.
Glenn, E. P., Huete, A., Nagler, P., Hirschboek, K., and Brown, P. 2007. Integrating remote
sensing and ground methods to estimate evapotranspiration. Critical Reviews in Plant
Sciences 26:139–168.
Glenn, E. P., Morino, K., Didan, K., Jordan, F., Carroll, K., Nagler, P., Hultine, K., Sheader, L.,
and Waugh, J. 2008. Scaling sap flux measurements of grazed and ungrazed shrub
communities with fine and coarse-resolution remote sensing. Ecohydrology 1:316–329.
Glenn, E. P., Huete, A. R., Nagler, P. L. 2010. Vegetation index methods for estimating
evapotranspiration by remote sensing. Surveys in Geophysics 31:531–555.
Glenn, E. P., Huete, A. R., Nagler, P. L., Nelson, S. G. 2008. Relationship between
remotely sensed vegetation indices, canopy attributes and plant physiological processes:
What vegetation indices can and cannot tell us about the landscape. Sensors 8:2136–
2160.
Groeneveld, D. P., and Baugh, W. M. 2007. Correcting satellite data to detect vegetation signal
for eco-hydrologic analyses. Journal of Hydrology 344:135–145.
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103