Hyperspatial Imagery in Riverine Environments - Fluvial Remote Sensing for Science and Management - page 186

Dugdale, S.J., Carbonneau, P.E., and Campbell, D. 2010. Aerial
photosieving of exposed gravel bars for the rapid calibration
of airborne grain size maps. Earth Surface Processes and Land-
forms , 35 (6), 627-639.
Dunford, R., Michel, K., Gagnage, M., Pi egay, H., and Tremelo,
M.L. 2009. Potential and constraints of Unmanned Aerial
Vehicle technology for the characterization of Mediterranean
riparian forest. International Journal of Remote Sensing , 30 (19),
4915-4935.
Fausch, K.D., Torgersen, C.E., Baxter, C.V., and Li, H.W. 2002.
Landscapes to riverscapes: Bridging the gap between research
and conservation of stream fishes. Bioscience , 52 (6), 483-498.
Gao, J. 2009. Digital analysis of Remotely Sensed Imagery ,
McGraw-Hill. 645
Garguet-Duport, B., Girel, J., and Pautou, G. 1995. Contribution
of the ERS-1 data in the remote sensing analysis of floodplain
landscape structure. Comptes Rendus De L Academie Des
Sciences Serie Iii-Sciences De La Vie-Life Sciences , 318 (12),
1253-1259.
Gilvear, D.J. 2004. Patterns of channel adjustment to impound-
ment of the upper River Spey, Scotland (1942-2000). River
Research and Applications , 20 (2), 151-165. 10.1002/rra.741
Gordon, D.J., McMahon, T.A., Finlayson, B.L., Gippel, C.J., and
Nathan, R.J. 2004. Stream Hydrology - An Introduction for
Ecologists , J. Wiley and Sons. 526 pp.
Greenberg, J.A., Dobrowski, S.Z., and Vanderbilt, V.C.
2009. Limitations on maximum tree density using
hyperspatial remote sensing and environmental gradient
analysis. Remote Sensing of Environment , 113 (1), 94-101.
10.1016/j.rse.2008.08.014
Guichard, F., Bourget, E., and Agnard, J.P. 2000. High-resolution
remote sensing of intertidal ecosystems: A low-cost technique
to link scale-dependent patterns and processes. Limnology and
Oceanography , 45 (2), 328-338.
Hall-Beyer, M., Flanders, D., and Pereverzoff, J. 2003. Prelimi-
nary evaluation of eCognition object-based software for cut
block delineation and feature extraction. Canadian Journal of
Remote Sensing , 29 (4), 441-452.
Hedger, R.D., Dodson, J.J., Bourque, J.F., Bergeron, N.E., and
Carbonneau, P.E. 2006. Improving models of juvenile Atlantic
salmon habitat use through high resolution remote sensing.
Ecological Modelling , 197 (3-4), 505-511.
Hedger, R.D., Malthus, T.J., Folkard, A.M., and Atkinson, P.M.
2007. Spatial dynamics of estuarine water surface temperature
from airborne remote sensing. Estuar. Coast. Shelf. Sci. , 71 (3-
4), 608-615. 10.1016/j.ecss.2006.09.009
Hervouet, A., Dunford, R., Piegay, H., Belletti, B., and Tremelo,
M.L. 2011. Analysis of post-flood recruitment patterns in
braided-channel rivers at multiple scales based on an image
series collected by Unmanned Aerial Vehicles, Ultra-light
Aerial Vehicles, and satellites. Giscience & Remote Sensing ,
48 (1), 50-73.
Jacquin, A., Misakova, L., and Gay, M. 2008. A hybrid object-
based

in periurban environment. Landscape Urban Plan , 84 (2),
152-165. 10.1016/j.landurbplan.2007.07.006
Jensen, T., Apan, A., Young, F., and Zeller, L. 2007. Detecting
the attributes of a wheat crop using digital imagery acquired
from a low-altitude platform. Computers and Electronics in
Agriculture , 59 (1-2), 66-77.
Kondolf, G.M. and Piegay, H. 2003. Tools in fluvial geomorphol-
ogy , J. Wiley and Sons. 384 pp.
Lane, S.N. 2000. The measurement of river channel morphol-
ogy using digital photogrammetry. Photogrammetric Record ,
16 (96), 937-957.
Legleiter, C.J. and Goodchild, M.F. 2005. Alternative representa-
tions of in-stream habitat: classification using remote sensing,
hydraulic modeling, and fuzzy logic. International Journal of
Geographical Information Science , 19 (1), 29-50.
Lejot, J., Delacourt, C., Piegay, H., Fournier, T., Tremelo, M.L.,
and Allemand, P. 2007. Very high spatial resolution imagery
for channel bathymetry and topography from an unmanned
mapping controlled platform. Earth Surface Processes and
Landforms , 32 (11), 1705-1725. 10.1002/esp.1595
Lejot, J., Piegay, H., Hunter, P.D., Moulin, B., and Gagnage, M.
2011. Characterisation of alluvial plains by remote sens-
ing: case studies and current stakes. Geomorphologie, relief,
processus et environment , 2 , 157-172.
Lillesand, T.M., Keifer, R.W., and Chipman, J. 2008. Remote
Sensing and Image Interpretation 6th Ed., John Wiley and
Sons. 804 pp.
Lorang, M.S., Whited, D.C., Hauer, F.R., Kimball, J.S., and
Stanford, J.A. 2005. Using airborne multispectral imagery to
evaluate geomorphic work across floodplains of gravel-bed
rivers. Ecological Applications , 15 (4), 1209-1222.
Lyon, J.G., Lunetta, R.S., and Williams, D.C. 1992. Airborne
Multispectral Scanner Data for Evaluating Bottom Sediment
Types and Water Depths of the St Marys River, Michi-
gan. Photogrammetric Engineering and Remote Sensing , 58 (7),
951-956.
Marcus, W.A. and Fonstad, M.A. 2008. Optical remote mapping
of rivers at sub-meter resolutions and watershed extents. Earth
Surface Processes and Landforms , 33 (1), 4-24.
Marcus, W.A. and Fonstad, M.A. 2010. Remote sensing of rivers:
the emergence of a subdiscipline in the river sciences. Earth
Surface Processes and Landforms , 35 (15), 1867-1872.
Marcus, W.A., Legleiter, C.J., Aspinall, R.J., Boardman, J.W.,
and Crabtree, R.L. 2003. High spatial resolution hyperspectral
mapping of in-stream habitats, depths, and woody debris in
mountain streams. Geomorphology , 55 (1-4), 363-380.
McKean, J., Nagel, D., Tonina, D., Bailey, P., Wright, C.W.,
Bohn, C., and Nayegandhi, A. 2009. Remote Sensing of
Channels and Riparian Zones with a Narrow-Beam Aquatic-
Terrestrial LIDAR. Remote Sensing , 1 (4), 1065-1096.
Newcome, L.R. 2004. Unmanned Aviation: A Brief History of
Unmanned Aerial Vehicles , AIAA. 166 pp.
Pacey, R. and Fricker, P. 2005. Forward Motion Compensa-
tion (FMC) - Is it the same in the digital imaging world? classification approach for mapping urban sprawl