Satellite imagery is used to predict urban sprawl and its impact on surface hydrology

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2002, Pages 1920-1922

  Carlson, T N ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROLOGY; IMAGE ANALYSIS; LAND USE; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; RUNOFF; SATELLITES; WATERSHEDS;

SATELLITE IMAGERY; SURFACE HYDROLOGY; URBAN SPRAWL;

REMOTE SENSING;

EID: 0036028723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Clarke, K. and L. Gaydos, 1998. Loose-coupling a cellular automaton model and GIS: long-term urban growth predictions for San Francisco and Washington/Baltimore. Int. J. Geographical Information Science, 12, 699-714.
2. Hebble, E., T. N. Carlson and K. Daniel, 2001: Impervious surface area and residential housing density: A satellite perspective, Geocarto International, 16, 13-18.
3. Stankowski, S. J., 1972, Population density as an indirect indicator of urban and suburban land surface modification, USGS Professional Report P, 800B, B219-B224.
4. Slack, R.B. and R. Welch, 1980. Soil Conservation Service runoff curve number estimates from Landsat data. Water Resources Bulletin, 16, 887-893.
5. Sheeder, S. A., J. D. Ross and T. N. Carlson, 2002: Dual urban and rural hydrograph signals in three small watersheds, Journal of American Waterr Resources Association (in press).
6. Arthur, S. T., 2001: A satellite based scheme for predicting the effects of land cover change on local microclimate and surface hydrology: Development of an operation al regional planning tool., PhD Thesis, Dept. of Meteorology, Penn State University, University Park, PA., 148pp.