Geography Reference
In-Depth Information
and multiresolution imagery. Journal of the American Water
Resources Association 46, 334-343.
Cloude, S.R. and Pottier, E. 1997. An entropy based classification
scheme for land applications of Polarimetric SAR. IEEE Trans.
Geoscience Rem. Sens . 35, 68-78.
Corenblit, D., Tabacchi, E., Steiger, J., and Gurnell, A.M. 2007.
Reciprocal interactions and adjustments between fluvial land-
forms and vegetation dynamics in river corridors: A review
of
looking digital video. Canadian Journal of Remote Sensing 29,
556-563.
Dufour, S. and Pont, B. 2006. Protocole de suivi des forets
alluviales: l'experience du reseau des reserves naturelles de
France. Revue Forestiere Fran¸ aise LVIII, 45-60.
Dufour, S. and Piegay, H. 2009. From the myth of a lost paradise
to targeted river restoration: forget natural references and
focus on human benefits. River Research and Applications 25,
568-581.
Dunford, R., Michel, K., Gagnage, M., Piegay, H. and Tremelo,
M.L. 2009. Potential and constraints of UAV technology
for the characterisation of Mediterranean riparian forest.
International Journal of Remote Sensing 30, 4915-4935.
Ehlers, M., Gahler, M., and Janowsky, R. 2003. Automated
analysis of ultra high resolution remote sensing data for
biotope type mapping: new possibilities and challenges. ISPRS
Journal of Photogrammetry & Remote Sensing 57, 315-326.
Everitt, J.H., Fletcher, R.S., Elder, H.S., and Yang, C. 2007. Map-
ping giant salvinia with satellite imagery and image analysis.
Environ. Monit. Assess . 139, 35-40.
Farid, A., Goodrich, D.C., and Sorooshian, S. 2006. Using air-
borne LiDAR to discern age classes of cottonwood trees in a
riparian area. West.J.Appl.For . 21, 149-158.
Farid, A., Goodrich, D.C., Bryant, R., and Sorooshian, S. 2008.
Using airborne lidar to predict Leaf Area Index in cottonwood
trees and refine riparian water-use estimates. Journal of Arid
Environments 72, 1-15.
Ferreira, M.T., Aguiar, F.C., and Nogueira, C. 2005. Changes in
riparian woods over space and time: Influence of environment
and land use. Forest Ecology and Management 212, 145-159
Franklin, S.E. and Wulder, M.A. 2002. Remote sensing methods
in medium spatial resolution satellite data land cover clas-
sification of large areas. Progress in Physical Geography 26,
173-205.
Freeman, A. and Durden, SLA. (1998). Three-component scat-
tering model for polarimetric SAR data. IEEE Transactions on
Geoscience and Remote Sensing , 36(3): 963-973
Friedman, J.M. and Lee, V.J. 2002. Extreme floods, channel
change, and riparian forests along ephemeral streams. Ecolog-
ical Monographs 72, 409-425.
Ge, S., Carruthers, R., Gong, P., and Herrera, A. 2006. Texture
analysis for mapping Tamarix parviflora using aerial pho-
tographs along the Cache Creek, California. Environ. Monit.
Assess . 114, 65-83.
Geerling, G.W., Ragas, A.M.J., Leuven, R., van den Berg, J.H.,
Breedveld, M., Liefhebber, D., and Smits, A.J.M. 2006. Suc-
cession and rejuvenation in floodplains along the river Allier
(France). Hydrobiol . 565, 71-86.
Geerling, G.W., Vreeken-Buijs, M.J., Jesse, P., Ragas A.M.J., and
Smits A.J.M. 2009. Mapping river floodplain ecotopes by seg-
mentation of spectral (CASI) and structural (LiDAR) remote
sensing data. River Research and Applications 25, 795-813.
Gen¸, L., Dewitt, B., and Smith, S. 2004. Determination of
wetland vegetation height with LiDAR. Turk.J.Agric.For . 28,
63-71.
complementary
approaches. Earth-Science Review 84,
56-86.
Coroi, M., Sheehy Skeffington, M., Giller, P., Gormally, M., and
O'Donovan, G. 2006. Using GIS in the mapping and analysis
of the landscape and vegetation patterns along streams in
Southern Ireland. Biology and Environment: Proceedings of
the Royal Irish Academy 106B, 287-300.
Congalton, R.G., Birch, K., Jones, R., and Schriever, J. 2002.
Evaluating remotely sensed techniques for mapping ripar-
ian vegetation. Computers and Electronics in Agriculture 37,
113-126.
Corbane, C., Raclot, D., Jacob, F., Albergel, J., and Andrieux,
P. 2006. Remote sensing of soil surface characteristics from a
multiscale classification approach. Catena 75, 308-318.
Cunningham, S.C., Mac Nally, R., Read, J., Baker, P.J., White,
M., Thomson, J.R., and Griffioen, P. 2009. A robust technique
for mapping vegetation condition across a major river system.
Ecosystems 12, 207-219.
Davis, P.A., Staid, M.I., Plescia, J.B., and Johnson, J.R. 2002. Eval-
uation of airborne image data for mapping riparian vegetation
within the Grand Canyon. USGS Open-File Report 02-470,
available on line (1/1/2011) at geopubs.wr.usgs.gov/open-
file/of02-470.
De Rose, R.C., Barrett, D., Marks, A., Caitcheon, G., Chen, Y.,
Simon, D., Lymburner, L., Douglas, G., and Palmer, M. 2005.
Regional patterns of riparian vegetation, erosion and sediment
transport in the Ovens River basin. CSIRO Land and Water
Client Report, Canberra, Australia, 26 p.
Debruxelles, N., Claessens, H., Lejeune, P., and Rondeux, J. 2009.
Design of a watercourse and riparian strip monitoring system
for environmental management. Environ. Monit. Assess . 156,
435-450.
Dieck, J.J. and Robinson, L.R. 2004. Techniques and methods
book 2, Collection of environmental data, Section A, Biolog-
ical Science, Chapter 1, General classification handbook for
floodplain vegetation in large river systems: U.S. Geological
Survey, Techniques and Methods 2 A-1, 52 p.
DiPietro, D., Ustin, S.L., Underwood, E.C., Olmstead, K., and
Scheer, G.J. 2002. Mapping the invasive riparian weed Arundo
donax (Giant Reed) using AVIRIS. in Eleventh JPL Air-
borne Visible Infrared Imaging Spectrometer (AVIRIS) Work-
shop . Jet Propulsion Laboratory, Pasadena, CA. Available on
http://cstars.ucdavis.edu
Dowling, R. and Accad, A. 2003. Vegetation classification of the
riparian zone along the Brisbane River, Queensland, Australia,
using light detection and ranging (LiDAR) data and forward
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