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The extraction method of surface temperature in agricultural area using Satellite Remote Sensing and GIS


Conclusions
This study aims to analyze the meteorological environmental around Ansung watershed area, extracting human and physical environment factors in the rural area, using Landsat TM image and GIS. The conclusions are summarized as followings.
  1. Average surface temperature extracted Landsat TM band 6 to the period, 21.68℃ in 1987, 23.16℃ in 1993, Ansung-eup and Sungwhan-Eup in the basins are showing the highest temperature distribution zone, generally barren, field > paddy field > forest > stream in the order named.


  2. Not only Due to the area decrease in forest, paddy field and area regions, the temperature is higher, but also due to the area increase in urban, barren area, the temperature rises from 0.03℃ to the minimum to 1.83℃ to the maximum. On the basis of the rising of surface temperature by landcover change like this, the heat environment change pattern in rural area because of urbanization is identified.


  3. As a result of analyzing temperature distribution characteristics between the topographic factors and NDVI, the average temperature is according to elevation rising, while NDVI is high. The region where is high in temperature is normally low in slope, elevation and NDVI. This is mainly because the high temperature zone forms in plain low zone except the partial forest zones.


  4. Between The surface temperature and NDVI distinctively negative correlation exists, as result of regression analysis in two periods the relation of NDVI and surface temperature on the basis of average confidence 69%.


  5. After calculating the characteristic factors to each basin, the average surface temperature nearby Ansung watershed extracted from Landsat TM band 6. Geumkwang-myeon, which has high drainage density in the basin, has 20.5℃, Gongdo-myeon, which has low drainage density, 23.6℃.


  6. According as the population increases forming residential and industrial zone by urbanization phenomenon, the temperature is rising, while in proportion to decrease of population, the temperature is low.


  7. As a consequence of analyzing spatial distribution characteristic of high temperature area nearby Ansung watershed such as Ansung-city, Cheonan-city, which has large population and the characteristic of urbanization, showed high surface temperature distribution zone, and to the landcover, urban area and industrial zones in the suburbs have high temperature.


    8. Through this study, it be could clarified the surface temperature characteristic of spatial distribution for urbanization in the rural area, using satellite image and GIS. Also, in the near future it will be expected the basic data and foundation construction for formation technique development concerned with more detail meteorological information in agriculture area.
Reference
  1. Y.S.Kim, A.S.Suh, M.H.Jo. 1998. Introduction of remote sensing. Dong-A technique press co.


  2. K.J.Lee, 2002. Extraction method of temperature distribution properties in urban area using remotely sensed data and GIS, Thesis of master degree of Kyungil University.


  3. M.H.Jo, J.H. Shin, K.J.Lee, A.S.Seo, 2001, Spatial characteristic analysis of temperature environment in rural area using RS and GIS, Korean association of geographic information studies conference.pp.228-236


  4. K.J.Lee, M.H.Jo, H.S. Kim, D. H. Shin, Extraction method of temperature distribution properties in urban area using remotely sensed data and GIS. Proceedings of the 2002 Joint Spring Meeting.pp.145-151


  5. Myung-Hee Jo, Sung-Nam Oh, Ae-Sook Suh, Ji-Hyun Shin, Kwang-Jae Lee, Surface Temperature Analysis of Urban Area using RS and GIS, Proceedings of The 21st Asian Conference on Remote Sensing, pp.234-239.


  6. Myung-Hee Jo, Kwang-Jae Lee, Yun-Won Jo, Spatial Analysis of surface Temperature Distribution in Metropolitan Area using Landsat TM Images and GIS, Pressented at AURISA 2001-The 29th Annual Conference of Aurisaa, 2001.11.


  7. Markham, B. L and J. L. Becker, 1986, Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures, EOSAT Landsat Tech Notes, 1:3-7.


  8. GUPTA. R. K, PRASAD. S, SESHA SAI M. V. R. and T. S. VISWANADHAM, 1997, The estimation of surface temperature over an agricultural area in the state of Haryana and Panjab, India, and its relationship with the Normalized Difference Vegetation Index (NDVI) using NOAA-AVHRR data, International Journal of Remote Sensing, Vol.18, No.18, pp.3729-3741.


  9. Hafner and Jan, 1999, Urban heat island modeling in conjunction with satellite-derived surface/soil parameters, Journal of applied meteorology, Vol.38, No.4, pp.448.


  10. Prakash. A. and R. P. Gupta, 1999, Surface fires in JHARIA coalfield, India-their distribution and estimation of area and temperature from TM data, International Journal of Remote Sensing, Vol.20, No.10, pp.1935-1946.
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