Spatial Information Research

Korea Spatial Information Society (대한공간정보학회)
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Monitoring the Desiccation of Inland Wetland by Combining MNDWI and NDVI: A Case Study of Upo Wetland in South Korea

MNDWI와 NDVI의 통합을 통한 내륙습지의 육화현상 추적: 우포늪을 사례로

  • Received : 2015.10.02
  • Accepted : 2015.12.22
  • Published : 2015.12.31
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Abstract

This research is primarily intended to explore a novel way to monitor desiccation of inland wetland by combining MNDWI (Modified Normalized Difference Water Index) and NDVI (Normalized Difference Vegetation Index). The changes for vegetation and water condition on Upo Wetland located at southeastern Korea were investigated by MNDWI and NDVI derived from 2002, 2010 and 2015 Landsat data. The integrated use of MNDWI and NDVI made it possible to identify area-wide vegetation cover changes and to assess water storage changes on multi-annual time scales simultaneously. Comparing MNDWI with NDVI reveals the quantitative evidences for anthropogenic and environmental influences (such as road, building, water) causing an accelerated wetland desiccation. In fact, our monitoring approach raises critical issues regarding the hydrological cycle and its inter-annual changes for inland wetland under threat of drying up and highlights the important role of MNDWI and NDVI integration for any urgent or long-term treatment plan. This research presents scientific and objective evidences to support integrated approach of NDVI and MNDWI in exploring drying up trends of wetlands.

본 연구는 육화 추세를 추적하는 과정에서 MNDWI (Modified Normalized Difference Water Index)와 NDVI(Normalized Difference Vegetation Index)를 통합한 접근의 실용성을 평가하는 것을 목적으로 한다. 사례 연구지역인 우포늪에 대해 MNDWI는 수분 지수에 민감하여, 수문 객체는 더욱 강조하고 습윤 토양의 변화를 추적하는 등 수문 객체 외의 요소들은 더욱 강하게 배제하는 근거를 제시하였다. NDVI는 식생의 수령, 식생밀도에 대한 정보를 제시하고, 수분객체와 다른 토지 피복 유형(식생, 건물, 도로 등)을 가시적으로 추적하였다. NDVI와 MNDWI의 통합접근을 통해 산출되는 정량적이고 거시적인 정보는 NDVI와 MNDWI의 변화가 육화에 대한 정량적인 근거로 활용될 수 있다는 의미있는 결과를 보여준다. 본 연구는 향후 내륙습지의 육화에 대한 장기적 모니터링과 전반적인 육화 대응방안을 도출하는 과정에서 NDVI, MNDWI 통합접근의 근거가 되는 기초자료를 제공하였다.

Keywords

References

  1. Kang, D. H; Kim, S. S; Kwon, B. H; Kim, I. K. 2008, Observations of Variations in Soil Organic Carbon and Carbon Dioxide in the Constructed Wetland at Goheung Bay, Studies on Education of Fisheries and Marine Sciences, 20(1):58-67.
  2. UNEP/GEF National Wetland Conservancy. 2008, The Evaluation of Economic Value of Korean Major Wetland:Seoul .
  3. Lee, S. D; Kim, S. H; Kim, J. S. 2012, Analysis Actual Conditions of Arid Progress and Prevention Management of Hwaeom Wetland in Yangsansi, Korean Journal of Environment and Ecology, 26(4):498-511.
  4. Kim, S. W; Yang, W. J. 2007, Present Status and Conservation Plan of Changnyeong's Natural Swamps: Focusing on the Upo Wetlands, Environmental Research Institue, Kyungnam University, 30:15-25.
  5. Wang, C; Wang, H; Xarapat, A. 2011, Spatial and Temporal Changes of Lake Wetlands in Jianghan Plain after the Implementing of 'Thirty-Six-Word' Policy, Procedia Environmental Sciences, 10:2574-2580. https://doi.org/10.1016/j.proenv.2011.09.400
  6. Park, E. J; Ku, C. Y. 2003, Efficiency Assessment of Analysing Coastal Geomorphic Landscape Change by Satellite Image Interpretation, Journal of the Korean Geographical Society, 38(5): 822-834.
  7. ian, B; Zhou, Y. X; Tomas, R. M; Diefenderfer, H. L; Youan, Q. 2015, Detecting Wetland Changes in Shanghai, China Using FOR -MOSAT and Landsat TM Imagery, Journal of Hydrology, 529:1-10. https://doi.org/10.1016/j.jhydrol.2015.07.007
  8. Ghosh, M. K; Kumar, L; Roy C. 2015, Monitoring the Coastline Change of Hatiya Island in Bangladesh Using Remote Sensing Techniques, ISPRS Journal of Photogrammetry and Remote Sensing, 101:137-144. https://doi.org/10.1016/j.isprsjprs.2014.12.009
  9. Mcfeeters, S. K. 1996, the Use of Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features, International Journal of Remote Sensing, 17:1425-1432. https://doi.org/10.1080/01431169608948714
  10. Xu H. 2006, Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery, International Journal of Remote Sensing, 27(14):3025-3033. https://doi.org/10.1080/01431160600589179
  11. National Institute of Environmental Research. 2010, The Research of Freshwater Water Ecology Changes and Conservation According to the Climate Change(1).
  12. National Institute of Environmental Research. 2006, Scrunity of Wetland Sanctuary : The Mouth of Nakdong River,Upo Wetland, Moojechi Wetland.
  13. Changnyeong-Gun. 2007, Changnyeong-Gun Environmental Conservation Plan (2007-2015).
  14. Kwon, O. B. 2015, CEO, Assum Ecological System INC., Accessed October 3, http://www.latimes.kr/news/articleView.html?idxno=10830.
  15. Upo Wetland Cyber Ecological Park. 2015, Accessed October 3, http://www.upo.or.kr/01info/02_01.asp
  16. Joo, S. M; Heo, M. H; Kim, J. D; Um, J. S. 2015, Evaluating Monitoring Condition for Forest Carbon Offset Project to Demonstrate CSR in North Korea, Journal of Korea Spatial Information Society, 23(2):11-20.
  17. Kim, S. W; Jeong, J. C. 2002, Ecological Effect Area Research of DMZ Using NDVI, Journal of the Korean Association of Geographic Information Studies, 5(4):24-34.
  18. Lee, H. R; 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(2):31-43.
  19. Joo, S. M; Um, J. S. 2014, Exploring Sub-watershed Suitable to UN-REDD/AR-CDM byComparative Evaluation of Carbon Stock in Baekdu Mountain, Journal of Korea Spatial Information Society, 22(2):1-9.
  20. Harrison, B. A; Jupp, D. L. B. 1993, Micro Brian Resource Manual, CSIRO Water Resources, Canberra.
  21. Specht, A; Pathirana, S; Luker, G. 2014, The Use of Satellite Image Analysis in Long-term Monitoring of the Effects of Water Extraction from a Oastal Subtropical wetland, Paper presented at the 2014 34th International Symposium for Remote Sensing of the Environment(ISRSE).
  22. Kang, J. H; Suh, M. S; Kwak, C. H. 2009, Classification of Land Cover over the Korean Peninsula Using MODIS Data, Atmosphere, 19(2):169-182.
  23. Gao, B. C. 1996, NDWI-A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space, Remote Sensing of Environment, 58(3):257-266. https://doi.org/10.1016/S0034-4257(96)00067-3
  24. Myneni, R. B; Hall, F. G; Sellers, P. J; Marshak, A. L. 1995, The Interpretation of Spectral Vegetation Indexes, IEEE Transactions on Geoscience and Remote Sensing, 33:481-486. https://doi.org/10.1109/36.377948
  25. Choi, K. K; Koh, J. K. 1989, Studies on Moor Vegetation of Mt. Daeam, East - Central Korea, Korean Journal of Ecology, 12(4):237-244.
  26. Kim, J. W; Han, S. U. 2005, Moor Vegetation of Mountain. Shinbul in Yangsan, Korean Journal of Ecology, 25(2):85-92.
  27. Zhou, W; Li, Z; Ji, S; Hua C; Fan, W. 2015, New Index Model NDVI-MNDWI for Water Object extraction in hybrid area, Communications in Computer and Information Science, 482:513-519. https://doi.org/10.1007/978-3-662-45737-5_51
  28. Arvidson, T; Goward, S; Gasch, J; Williams, D. 2006, Landsat-7 Long-term Acquisition Plan: Development and Validation. Photogrammetric Engineering and Remote Sensing, 72:1137-114. https://doi.org/10.14358/PERS.72.10.1137
  29. Park, J. S; Kim, K. T. 2009, Evaluation of MODIS NDVI for Drought Monitoring : Focused on Comparison of Drought Index, The Journal of GIS Association of Korea, 17(1):117-129.

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