Geography Reference
In-Depth Information
Fonstad, M.A. andMarcus, W.A. 2005. Remote sensing of stream
depths with hydraulically assisted bathymetry (HAB) models.
Geomorphology , 72(1-4), 107-120.
Gilvear, D.J., Hunter, P., and Higgins, T. 2007. An experimental
approach to the measurement of the effects of water depth
and substrate on optical and near infra-red reflectance: a field-
based assessment of the feasibility of mapping submerged
instream habitat. International Journal of Remote Sensing ,
28(10), 2241-2256.
Gilvear, D., Tyler, A., andDavids, C. 2004. Detection of estuarine
and tidal river hydromorphology using hyper-spectral and
LIDAR data: Forth estuary, Scotland. Estuarine Coastal and
Shelf Science , 61(3), 379-392.
Goetz, A., Vane, G., Solomon, J.E., and Rock, B.N. 1985. Imaging
spectrometry for Earth remote sensing. Science , 228(4704),
1147-1153.
Gould, R.W., Arnone, R.A., and Sydor, M. 2001. Absorption,
scattering; and remote-sensing reflectance relationships in
coastal waters: Testing a new inversion algorithm. Journal of
Coastal Research , 17, 328-341.
Green, R.O. 1994. AVIRIS Operational Characteristics.
Pasadena, CA: Jet Propulsion Lab, 10 pp.
Hall, R.K., Watkins, R.L., Heggem, D.T., Jones, K.B., Kauf-
mann, P.R., Moore, S.B., and Gregory, S.J. 2009. Quantifying
structural physical habitat attributes using LIDAR and hyper-
spectral imagery. Environmental Monitoring and Assessment ,
159, 63-83.
Harken, J. and Sugumaran, R. 2005. Classification of Iowa
wetlands using an airborne hyperspectral image: a compar-
ison of the spectral angle mapper classifier and an object-
oriented approach. Canadian Journal of Remote Sensing , 31(2),
167-174.
Hedley, J.D. andMumby, P.J. 2003. A remote sensingmethod for
resolving depth and subpixel composition of aquatic benthos.
Limnology and Oceanography , 48, 480-488.
Huguenin, R.L., Wang, M.H., Biehl, R., Stoodley, S., and Rogers,
J.N. 2004. Automated subpixel photobathmetry and water
quality mapping. Photogrammetric Engineering and Remote
Sensing , 70(1), 111-125.
Jollineau, M.Y. and Howarth, P.J. 2008. Mapping and inland
wetland complex using hyperspectral imagery. International
Journal of Remote Sensing , 29(12), 3609-3631.
Karaska, M.A., Huguenin, R.L., Beacham, J.L.,Wang, M., Jensen,
J.R., and Kaufman, R.S. 2004. AVIRIS measurements of
chlorophyll, suspended minerals, dissolved organic carbon,
and turbidity in the Neuse River, North Carolina. Photogram-
metric Engineering and Remote Sensing , 70(1), 125-133.
Kutser, T., Dekker, A.G., and Skirving, W. 2003. Modeling spec-
tral discrimination of Great Barrier Reef benthic communities
by remote sensing instruments. Limnology and Oceanography ,
48, 497-510.
Lee, Z., Carder, K.L., Mobley, C.D., Steward, R.G., and Patch,
J.S. 1999. Hyperspectral remote sensing for shallow waters:
Deriving bottomdepths andwater properties by optimization.
Applied Optics , 38, 3831-3843.
Legleiter, C.J. (2003. Spectrally driven classification of high
spatial resolution, hyperspectral imagery: A tool for mapping
in-stream habitat. Environmental Management , 32, 399-411.
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
Geographic Information Science , 19(1), 29-50.
Legleiter, C.J., Marcus, W.A., and Lawrence, R. 2002. Effects of
sensor resolution on mapping in-stream habitats. Photogram-
metric Engineering and Remote Sensing , 68, 801-807.
Legleiter, C.J. and Roberts, D.A. 2005. Effects of channel mor-
phology and sensor spatial resolution on image-derived depth
estimates. Remote Sensing of Environment , 95, 231-247.
Legleiter, C.J. and Roberts, D.A. 2009. A forward image model
for passive optical remote sensing of river bathymetry. Remote
Sensing of Environment , 113, 1025-1045.
Legleiter, C.J., Roberts, D.A., and Lawrence, R.L. 2009. Spec-
trally based remote sensing of river bathymetry. Earth Surface
Processes and Landforms , 34, 1039-1059.
Legleiter, C.J., Roberts, D.A., Marcus, W.A., and Fonstad, M.A.
2004. Passive optical remote sensing of river channel mor-
phology and in-stream habitat: Physical basis and feasibility.
Remote Sensing of Environment , 93, 493-510.
Lyon, J.G. and Hutchinson, W.S. 1995. Application of a radio-
metric model for evaluation of water depths and verification
of results with airborne scanner data. Photogrammetric Engi-
neering and Remote Sensing , 61, 161-166.
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, Michigan. Pho-
togrammetric Engineering and Remote Sensing , 58, 951-956.
Lyzenga, D.R. 1978. Passive remote-sensing techniques for map-
ping water depth and bottom features. Applied Optics , 17,
379-383.
Marcus, W.A. 2002. Mapping of streammicrohabitats with high
spatial resolution hyperspectral imagery. Journal of Geograph-
ical Systems , 4, 113-126.
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, 4-24.
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, 363-380.
Maritorena, S., Morel, A., and Gentili, B. 1994. Diffuse-
reflectance of oceanic shallow waters - Influence of water
depth and bottom albedo. Limnology and Oceanography , 39,
1689-1703.
Mertes, L.A.K. 2002. Remote sensing of riverine landscapes.
Freshwater Biology , 47, 799-816.
Mertes, L.A.K., Smith, M.O., and Adams, J.B. 1993. Estimating
suspended sediment concentrations in surface waters of the
Amazon RiverWetlands fromLandsat Images. Remote Sensing
of Environment , 43, 281-301.
Search WWH ::




Custom Search