International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
ISSG, 2004. Global Invasive Species Database,
Auckland, New Zealand. http://www.issg.org/database
(accessed 14 Jan. 2004).
Kazmi, S. J. H., & Usery, E. L., 2001. Application of RS and
GIS for the monitoring of diseases: A unique research agenda
for geographers. RS Reviews, 20(1), pp. 45-70.
Kharuk, V. I., Kozhukhovskaya, A. A., Pestunov, I. A., Ranson,
K. & Tsibul skiy, G. M., 2001. Use of NOAA/AVHRR
imagery in monitoring Siberian moth outbreaks. Mapping
Sciences and RS, 38(4), pp. 272-281.
Kleinschmidt, I., Bagayoko, M., Clarke, G. P. Y., Craig, M., &
Le Sueur, D., 2000. A spatial statistical approach to malaria
mapping. /nt. J. of Epidemiology, 29(2), pp. 355-361.
Kolar, C. S., & Lodge, D. M., 2001. Progress in invasion
biology: Predicting invaders. Trends in Ecology and Evolution,
16(4), pp. 199-204.
Krueger, D. W., Coble, H. D. and Wilkerson, G. G., 1998.
Software for mapping and analyzing weed distributions:
WeedMap. Agronomy J. 90, pp. 552-556.
Lass, L. W., Shafii, B., Price, W. J., & Thill, D. C., 2000.
Assessing agreement in multispectral images of yellow
starthistle (Centaurea solstitialis) with ground truth data using a
bayesian methodology. Weed Technology, 14(3), pp. 539-544.
Lee, Y. J. (1989). Aerial photography for the detection of soil-
borne disease. Canadian J. of Plant Pathology, 11(2), pp. 173-
176.
Lillesand, T. M., and Kiefer, R. W., 1994. Remote sensing and
image interpretation. 3rd edition. John Wiley & Sons, New
York.
Los, S. O., Tucker, C. J., Anyamba, A., Cherlet, M.,
Collatz, G. J., Giglio, L., hall, F. G., & Kendall, J. A.
(2002). Environmental modelling with GIS and RS.
Taylor & Francis, London.
Luther. J. E., Franklin, S. E., Hudak, J., & Meades, J. P. (1997).
Forecasting the susceptibility and vulnerability of balsam fir
stands to insect defoliation with Landsat Thematic Mapper data.
RS of Environment, 59(1), pp. 77-91.
Mast, J. N., Veblen, T. T., & Hodgson, M. E., 1997. Tree
invasion within a pine/grassland ecotone: an approach with
historic aerial photography and GIS modeling. Forest Ecology
and Management, 93(3), pp. 181-194.
May, C. J., Neale, C. M. U. & Henderson, N., 2000. Mapping
riparian resources in semiarid watersheds using airborne
multispectral imagery. /AHS AISH Publication, 267, pp. 539-
541.
McCormick, C. M., 1999. Mapping exotic vegetation in the
Everglades from large-scale aerial photographs.
Photogrammetric Engineering and RS, 65(2), pp. 179-184.
Medd BR ^W. & Praleiy, J. E. 1998. Precision weed
management in crops and pastures. Proceedings of a workshop.
Wagga Wagga, New South Wales, Australia, 5-6 May 1998.
Medlin, C. R., Shaw, D. R., Gerard, P. D.. & LaMastus, F. E.
2000. Using RS to detect weed infestations in Glycine max.
Weed Science, 48(3), pp. 393-398.
Menges, R. M., Nixon, P. R., & Richardson, A. J., 1985. Light
reflectance and RS of weeds in agronomic and horticultural
crops. Weed Science, 33(4), pp. 569-581.
Mineter, M. J., Dowers, S., & Gittings, B. M., 2000. Towards a
HPC framework for integrated processing of geographical data:
Encapsulating the complexity of parallel algorithms.
Transactions in GIS, 4(3), pp. 245-261.
Mooney, H. A., & Hobbs, R. J., 2000. Invasive Species in a
Changing World. Island Press, Washington, DC.
Peters, A. J., Reed, B. C, Eve, M. D, & McDaniel, K. C.
(1992). RS of brome snakeweed (Gutierrezia sarothrae) with
NOAA-10 spectral image processing. Weed Technology, 6(4),
pp. 1015-1020.
Polley, H. W., Johnson, H. B., & Mayeux, H. S. (1997). Leaf
physiology, production, water use, and nitrogen dynamics of the
grassland invader Acacia smallii at elevated CO,
concentrations. Tree-Physiology, 17(2), 89-96.
Price, J. C., 1994, How unique are spectral signatures? Remote
Sensing of Environment, 49, pp. 181—186.
Ramsey, I. E. W., Nelson, G. A., Sapkota, S. K.Seercr, E. B.,
& Martella, K. D., 2002. Mapping Chinese tallow with color-
infrared photography. Photogrammetric Engineering and RS,
68(3), 251-255.
Rencz, A. N., & Nemeth, J., 1985. Detection of mountain pine
beetle infestation using Landsat MSS and simulated thematic
mapper data. Canadian J. of RS, 11(1), pp. 50-58.
Rescia, A. J., Schmitz, M. F., Martin de Agar, P., Pablo, C uL.
d., Pineda, F. D., De Pablo, C. L., & De Agar, P. M., 1997. A
fragmented landscape in northern Spain analyzed at different
spatial scales: implications for management. J. of Vegetation
Science, 8(3), pp. 343-352.
Richardson, D. M., Pysek, P., Rejmanek, M., Barbour, M. G.,
Panetta, F. D., & West, C. J., 2000. Naturalization and invasion
of aline plants: concepts and definitions. Diversity and
Distributions (6), pp. 93-107.
Rowlinson, L. C., Summerton, M., & Ahmed, F., 1999.
Comparison of RS data sources and techniques for identifying
and classifying alien invasive vegetation in riparian zones.
Water SA, 25(4), pp. 497-500.
Sabins, F. F, 1987. Remote Sensing: principles and
interpretation. 2™ edition. Freeman and company, New York.
Shepherd, J. D., & Dymond, J. R., 2000. BRDF correction of
vegetation in AVHRR imagery. RS of Environment, 74(3), pp-
397-408.
Simberloff, D., Stiling, P., Carey, J. R., Moyle, P., Rejmanck,
M. & Vermeij, G., 1996. Risks of species introduced for
biological control. Special issue: Invasion biology, Davis, USA,
May 1994. Biological-Conservation. 1996, 78(1-2), pp. 185-
192.
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