Geography Reference
In-Depth Information
to recent advances (structural parameters from LiDAR
or radar data, very high resolution, ultra light vehicles)?
For this, the (human and financial) means mobilised by
managers are fundamental and concern funding for data
acquisition and analysis, software, hardware, field work
and data storage.
using terrestrial laser scanning. Water Resources Research , 46,
W06510
Apan, A.A., Raine, S.R., and Paterson, M.S. 2002. Mapping and
analysis of changes in the riparian landscape structure of the
Lockyer Valley catchment, Queensland, Australia. Landscape
and Urban Planning 59, 43-57.
Arroyo, L.A., Johansen, K., Armston, J., and Phinn, S. 2010.
Integration of LiDAR and QuickBird imagery for mapping
riparian biophysical parameters and land cover types in Aus-
tralian tropical savannas. Forest Ecology and Management 259,
598-606.
Beaudoin, A., Le Toan, T., Goze, S., Nezri, E., Lopez, A., Mougin,
E., Hsu, C.C., Han, H.C., Kong, J., and Shin R.T. 1994.
Retrieval of forest biomass from SAR dat. International Journal
of Remote Sensing , 15, 2777-2796.
Bawazir, A.S., Samani, Z., Bleiweiss, M., Skaggs, R., and
Schmugge T. 2009. Using ASTER satellite data to calculate
riparian evapotranspiration in the Middle Rio Grande,
New Mexico. International Journal of Remote Sensing 30,
5593-5603.
Belward, A.S. and Valenzuela, C.R. (1991). Remote sensing and
geographical information systems for resource management in
developing countries . Springer, 520 p.
Bendix, J. and Stella, J.C. in press. Riparian vegetation and the
fluvial environment: a biogeographic perspective. In Treatise
on Geomorphology 12: Ecogeomorphology (D. Butler and C.
Hupp, Eds.) . Elsevier , San Diego .
Boyd, D.S. and Danson, F.M. 2005. Satellite remote sensing
of forest resources: three decades of research development.
Progress in Physical Geography , 29: 1-26.
Brierley, G. and Fryirs, K. (eds) (2008). River futures: an integra-
tive scientific approach to river repair . Island Press, Washington,
DC, 328 p.
Brisco, B., Touzi, R., Van der Sanden, J.J., Charbonneau, F., Pultz,
T.J., and D'Iorio, M. 2008. Water resource applications with
RADARSAT-2 - a preview. International Journal of Digital
Earth 1, 130-147.
Brohman, R., Bryant, L., (eds.) 2005. Existing vegetation classifi-
cation and mapping technical guide. Gen. Tech. Rep. WO-67.
Washington, DC: U.S. Department of Agriculture Forest Ser-
vice, Ecosystem Management Coordination Staff. 305 p.
Brooks, R., McKenney-Easterling, M., Brinson, M., Rhein-
hardt, R., Havens, K., O'Brien, D., Bishop, J., Rubbo, J.,
Armstrong, B., and Hite, J. 2009. A Stream-Wetland-Riparian
(SWR) index for assessing condition of aquatic ecosystems in
small watersheds along the Atlantic slope of the eastern U.S.
Environ Monit Assess 150: 101-117
Butera, M.K. 1983. Remote sensing wetlands. IEEE Trans. Geosci.
Remote Sensing 21, 383-392.
Charlton, J. 2000. Kaw River Valley Scenes Revisited after 130
Years. Transactions of the Kansas Academy of Science 103,
1-21.
Claggett, P.R., Okay, J.A., and Stehman, S.V. 2010. Monitoring
regional riparian forest cover change using stratified sampling
Acknowledgements
The authors are grateful to reviewers for their many useful
suggestions and corrections. The authors are also grateful
to the French Office National des Forets for providing
data (Arve River).
References
Adam, E., Mutanga, O., and Rugege, D. 2010. Multispectral and
hyperspectral remote sensing for identification and mapping
of wetland vegetation: a review. Wetlands Ecol. Manage . 18,
281-296.
Aguiar, F.C. and Ferreira, M.T. 2005. Human-disturbed land-
scapes: effects on composition and integrity of riparian woody
vegetation in the Tagus River basin, Portugal. Environmental
Conservation 32, 30-41.
Akasheh, O.Z., Neale, C.M.U., and Jayanthi, H. 2008. Detailed
mapping of riparian vegetation in the middle Rio Grande
River using high resolution multi-spectral airborne remote
sensing. Journal of Arid Environments 72, 1734-1744.
Alber, A. and Piegay, H. 2011. Spatial disaggregation and aggre-
gation procedures for characterizing fluvial features at the
network-scale: Application to the Rhone basin (France). Geo-
morphology 125, 343-360.
Alencar-Silva, T. and Maillard, P. 2010. Assessment of bio-
physical structure of riparian zones based on segmentation
method, spatial knowledge and texture analysis. In: Wagner
W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years
ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII,
Part 7B.
Alexander, R. and Millington, A.C. (2000). Vegetation Mapping:
From Patch to Planet .Wiley,339p.
Antonarakis, A.S., Richards, K.S., and Brasington, J. 2008a.
Object-based land cover classification using airborne LiDAR.
Remote Sensing of Environment 112, 2988-2998.
Antonarakis, A.S., Richards, K.S., Brasington, J., Bithell, M., and
Muller, E. 2008b. Retrieval of vegetative fluid resistance terms
for rigid stems using airborne LiDAR. Journal of Geophysical
Research 113, G02S07.
Antonarakis, A.S., Richards, K.S., Brasington, J., and Bithell, M.
2009. Leafless roughness of complex tree morphology using
terrestrial LiDAR. Water Resources Research 45, W10401.
Antonarakis, A.S., Richards, K.S., Brasington, J., and Muller, E.
2010. Determining leaf area index and leafy tree roughness
 
Search WWH ::




Custom Search