Abstract
After quantization and classification of the deviations between TM and ETM+ images based on approved thresholds, a correlation analysis method for the compared calibration is suggested in this paper. Four time points of raster data for 15 years of the highest group of land surface temperature and the lowest group of vegetation of the Kunsan city, are observed and analyzed their correlations for the change detection of urban land cover. This experiment detected strong and proportional correlation relationship between the highest group of land surface temperature and the lowest group of vegetation index which exceeded R=(+)0.9478, so the proposed correlation analysis model between land surface temperature and vegetation will be able to give proof an effective suitability to the land cover change detection and monitoring.
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Chander, G., Markham, B.L.: Revised Landsat-5 TM Radiometric Calibration Procedures and Post-calibration Dynamic Ranges. IEEE Transactions on geoscience and remote sensing 41(11), 2674–2677 (2003)
Fisher, J.I., Mustard, J.F.: High spatial resolution sea surface climatology from Landsat thermal infrared data, Remote Sensing of Environment 90, 293–307 (2004)
Markham, Brian L., Bakerl, J.L.: Landsat MSS and TM Post-CalibrationDynamic Ranges, Atmospheric Reflectance and At-Satellite Temperatures, Laboratory for Terrestrial Physics-NASA/Goddard Space Flight Center, Greenbelt, MD. 20771, pp. 3–7 (1986)
Melesse, A.M.: Spatiotemporal dynamics of land surface parameters in the Red river of the north basin. Physics and Chemistry of the Earth 29, 795–810 (2004)
NASA: Landsat Project Science Office. Landsat 7 Science Data Users Handbook. Ch.11-Data Products (2004), http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_htmls/chapter11/chapter11.html:11.1-11.4
Rouse, J. W., Haas, R.H., Schell, J.A.: Monitoring vegetation systems in the Great Plains with ERTS. In: Proc. Third Earth Resources Technology Satellite-1 Symposium, Greenbelt, NASA SP-351, pp. 3010–3017 (1974)
Suga, Y., Ohno, H.O., Ohno, K., Yamada, K.: Detection of surface temperature from Landsat-7/ETM+. Adv. Space Res. 32(11), 2235–2240 (2003)
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Kim, H.M., Yoo, J.S. (2007). Correlation Rules and Ontologies Acquisition in Knowledge Extraction of Image. In: Marchiori, M., Pan, J.Z., Marie, C.d.S. (eds) Web Reasoning and Rule Systems. RR 2007. Lecture Notes in Computer Science, vol 4524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72982-2_28
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DOI: https://doi.org/10.1007/978-3-540-72982-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72981-5
Online ISBN: 978-3-540-72982-2
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