Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images

Journal of Environmental Management

Volumn 90, Issue 7, 2009, Pages 2219-2225

  Bustamante, Javier ^a   Pacios, Fernando ^a   Díaz Delgado, Ricardo ^a   Aragonés, David ^a  

^a DEPARTMENT OF CONSERVATION BIOLOGY   (Spain)

Author keywords

GAM; GLM; Marshland; Remote sensing; Water depth; Water turbidity; Wetlands

Indexed keywords

FORECASTING; REFLECTION; TURBIDITY; WETLANDS;

BEST MODEL; GAM; GLM; GROUND TRUTH DATA; LANDSAT-5; MARSHLAND; REMOTE-SENSING; SOIL REFLECTANCE; WATER DEPTH; WATER TURBIDITY;

REMOTE SENSING;

LANDSAT THEMATIC MAPPER; MARSH; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES; TURBIDITY; WATER DEPTH; WETLAND;

ARTICLE; CONTROLLED STUDY; ENVIRONMENTAL CHANGE; HISTORY; IMAGING; MARSH; PREDICTION; SOIL; TURBIDITY; VARIANCE; VEGETATION; WATER QUALITY; WETLAND;

ANDALUCIA; DONANA; EURASIA; EUROPE; GUADALQUIVIR RIVER; SOUTHERN EUROPE; SPAIN;

EID: 67349103393     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2007.08.021     Document Type: Article

References (12)

1. Baltsavias E.P. Airborne laser scanning: existing systems and firms and other resources. ISPRS Journal of Photogrammetry & Remote Sensing 54 (1999) 164-198
2. Bustamante J., Díaz-Delgado R., and Aragonés D. Determinación de las características de aguas someras en las marismas de Doñana mediante teledetección. Revista de Teledetección 24 (2005) 107-111
3. Díaz-Delgado, R., Bustamante, J., Aragonés, D., Pacios, F., 2006. Determining water body characteristics of Doñana shallow marshes through remote sensing. In: IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006, July 31 2006-August 4 2006, IGARSS 2006, pp. 3662-3663, doi:10.1109/IGARSS.2006.938.
4. García Novo F., and Marín Cabrera C. Doñana: Agua y Biosfera. Doñana 2005 (2006), Confederación Hidrográfica del Guadalquivir, Ministerio de Medio Ambiente, Madrid
5. Guenther G.C., Cunningham A.G., LaRocque P.E., and Reid D.J. Meeting the accuracy challenge in airborne LIDAR bathymetry. Proceedings of the 20th EARSeL Symposium: Workshop on LIDAR Remote Sensing of Land and Sea, June 16-17, Dresden, Germany (2000), European Association of Remote Sensing Laboratories (paper #1 on CD), 23 pp.
6. Hastie T.J., and Tishirani R.J. Generalized Additive Models (1990), Chapman & Hall, London
7. Junta de Andalucía. Ortofotografía digital de Andalucía (Color). Color Photogrammetric flight 1:60,000 (1998-1999) (2003), Junta de Andalucía
8. MacCullagh P., and Nelder J.A. Generalized Linear Modelling. second ed. (1989), Chapman & Hall, London
9. Mathsoft Inc. S-Plus User Guide. Data Analysis (1999), Products Division, Mathsoft Inc., Seattle
10. Pons X., and Solé-Sugrañes L. A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data. Remote Sensing of Environment 48 (1994) 191-204
11. Wang Ch.-K., and Philpot W.D. Using airborne bathymetric LIDAR to detect bottom type variation in shallow waters. Remote Sensing of Environment 106 (2007) 123-135
12. Yamagata Y., Wiegand C., Akiyama T., and Shibayama M. Remote Sensing of Environment 26 (1988) 241-251