Introduction: The Growing Use of Imagery in Fundamental and Applied River Sciences

Fluvial Remote Sensing for Science and Management

Volumn , Issue , 2012, Pages 1-18

  Carbonneau, Patrice E ^a   Piégay, Hervé ^b  

^a DURHAM UNIVERSITY   (United Kingdom)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

Bibliometry; Ecological habitat; Electromagnetic spectrum; Geomorphology; Platform; River management; Sensor; Water sciences

Indexed keywords

EARTH SCIENCES; GEOMORPHOLOGY; SENSORS;

BIBLIOMETRY; ECOLOGICAL HABITATS; ELECTROMAGNETIC SPECTRA; PLATFORM; RIVER MANAGEMENT; WATER SCIENCE;

REMOTE SENSING;

EID: 84886121100     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781119940791.ch1     Document Type: Editorial

References (27)

1. An, S.Q., Zhao, D.H., Cai, Y., Jiang, H., Xu, D.L., and Zhang, W.G. 2011. Estimation of water clarity in Taihu Lake and surrounding rivers using Landsat imagery. Advances in Water Resources, 34(2), 165-173.
2. Aranuvachapun, S., and Walling, D.E. 1988. Landsat-mss radiance as a measure of suspended sediment in the lower Yellow River (Hwang Ho). Remote Sensing of Environment, 25(2), 145-165. 10.1016/0034-4257(88)90098-3.
3. Bertoldi, W., Gurnell, A.M., and Drake, N.A. 2011. The topographic signature of vegetation development along a braided river: Results of a combined analysis of airborne lidar, color air photographs, and ground measurements. Water Resources Research, 47. 10.1029/2010WR010319.
4. Brodie, J., Schroeder, T., Rohde, K., Faithful, J., Masters, B., Dekker, A., Brando, V., and Maughan, M. 2010. Dispersal of suspended sediments and nutrients in the Great Barrier Reef lagoon during river-discharge events: conclusions from satellite remote sensing and concurrent flood-plume sampling. Marine and Freshwater Research, 61(6), 651-664.
5. Buscombe, D., and Masselink, G. 2009. Grain-size information from the statistical properties of digital images of sediment. Sedimentology, 56(2), 421-438.
6. Carbonneau, P.E. 2005. The threshold effect of image resolution on image-based automated grain size mapping in fluvial environments. Earth Surface Processes and Landforms, 30(13), 1687-1693.
7. Carbonneau, P.E., Lane, S.N., and Bergeron, N.E. 2004. Catchment-scale mapping of surface grain size in gravel bed rivers using airborne digital imagery. Water Resources Research, 40(7). 10.1029/2003WR002759.
8. Chuvieco, E., and Alfredo, H. 2010. Fundamentals of Satellite Remote Sensing, CRC Press, Taylor and Francis, Boca Raton. 448 pp.
9. Dunford, R., Hervoue, A., 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 uerial vehicles, ultra-light aerial vehicles, and satellites. Giscience & Remote Sensing, 48(1), 50-73.
10. 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.
11. Fonstad, M.A., and Marcus, W.A. 2010. High resolution, basin extent observations and implications for understanding river form and process. Earth Surface Processes and Landforms, 35(6), 680-698.
12. Forzieri, G., Moser, G., Vivoni, E.R., Castelli, F., and Canovaro, F. 2010. Riparian vegetation mapping for hydraulic roughness estimation using very high resolution remote sensing data fusion. Journal of Hydraulic Engineering-Asce, 136(11), 855-867.
13. Frankl, A., Nyssen, J., De Dapper, M., Haile, M., Billi, P., Munro, R.N., Deckers, J., and Poesen, J. 2011. Linking long-term gully and river channel dynamics to environmental change using repeat photography (Northern Ethiopia). Geomorphology, 129(3-4), 238-251.
14. Johansen, K., Phinn, S., and Witte, C. 2010. Mapping of riparian zone attributes using discrete return LiDAR, QuickBird and SPOT-5 imagery: Assessing accuracy and costs. Remote Sensing of Environment, 114(11), 2679-2691.
15. Jordan, D.C., and Fonstad, M.A., 2005, Two-Dimensional mapping of river bathymetry and power using aerial photography and GIS on the Brazos river, Texas, Geocarto International, 20(3), 1-8.
16. Kinzel, P.J., Wright, C.W., Nelson, J.M., and Burman, A.R. 2007. Evaluation of an experimental LiDAR for surveying a shallow, braided, sand-bedded river. Journal of Hydraulic Engineering-Asce, 133(7), 838-842.
17. Laba, M., Blair, B., Downs, R., Monger, B., Philpot, W., Smith, S., Sullivan, P., and Baveye, P.C. 2010. Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imagery. Remote Sensing of Environment, 114(4), 876-886.
18. Legleiter, C.J., Roberts, D.A., and Lawrence, R.L. 2009. Spectrally based remote sensing of river bathymetry. Earth Surface Processes and Landforms, 34(8), 1039-1059.
19. Lillesand, T.M., Keifer, R.W., and Chipman, J. 2008. Remote Sensing and Image Interpretation 6th Ed., John Wiley and Sons. 804 pp.
20. Liu, D.Z., Chen, C.Q., Gong, J.Q., and Fu, D.Y. 2010. Remote sensing of chlorophyll-a concentrations of the Pearl River Estuary from MODIS land bands. International Journal of Remote Sensing, 31(17-18), 4625-4633.
21. 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.
22. 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.
23. 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.
24. Mertes, L.A.K. 2002. Remote sensing of riverine landscapes. Freshwater Biology, 47(4), 799-816.
25. Sun, Z.Y., Ma, R., and Wang, Y.X. 2009. Using Landsat data to determine land use changes in Datong basin, China. Environmental Geology, 57(8), 1825-1837.
26. Ward, J.V., Robinson, C.T., and Tockner, K. 2002. 'Applicability of ecological theory to riverine ecosystems.' In: International Association of Theoretical and Applied Limnology, Vol 28, Pt 1, Proceedings, R.G. Wetzel, ed., E Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, 443-450.
27. Zhang, J.Q., Xu, K.Q., Watanabe, M., Yang, Y.H., and Chen, X.W. 2004. Estimation of river discharge from non-trapezoidal open channel using QuickBird-2 satellite imagery. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 49(2), 247-260.