Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Feasibility of Vegetation Temperature Condition Index for monitoring desertification in Bulgan, Mongolia

  • Yu, Hangnan (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Lee, Jong-Yeol (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Lee, Woo-Kyun (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Lamchin, Munkhnasan (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Tserendorj, Dejee (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Choi, Sole (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Song, Yongho (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Kang, Ho Duck (Department of Biological and Environmental Science, Dongguk University)
  • Received : 2013.08.26
  • Accepted : 2013.12.17
  • Published : 2013.12.31
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Abstract

Desertification monitoring as a main portion for understand desertification, have been conducted by many scientists. However, the stage of research remains still in the level of comparison of the past and current situation. In other words, monitoring need to focus on finding methods of how to take precautions against desertification. In this study, Vegetation Temperature Condition Index (VTCI), derived from Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), was utilized to observe the distribution change of vegetation. The index can be used to monitor drought occurrences at a regional level for a special period of a year, and it can also be used to study the spatial distribution of drought within the region. Techniques of remote sensing and Geographic Information System (GIS) were combined to detect the distribution change of vegetation with VTCI. As a result, assuming that the moisture condition is the only main factor that affects desertification, we found that the distribution of vegetation in Bulgan, Mongolia could be predicted in a certain degree, using VTCI. Although desertification is a complicated process and many factors could affect the result. This study is helpful to provide a strategic guidance for combating desertification and allocating the use of the labor force.

Keywords

References

  1. Artis, D.A. and W.H. Carnahan, 1982. Survey of emissivity variability in thermography of urban areas, Remote Sensing of Environment, 12: 313-329. https://doi.org/10.1016/0034-4257(82)90043-8
  2. Altanbagana, M., T. Chuluun, and D. Ojima, 2010. Vulnerability Assessment of the Mongolia Rangeland Ecosystems, Institute for Global Environmental Strategies (IGES), June 17-18.
  3. Banzragch, Ts. and S. Enkhbold, 2010. New Policy on Combating Desertification in Mongolia, Institute for Global Environmental Strategies (IGES), June 17-18.
  4. Carlson, T.N., R.R. Gillies, and E.M. Perrry, 1994. A method to make use of thermal infrared temperature and NDVI measurements to infer soil water content and fractional vegetation cover, Remote Sensing Reviews, 9: 16-173.
  5. Collado, A.D., E. Chuvieco, and A. Camarasa, 2002. Satellite remote sensing analysis to monitor desertification processes in the crop-rangeland boundary of Argentina, Journal of Arid Environments, 52: 121-133. https://doi.org/10.1006/jare.2001.0980
  6. Cohen, B.C. and S.N. Goward, 2004. Landsat's role in ecological application of remote sensing, BioScience, 54(6): 535-545. https://doi.org/10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2
  7. Chander, G., B.L. Markham, and D.L. Helder, 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors, Remote Sensing of Environment, 113: 893-903. https://doi.org/10.1016/j.rse.2009.01.007
  8. Chuluun, T., 2010a. Climate Change and Sustainable Development of Mongolia: Summary of Papers, Institute for Global Environmental Strategies (IGES), June 17-18.
  9. Chuluun, T., 2010b. Opportunities of Synergies between Climate Change, Desertification, Conservation, and Human Development at Multiple Scales, International Conference on Climate, Sustainability and Development, Fortaleza, Brazil, August 16-20.
  10. Dagvadorj, D., 2010. The Climate Change Policy and Measures in Monglia. Institute for Global Environmental Strategies (IGES), June 17-18.
  11. Gillies, R.R., T.N. Carlson, J. Cui, W.P. Kustas, and K.S. Humes, 1997. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurement of the Normalized Difference Vegetation Index (NDVI) and surface radiant temperature, International Journal of Remote Sensing, 18: 3145-3166. https://doi.org/10.1080/014311697217026
  12. Goetz, S.J., 1997. Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site, International Journal of Remote Sensing, 18: 71-94. https://doi.org/10.1080/014311697219286
  13. Geist, H., 2005. The Causes and Progression of Desertification, Ashgate Publishing, Ltd., London, UK.
  14. Markham, B.L., and J.K. Barker, 1985. Spectral characteristics of the LANDSAT Thematic Mapper sensor[J], International Journal of Remote Sensing, 6: 697-716. https://doi.org/10.1080/01431168508948492
  15. Masek, J.G., C. Huang, R. Wolfe, W. Cohen, F. Hall, J. Kutler, and P. Nelson, 2008. North American forest disturbance mapped from a decadal Landsat record, Remote Sensing of Environment, 112: 2914-2926. https://doi.org/10.1016/j.rse.2008.02.010
  16. Natsagdorj, L., 2004. Total evaporation change issues in the Mongolian territory, WMI, Scientific Journal, 26: 42-55.
  17. Natsagdorj, L., 2006. Climate change factors issues on pastoral degradation of Mongolia, Improvement issues on pastoral management, 125-140.
  18. Price, J.C., 1990. Using spatial context in satellite data to infer regional scale evapotranspiration, IEEE Transactions on Geoscience and Remote Sensing, 28: 940-948. https://doi.org/10.1109/36.58983
  19. Tsujimura, M., N.Wakasugi, X. Sun, and T. Endo, 2010. Completion Report of International Internship in Mongolia, October 25 - November 1, University of Tsukuba, Japan.
  20. Tsogoo B., D. Borchuluun, J. Dorjpure, and D. Sengelmaa, 2010. Technology Transfer Role in Alleviation of Climate Change Impact in Mongolia, Institute for Global Environmental Strategies (IGES), June 17-18.
  21. United Nations Convention to Combat Desertification (UNCCD). 1994. National Plan of Action to Combat Desertification in Mongolia, Ulaanbaatar, 226.
  22. Wang, P.X., X.W. Li, J.Y. Gong, and G.H. Song, 2001. Vegetation Temperature Condition Index and Its Application for Drought Monitoring, Proc. of International Geoscience and Remote Sensing Symposium, 9-14 July 2001. Sydney, Australia (Piscataway, NJ: IEEE), 141-143.
  23. Woodcock, C.E., S.A. Macomber, M. Pax-Lenney, and W.C. Cohen, 2001. Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors, Remote Sensing of Environment, 78: 194-203. https://doi.org/10.1016/S0034-4257(01)00259-0
  24. Wu, B. and L. Ci, 2002. Landscape change and desertification development in the Mu Us Sandland, Northern China, Journal of Arid Environments, 50: 429-444. https://doi.org/10.1006/jare.2001.0847
  25. Wan, Z., P. Wang, and X. Li, 2004. Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA, International Journal of Remote Sensing, 25(1): 61-72. https://doi.org/10.1080/0143116031000115328
  26. Xiao R.B., Z.Y. Ouyang, H. Zheng, W.F. Li, E.W. Schienke, and X.K. Wang, 2007. Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China, Journal of Environmental Sciences, 19: 250-256. https://doi.org/10.1016/S1001-0742(07)60041-2
  27. Yang X., K. Zhang, B. Jia, and L. Ci, 2005. Desertification assessment in China: An overview, Journal of Arid Environments, 63: 517-531. https://doi.org/10.1016/j.jaridenv.2005.03.032
  28. Zhang Y., Z. Chen, B. Zhu, X. Luo, Y. Guan, S. Guo, and Y. Nie, 2008. Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS), Environmental Monitoring and Assessment, 147: 327-337. https://doi.org/10.1007/s10661-007-0124-2

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