Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
권호 표지
DOI QR코드

DOI QR Code

Comparative Evaluation of Albedo Distribution according to Administrative Boundary Using MODIS Products

MODIS 영상을 이용한 행정구역별 알베도 분포 비교평가

  • Kim, Ki-Youl (Department of Spatial Information Science, Kyungpook National University) ;
  • Um, Jung-Sup (Department of Geography, Kyungpook National University)
  • Received : 2012.02.22
  • Accepted : 2012.03.20
  • Published : 2012.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper is primarily intended to present quantitative evidences for land surface albedo difference among seven metropolitan cites in South Korea. An empirical study for experimental sites was conducted to confirm how a standard MODerate Resolution Imaging Spectroradiometer (MODIS) instrument offers the viable method of measuring and comparing the regional heterogeneity of albedo among administrative districts. The metropolitan cities like Seoul located in dense building environment do result in much lower albedo than those exposed in much more sub-urban surface (e.g KwangJoo). These experimental results indicate that an urban surface such as building and road is a crucial explanatory variable for lower albedo. It is confirmed that the urban surface such as building and road could be employed as a proxy of the lower albedo burden in the metropolitan area. It is anticipated that this research output could be used as a valuable reference to confirm the potential of introducing the new concept of "administrative districts specific albedo management" to support more scientific and objective decision-making in the process of GHG (Greenhouse Gas) reduction project.

Keywords

References

  1. 강신규, 장근창, 이보라, 김소희, 2008, MODIS 위성자료를 이용한 증발산 지도 제작. 수자원의 지속적 확보기술개발 사업단 기술보고서, TR2008-13.
  2. 안지원, 2005, 전국 주요 행정구역별 PM10 성분의 시.공간적 농도분포의 특성조사. 한국지구과학회지. 26(7), 652-660.
  3. 김선희, 2008, Post-2012체제에 대비한 신국토관리전략, 국토, 318, 6-17.
  4. 이인희, 장은미, 2009, 행정구역단위 $CO_2$배출량 추정을 위한 기초연구: 위성영상을 이용한 토지피복.이용도 구축. 충남발전연구원.
  5. 최영국, 정진규, 심우배, 이문원, 임은선, 김명수, 왕광익, 서연미, 박정은, 2008, 기후변화에 대응한 지속가능한 국토관리 전략(I) 자료집, 국토연구원,
  6. 환경부, 2002, 인공위성 영상 자료를 이용한 토지 피복지도 구축(용역보고서), 한국 환경정책.평가 연구원, p268.
  7. Akbari H, Menon S, Rosenfeld A. 2009, Global cooling: increasing world-wide urban albedos to offset CO2, Climatic Change. 94(3), 275-286. https://doi.org/10.1007/s10584-008-9515-9
  8. Bao Y, Lu S. 2009, Improvement of surface albedo parameterization within a regional climate model(RegCM3). Hydrology and Earth System Sciences Discussions, 6, 1651-1676. https://doi.org/10.5194/hessd-6-1651-2009
  9. Bretz, S. and Akbari, H., 1997, Long-term performance of high albedo roof coatings, Energy and Buildings, 25(2), 159-167. https://doi.org/10.1016/S0378-7788(96)01005-5
  10. EPA(Environmental Protection Agency), 2009, Reducing Urban Heat Islands: Compendium of Strategies Cool roofs, http://www.epa.gov/hiri/resources/compendium.htm/
  11. Galli, J. 1991, Thermal Impacts Associated with Urbanization and Stormwater Management Best Management Practices, Metropolitan Washington Council of Governments, Maryland Department of the Environment, Washington, D.C.
  12. Jang, K, J. Kim, and S. Kang, 2008, Estimation of evapotranspiration using data retrieved from MODIS in South Korea, Korean Meteorological Society Proceeding, 104.
  13. Liang S, Fang H, Chen M, Shuey C, Walthall C, Daughtry C, Morisette J, Schaaf C, Strahler A. 2002, Validating MODIS land surface reflectance and albedo products: methods and preliminary results, Remote Sensing of Environment, 83(1-2), 149-162. https://doi.org/10.1016/S0034-4257(02)00092-5
  14. Moody E, King M, Schaaf C, Hall D, Platnick S. 2007, Northern Hemisphere five-year average(2000-2004) spectral albedos of surfaces in the presence of snow: Statistics computed from Terra MODIS land products. Remote Sensing of Environment. 111(2-3), 337-345. https://doi.org/10.1016/j.rse.2007.03.026
  15. Prado R, Ferreira F. 2005, Measurement of albedo and analysis of its influence the surface temperature of building roof materials, Energy and Buildings, 37(4), 295-300. https://doi.org/10.1016/j.enbuild.2004.03.009
  16. Roman M, Schaaf C, Lewis P, Gao F, Anderson G, Privette J, Strahler A, Woodcock C, Barnsley M. 2010, Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially -characterized landscapes. Remote Sensing of Environment. 114(4), 738-760. https://doi.org/10.1016/j.rse.2009.11.014
  17. Sawin, J. 2010, State of the World, World Watch Institute
  18. Schaaf, C. 2002, First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment. 83(1-2), 135-148. https://doi.org/10.1016/S0034-4257(02)00091-3
  19. Weng, Q. and Lu, D. 2008, A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States, The ITC Journal, 10(1), 68-83.
  20. Xiao, R, Ouyang, Z, Zheng, H., Li, W. Schienke, E. W. 2007, Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China, Journal of Environmental Sciences, 19(2), 250-256. https://doi.org/10.1016/S1001-0742(07)60041-2