Classifying total and effective impervious surfaces for Urban hydrologic modeling

World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress

Volumn , Issue , 2005, Pages 105-

  Han, Woosuk ^a   Burian, Steven J ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DRAINAGE CHANNELS; DRAINAGE NETWORKS;

DATA REDUCTION; GEOGRAPHIC INFORMATION SYSTEMS; MAXIMUM LIKELIHOOD; TOPOGRAPHY; URBAN PLANNING;

WATERSHEDS;

EID: 37249053839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40792(173)105     Document Type: Conference Paper

References (7)

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2. Deguchi, C. and Sugio, S. (1994). "Estimations for percentage of impervious area by the use of satellite remote sensing imagery." Water Science and Technology, 29(1), 135-144.
3. Fankhauser, R. (1999). "Automatic determination of imperviousness in urban areas from digital orthophotos." Water Science and Technology, 39(9), 81-86.
4. Sawaya, K. E., Olmanson, L. G., Heinert, N. J., Brezonik, P. L., and Bauer, M. E. (2003). "Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery." Remote Sensing of Environment, 88(1), 144-156.
5. Schueler, T.R. (1994). "The importance of imperviousness." Watershed Protection Techniques, 1(3), 100-111.
6. Schultz, G. A. and Engman, E. T. (2000). Remote sensing in hydrology and water management, Springer, New York.
7. Shackelford, A. K. and Davis, C.H. (2003). "A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas." IEEE Transaction on Geoscience and Remote Sensing, 41(10), 2354-2363.