Browse > Article
http://dx.doi.org/10.5467/JKESS.2014.35.1.54

Conjugation of Landsat Data for Analysis of the Land Surface Properties in Capital Area  

Jee, Joon-Bum (Weather Information Service Engine, Center for Atmospheric and Earthquake Research)
Choi, Young-Jean (Weather Information Service Engine, Center for Atmospheric and Earthquake Research)
Publication Information
Journal of the Korean earth science society / v.35, no.1, 2014 , pp. 54-68 More about this Journal
Abstract
In order to analyze the land surface properties in Seoul and its surrounding metropolitan area, several indices and land surface temperature were calculated by the Landsat satellites (e.g., Landsat 5, Landsat 7, and Landsat 8). The Landsat data came from only in the fall season with Landsat 5 on October 21, 1985, Landsat 7 on September 29, 2003, and Landsat 8 on September 16, 2013. The land surface properties used are the indices that represented Soil Adjusted Vegetation Index (SAVI), Modified Normalized Difference Wetness Index (MNDWI), Normalized Difference Wetness Index (NDWI), Tasseled cap Brightness, Tasseled cap Greenness, Tasseled cap Wetness Index, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) and the land surface temperature of the area in and around Seoul. Most indices distinguish very well between urban, rural, mountain, building, river and road. In particular, most of the urbanization is represented in the new city (e.g., Ilsan) around Seoul. According to NDVI, NDBI and land surface temperature, urban expansion is displayed in the surrounding area of Seoul. The land surface temperature and surface elevation have a strong relationship with the distribution and structure of the vegetation/built-up indices such as NDVI and NDBI. While the NDVI is positively correlated with the land surface temperature and is also negatively correlated with the surface elevation, the NDBI have just the opposite correlations, respectively. The NDVI and NDBI index is closely associated with the characteristics of the metropolitan area. Landsat 8 and Landsat 5 have very strong correlations (more than -0.6) but Landsat 7 has a weak one (lower than -0.5).
Keywords
Landsat; NDVI; NDBI; Land Surface Temperature; Capital area;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
연도 인용수 순위
1 Chander, G., Markham, L., and Helder, D.L., 2009, Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, 893-903.   DOI   ScienceOn
2 Choi, S.P. and Yang, I.T., 1998, Extraction of land surface change information by using Landsat TM images. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 21, 261-267. (in Korean)   과학기술학회마을
3 Jeong, J.C., 2009, Comparison of land surface temperatures derived from surface emissivity with urban heat island effect. Journal of Environmental Impact Assessment, 18, 219-277. (in Korean)   과학기술학회마을
4 He, J.F., Liu, J.Y., Zhuang, D.F., Zhang, W., and Liu, M.L., 2007, Assessing the effect of land use/land cover change on the change of urban heat island intensity. Theoretical and Applied Climatology, 90, 217-226.   DOI
5 Huang, C., Wylie, B., Yang, L., Homer, C., and Zylstra, G., 2002, Derivation of a tasseled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing, 23, 1741-1748.   DOI   ScienceOn
6 Huete, A.R., 1988, A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, 295-309.   DOI   ScienceOn
7 Jo, M.H., Lee, K.J., and Kim, W.S., 2001, A study on the spatial distribution characteristic of urban surface temperature using remotely sensed data and GIS. Journal of the Korean Association of Geographic Information Studies, 4, 57-66. (in Korean)   과학기술학회마을
8 Kang, J.M., Ka M.S., Lee, S.S., and Park, J.K., 2010, Detection of heat change in urban center using Landsat imagery. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 28, 197- 206. (in Korean)   과학기술학회마을
9 Karnieli, A., 2010, Use of NDVI and land surface temperature for drought assessment: Merits and limitations. Journal of Climate, 210, 618-633.
10 Kim, H.D., Im, J.W., and Lee, S.H., 2006, Distribution of relative evapotranspiration availability using Satellite data in Daegu metropolitan. Journal of Korean Earth Science Society, 27, 667-686. (in Korean)   과학기술학회마을
11 Lee, H.R. and Kim, H.M., 2005, A correlation analysis between land surface temperature and NDVI in Kunsan city using Landsat 7 TM/ETM+ satellite images. Journal of the Korean Association of Geographic Information Studies, 8, 31-43. (in Korean)   과학기술학회마을
12 Kim, J.I. and Kwon, J.H., 2005, Identifying urban spatial structure through GIS and Remote Sensing data: The case of Daegu metropolitan area-. The Korean Association of Geographic Information Studies, 8, 21-30. (in Korean)
13 Lee, J.Y., Yang, D.Y., Kim, J.Y., and Chung, G.S., 2004b, Application of Landsat ETM image to estimate the distribution of soil types and erosional pattern in the wildfire area of Gangneung, Gangweon province, Korea. Journal of Korean Earth Science Society, 25, 764-773. (in Korean)   과학기술학회마을
14 Kim, T.G., Kim, K.E., Jo K.S., and Kim, K.H., 1996, Monitoring of lake water quality using LANDSAT TM imagery data. Journal of the Korean Society for Geo-Spatial Information System, 4, 23-33. (in Korean)   과학기술학회마을
15 Landsberg, H.E., 1981, The urban climate. Academic press, New York, USA, 275 p.
16 Lee, J.Y., Ynag D.Y., Kim, J.Y., and Chung, G.S., 2004a, Application of Landsat ETM image indices to classify the wildfire area of Gangneung, Gangweon province, Korea. Journal of Korean Earth Science Society, 25, 754-763. (in Korean)   과학기술학회마을
17 Lee, K.K. and Hong, W.H., 2008, A study on the urban heat environment pattern analysis and alleviation plan. Journal of Architectural Institute of Korea, 24, 253-260. (in Korean)   과학기술학회마을
18 Mallick, J., Kant, Y., and Bharath, B.D., 2008, Estimation of land surface temperature over Delhi using Landsat-7 ETM+. Journal Indian Geophysical Union, 12, 131-140.
19 Prihodko, L. and Goward, S.N., 1997, Estimation of air temperature from remotely sensed surface observations. Remote Sensing of Environment, 60, 335-346.   DOI   ScienceOn
20 Na, S.I., Park, J.H., and Shin, H.S., 2008, Change detection of NDVI, surface temperature and VTCI in Saemangeum area using Satellite imagery. Korean National Committee on Irrigation and Drainage Journal, 15, 28-38.
21 Suga, Y., Ogawa, H., Ohno, K., and Yamada, K., 2003, Detection of surface temperature from Landsat-7/ETM+. Advances in Space Research, 32, 2235-2240.   DOI   ScienceOn
22 National Aeronautics and Space Administration (NASA), 2004, Landsat 7 science data users handbook. http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf (February 15th 2014)
23 Park, M.H., 2001, A Study on the urban heat island phenomenon using LANDSAT TM thermal infrared data: In the case of Seoul. Korean Society Civil Engineering, 21, 861-874. (in Korean)   과학기술학회마을
24 Steve, K.J., Wong, N.H., Emlyn, H., Roni, A., and Hong, Y., 2007, The influence of land use on the urban heat island in Singapore. Habitat International, 31, 232-242.   DOI   ScienceOn
25 Teillet, P.M., Barker, J.L., Markham, B.L., Irish, R.R., Fedosejevs, G., and Storey, J.C., 2001, Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. Remote Sensing of Environment, 78, 39-54.   DOI   ScienceOn
26 World Meteorological Organization (WMO), 2007, RGB composite satellite imagery workshop. Final Report, Boulder, CO, 5-7 p.
27 Yoo, B.M., 1999, Introduction to geospatial information. DongMyung, Seoul, Korea, 511 p. (in Korean)
28 Yoon, M.H. and Ahn, D.M., 2009, An application of satellite image analysis to visualize the effects of urban green areas on temperature. Journal of the Korean Institute of Landscape Architecture. 37, 46-53. (in Korean)   과학기술학회마을