International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
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be helpful to provide valuable information and
recommendations to the local agencies for assessing the UHI in
the observed cities.
The future study will detect UHI phenomena, land use changed
over specified periods of time. lt will consider an
interdisciplinary approach to explain the driving forces behind
UHI effects; land-use and land-cover changes in the selected
study sites. If all roofs were cooler the energy savings in many
cities could be tens of millions of dollars a year. Lower
temperatures would decrease the production of smog, which
has many cities out of compliance with clean-air ‚standards.
Computer simulations will be carried out to estimate the
citywide lowering of temperature and reduction of smog that
deployment of whiter materials may achieve. The study also
would develop a common protocol for methods and data sets,
aimed at providing a framework for comparative studies. Policy
related to urban planning such as urban forest development,
roof garden reflective roof and road, transport planning etc.
could be formulated. Effective mitigation methods can be
suggested after finding the effects of UHI in the study areas.
REFERENCES
Babu Madhavan, B., and Sachio Kubo., 1997. Multi-sensor
approaches to identify the effects of urban heat islands. In
Proceedings of International Symposium on Monitoring and
Management of Urban Heat Island, 19-20 November, Keio
University, Japan, 220-241.
Balling, R.C., Jr., and Brazel, S.W., 1988. High Resolution
surface temperature patterns in a complex urban terrain. Phot.
Eng. Rem. Sens. 54:1289-1293.
Bartolucci and Mao Chang., 1988. Look-up tables to convert
Landsat TM thermal IR data to water surface temperatures.
Geocarto Int. 3:61-67.
Brest, C.L., 1987. Seasonal albedo of an urban/rural landscape
from satellite observations. J. App. Meteo. 26:1169-1187.
Carnahan, W.H., and Larson, R.C., 1990. An analysis of urban
heat sinks. Remote Sens. Environ. 33:65-71.
Carlson, T.N., Augustine, J.A., and Boland, F.E., 1977.
Potential application of satellite temperature measurements in
the analysis of land use over urban areas. Bulletin of the Am.
Meteo. Soci. 58:1301-1303.
Carlson, T.N., Dodd, J.K., Benjamin, S.G., and Cooper, J.N.,
1981. Satellite estimation of the surface energy balance,
moisture availability and thermal inertia. J. Appl. Meteo. 20:
67-87.
Caselles, V., Lopez Garcia, M.J., Melia, J., and Perez Cueva,
A.J., 1991. Analysis of heat-island effect of the city of Valencia,
Spain, through air temperature transects and NOAA satellite
data. Theo. Appl. Clima. 43:195-203.
Desjardins, R.,JJames Gray and Ferdinand Bonn., 1990.
Atmospheric corrections for remotely sensed thermal data in a
cool humid temperature zone. Int. J. Remote Sens.
11:1369-1389.
Gallo, K.P., and Daughtry, C.S.T., 1987. Differences in
vegetation indices for simulated Landsat-5 MSS and TM,
NOAA-9 AVHRR, and SPOT-1 sensor systems. Remote Sens.
Environ., . 23:439-452.
48
Gallo, K.P., McNab, A.L., Karl, T.R., Brown, J.F., Hood, J.J.,
and Tarpley, J.D., 1993a. The use of vegetation index for
assessment of the urban heat island effect. Int. J. Remote
Sens. 14:2223-2230.
Gallo, K.P., McNab, A.L., Karl, T.R., Brown, J.F., Hood, J.J.
and Tarpley, J.D., 1993b. The use of NOAA AVHRR data for
the assessment of the Urban Heat Island Effect. J. App. Meteo..
32: 899-908.
Gallo, K.P., Tarpley, J.D., McNab, A.L., and Karl, T.R., 1995.
Assessment of Urban heat islands: a satellite perspective.
Atm. Res. 37:37-43.
Gallo, K.P., and Tarpley, J.D., 1996. The comparison of
vegetation index and surface temperature composites for urban
heat-island analysis. Int. J. Remote Sens. 17:3071-3076.
Goward, S.N., 1981. Thermal behaviour of urban landscapes
and the urban heat island. Physical Geography, Remote Sens.
Environ. 2:19-33.
Goward, S. N., Cruickshanks, G. D., and Hope, A. S., 1985.
Observed relation between thermal emission and reflected
spectral radiance of a complex vegetated landscape. Remote
Sens. Environ. 18:137-146.
Goward, S. N., and Hope, A. S., 1989. Evapotranspiration from
combined reflected solar and emitted terrestrial radiation:
Preliminary FIFE results from AVHRR data. Adv. Space Res.
9:239-249.
Karl, T. R., Diaz, H.F., and Kukla, G., 1988. Urbanization: Its
detection and effect in the United States climate record. J.
Climate, 1:1099-1123.
Kidder, S.Q., and Wu, H., 1987. A multispectral study of the St.
Louis area under snow-covered conditions using
NOAA-AVHRR data. Remote Sens. Environ., 22:159-172.
Kondo, J., 1994. Meteorology for water environment,
Asakura-shoten, 348pp.
Lathrop, R. G. and Lillesand, T. M., 1987. Calibration of
Thematic Mapper thermal data for water surface temperature
mapping:case study on the Great Lakes. . Remote Sens.
Environ. 9:297-307.
Malaret, E., Bartolucci, L. A., Lozano, D. G., Anuta, P. E., and
McGillem, C. D., 1985. Landsat-4 and Landsat-5 Thematic
Mapper data quality analysis. Phot. Eng. Rem. Sens.
9:1407-1416.
Matson, M., McClain, E.P., McGinnis, D.F. Jr. and Pritchard,
J.A., 1978. Satellite detection of urban heat islands. Monthly
Weather Review, 106: 1725-1734.
Nemani, R.R., and Running , S. W., 1989. Estimation of
regional surface resistance to evapotranspiration from NDVI
and Thermal-IR AVHRR data. J. App. Meteo. 28: 276-284.
Rao, P.K., 1972. Remote sensing of Urban ‘heat islands’ from
environmental satellite. Bull. Am. Meteo. 53: 647-648.
Roth, M., Oke, T.R., and Emery, W.J., 1989. Satellite-derived
urban heat islands from three coastal cities and the utilization
of such data in urban climatology. Int. J. Remote Sens.
10:1699-1720.
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