. Light
ultural
vards a
il data:
rithms.
es in a
«K. €.
e) with
y, 6(4),
IY: Leaf
s of the
CO,
emote
rL E. B.,
h color-
ind RS,
ain pine
hematic
o. C. T.
1907. A
different
getation
M G.,
invasion
ity and
1999.
entifying
n Zones.
les and
York.
ection of
4(3). pp.
ejmanek,
luced for
vis, USA,
pp. 185-
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
Smirnov, S. L, & Kotova, M. S., 1994. System of ecological
monitoring of the forest resources on territories contaminated
by radionuclides. Lesnoe Khozyaistvo, 3, pp. 40-42.
Soule, M. E., & Kohm, K. A., 1989. Research priorities for
conservation Biology. Island Press, Washington DC.
Specter, C. and Gayle, D., 1990. Managing Technology
Transfer for Coastal Zone Development: Caribbean Experts
Identify Major Issues. /nt. J. of RS, 11(10), pp. 1729-1740.
Stoms, D. M., & Estes, J. E., 1993. A RS research agenda for
mapping and monitoring biodiversity. /nt. J. of RS (14), pp.
1839-1860.
Stow, D., Hope, A., Richardson, D., Chen, D., Garrison, C., &
Service, D., 2000. Potential of colour-infrared digital camera
imagery for inventory and mapping of alien plant invasions in
South African shrublands. /nt. J. of RS, 21(15), pp. 2965-2970.
Stow, D. A., Hope, A. S., & George, T. H., 1989. Reflectance
characteristics of arctic tundra vegetation from airborne
radiometry. Int. J. of RS, 14(6), pp. 1239-1244.
Terry, L. I., & Edwards, G. J., 1989. Efficacy of densitometric
and multispectral techniques for monitoring infestations of
citrus snow scale on citrus bark. Photogrammetric Engineering
and RS, 55(10), pp. 1471-1475.
Thenkabail, P. S., 1999, Characterization of the alternative to
slash-and-burn benchmark research area representing the
Congolese rainforests of Africa using near-real-time SPOT
HRV data. Int. J. of RS, 20 (5), pp. 839-877.
Trani, M. K., 2002. The influence of spatial scale on landscape
pattern description and wildlife habitat assessment in:
Predicting species occurances, issues of accuracy and scale.
Island Press, Washington.
Ustin, S. L., DiPietro, D., Olmstead, K., Underwood, E., &
Scheer, G., 2002. Hyperspectral RS for invasive species
detection and mapping. Int. Geoscience and RS Symposium,
24th Canadian Symposium On RS, Toronto, Canada.
Van der Meer, F., Schmidt, K. S., Bakker, A., & Bijker, W.,
2002. New Environmental RS systems. In: Environmental
modelling with GIS and RS. Skidmore, A. K., editor, Taylor &
Francis, London, pp. 26-51.
Venugopal, G., 1998. Monitoring the effects of biological
control of water hyacinths using remotely sensed data: a case
study of Bangalore, India. Singapore J. of Tropical Geography,
19(1), pp. 92-105. :
Vrindts, E., De Baerdemaeker, J., & Ramon, H., 2002. Weed
detection using canopy reflection. Precision Agriculture, 3(1),
pp. 63-80.
Welch, R., Madden Remillard, M., & Slack, R. B., 1988. RS
and geographic information system techniques for aquatic
resource evaluation. Photogrammetric Engineering and RS,
54(2), pp. 177-185.
Wilcove, D. S., & L.Y. Chen., 1998. Management costs for
endangered species. Conserv. Biol., 12, pp. 1405-1407.
Williamson, M., 1999, Invasions. Ecography, 22(1), pp. 5-12.
677
Young, J. A., Evans, R. A., & Tueller, P. T., 1976. RS for
optimum herbicide application date for rabbitbrush. J. of Range
Management, 29(4), pp. 342-344.
Zhang; M. Liu X. & O'Neill M. 2002. Spectral
discrimination of Phytophthora infestants infection on tomatoes
based on principal component and cluster analyses. Int. J. of RS,
23(6), pp. 1095-1107.
8. ACKNOWLEDGEMENTS
Financial support by the Stichting voor Wetenschappelijk
Onderzoek van de Tropen (The Netherlands Foundation for the
Advancement of Tropical Research, WOTRO) and International
Institute for Geo-information Science and Earth Observation
(ITC), the Netherlands are greatly acknowledged. We are
grateful to the staff of the ITC library for their support.