(a) forward planning, by the prediction and monitoring of detailed urban land
use classes,
(b) socio-economic differentiation of urban areas for inter-census monitoring
using image surrogate data,
(c) urban catchment studies by combining predicted surface data (and thus run-
off coefficients) with rainfall and terrain data.
Further research will be necessary, however, to capitalize on the urban advan-
tages of high resolution data.
REFERENCES
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BILLINGSLEY, F.C., 1972. Some digital techniques for enhancing ERTS imagery.
Paper presented at the Remote Sensing Symposium, Sioux Falls.
CHRISTENSEN, J.W. & LACHOWSKI, H.M., 1976. Urban area delineation and detec-
tion of change along the urban-rural boundary as derived from Landsat digital
data. Proceedings of the ASP/ASCM Fall Technical Meeting, Seattle, September
1976.
EVERETT, J. & SIMONETT, D.S., 1976. Principles, Concepts, and Philosophical
Problems in Remote Sensing, in Remote Sensing of Environment (Lintz, J. and
Simonett, D.S. (eds)), Addison-Wesley Publishing Co., Reading, Mass..
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FORSTER, B.C., 1981. Some measures of urban residential quality from Landsat
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KONECNY, G., SCHUHR, W. & WU, J., 1982. Investigations of interpretability of
imagery by different sensors and platforms for small scale mapping. Proceedings
International Symposium, Primary Data Acquisition, Comm. I, I.S.P.R.S.,
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LANDINI, A.J. & McLEOD, R.G., 1979. Using population statistics for a first
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MURAI, S., 1974. Estimation of population density in Tokyo districts from
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NASA, 1979. A Land Resources Research Program. National Aeronautics and Space
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NORWOOD, H.C., 1978. Planning in developing countries. Royal Australian
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WELCH, R., 1982. Spatial resolution requirements for urban studies.
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