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Distribution of Relative Evapotranspiration Availability using Satellite Data in Daegu Metropolitan  

Kim, Hae-Dong (Department of Environmental Conservation, Keimyung University)
Im, Jin-Wook (Department of Environmental Conservation, Keimyung University)
Lee, Soon-Hwan (Research institute for Basic Sciences, Pusan National University)
Publication Information
Journal of the Korean earth science society / v.27, no.6, 2006 , pp. 677-686 More about this Journal
Abstract
Surface evapotranspiration is one of the most important factors to determine the surface energy budget, and its estimation is strongly related with the accuracy of weather forecasting. Surface evapotranspiration over Daegu Metropolitan was estimated using high resolution LANDSAT TM data. The estimation of surface evapotranspiration is based on the relationship between surface radiative temperature and vegetation index provided by a TM sensor. The distribution of NDVI (Normalized Difference of Vegetation Index) corresponds well with that of land-used in Deagu Metropolitan. The temperature of several part of downtown in Deagu metropolitan is lower in comparison with the averaged radiative temperature. This is caused by the high evapotranspiration from dense vegetation like DooRyu Park in Deagu Metropolitan. But, weak evapotranspiration availability is distinguished over the central part of downtown and the difference of evapotranspiration availability on industrial complexes and residential area is also clear.
Keywords
evapotranspiration availability; LANDSAT TM; radiative temperature; Vegetation Index;
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1 이미선, 서애숙, 이충기, 1996, NOAA/AVHRR 자료 응용기법 연구. 대한원격탐사학회지, 12, 60-80
2 Boegh, E., Soegaard, H., Hanan, N., Kabat, P., and Lesch, L., 1998, A remote sensing study of the NDVI-Ts relationship and the transpiration from sparse vegetation in the Satellite based on high resolution satellite data. Remote Sensing of Environment, 69, 224-240   DOI   ScienceOn
3 Friedl, M.A. and Davis, F.W., 1994, Sources of variation in radiometric surface temperature over a tallgrass prairie. Remote Sensing Environment, 48, 1-17   DOI   ScienceOn
4 Goetz, S.J., 1997, Multisensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. International Journal of Remote Sensing, 18, 71-94   DOI
5 Liang, S., 2000, Narrowband to broadband conversions of land surface albedo I algorithms. Remote Sensing of Environment, 76, 213-238   DOI   ScienceOn
6 Prihodko, K. and Goward, S.N., 1997, Estimation of air temperature from remotely sensed surface observations. Remote Sensing of Environment, 60, 335-346   DOI   ScienceOn
7 Taconet, O., Bernard, R., and Vidal-Madjar, D., 1986, Evapotranspiration over an agricultural region using a surface flux/temperature model based on NOAAAVHRR data. Journal of Climate and Applied Meteorology, 25, 284-307   DOI
8 Chander, G. and Markham, B., 2003, Revised LANDSAT 5 TM Radiometric Calibration Precedures and Post-Calibration Dynamic Ranges. IEEE Transcations on Geoscience and Remote Sensing, 41, 2674-2677   DOI   ScienceOn
9 Lee, S.-H., 1998, Numerical studies on impacts of topography and heterogeneous surface moisture estimated by satellite data on the local circulations. Ph.D. Thesis, University of Tsukuba. 121 p
10 한진수, 이부용, 2005, 해남 농경지에서의 자유 수면 증발 관측과 해석. 한국농림기상학회지, 7, 91-97
11 Nemani, R.R. and Running, S.W., 1989, Estimation of regional surface resistance to evapotranspiration from NDVI and thermal IR AVHRR data. Journal of Applied Meteorology, 28, 276-284   DOI
12 Kim, J. and Yeo, C., 2005, The relationship among land use, vegetation and surface temperature in urban area. Journal of Korean Association of Geographic Information Studies, 8, 21-30
13 한국기상학회, 2001, 대기과학개론, 시그마프레스, 서울, 406 p
14 Nemani, R.R. and Running, S.W., 1997, Land cover characterization using multi-temporal red, near-IR, and thermal- IR data from NOAA/AVHRR. Ecological Applications, 7, 79-90   DOI   ScienceOn
15 Sandholt, I., Rasmussen, K., and Andersen, J., 2002, A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213-224   DOI   ScienceOn
16 Gillies, R.R., Carlson, T.N., Gui, J., Kustas, W.P., and Humes, K.S., 1997, A verification of the triangle method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index and surface radiant temperature. International Journal of Remote Sensing, 18, 3145-3166   DOI
17 Wan, Z., Wang, P., and LI, X., 2004, Using MODIS LAND Surface temperature and normalized difference vegetation index predicts for monitoring drought in the southern Great Plains, USA. International Journal of Remote Sensing, 10, 61-72