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NOAA/AVHRR NDVI를 이용한 북한지역 봄 가뭄 분석

Analysis of Spring Drought Using NOAA/AVHRR NDVI for North Korea

  • 장민원 (서울대학교 농업생명과학연구원) ;
  • 유승환 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 최진용 (서울대학교 생태조경.지역시스템공학부)
  • 발행 : 2007.11.30

초록

Different vegetation indices from satellite images have been used for monitoring drought damages, and this study aimed to develop a drought index using NOAA/AVHRR NDVI(Normalized Difference Vegetation Index) and to analyze the temporal and spatial distribution of spring drought severity in North Korea from 1998 to 2001. A new drought index, DevNDVI(Deviation of NDVI), was defined as the difference between a monthly NDVI and average monthly NDVI at the same cover area, and the DevNDVI images at all years except for 2001 demonstrated the drought-damaged areas referred from various domestic and foreign publications. The vegetation of 2001 showed high vitality despite the least amount of rainfall among the target years, and the reason was investigated that higher temperature above normal average would shift the growing stages of plants ahead. Therefore, complementary methods like plant growth models or ground survey data should be adopted in order to evaluate drought-induced plant stress using satellite-based NDVI and to make up far the distortion induced by other environments than lack of precipitation.

키워드

참고문헌

  1. 국방일보, 1999, 극심한 가뭄으로 몸살앓는 북한, 국정홍보원, 1999년 7월 25 일
  2. 기상연구소, 2002, 위성자료 처리기술(III), 기상연구소 연구보고서, pp.124
  3. 김천, 박승환, 2003, Landsat TM 화상 자료를 이용한 시계열 식생건조지수 분석, 한국GIS학회 공동춘계학술대회 논문집, pp.163-169
  4. 박은주. 2002, Landsat ETM+ 영상을 활용한 가뭄민감도 분석, 경희대학교 석사학위 논문
  5. 박종화, 류경식, 2005, AVHRR영상과 분광반사 특성을 이용한 식생지수(NDVI)의 변동특성, 한국환경복원녹화기술학회지, 8(2), pp.33-40
  6. 신사철, 어민선, 2004, 인공위성 영상 정보를 이용한 가뭄상황 및 징후분석, 한국방재학회논문집, 4(2), pp.61-69
  7. 에너지경제연구원, 2002, 기후변화협익에 따른 대한민국 국가보고서 초안 작성, 기본연구보고서 0201, p.156
  8. 한국환경정책평가연구원, 2001, 남북환경포럼, KEI 정책과제 연구보고서, p.93
  9. Amoli, A. A. & M. Morabbi, 2004, Drought Monitoring in Iran by NOAA/AVHRR, UN/I.R. Iran Workshop on the Use of Space Technology for Environmental Security, Disaster Rehabilitation and Sustainable Development, Tehran-Iran
  10. Anyamba, A. & C. J. Tucker, 2005, Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981-2003, Journal of Arid Environments, 63, pp.596-614 https://doi.org/10.1016/j.jaridenv.2005.03.007
  11. Ji, L. & A. J. Peters, 2003, Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices, Remote Sensing of Environment, 87, pp.85-98 https://doi.org/10.1016/S0034-4257(03)00174-3
  12. Kogan, F.N., 1997, 'Global Drought Watch form Space', American Meteorological Society, available at http://orbit-net.nesdis.noaa.gov/crad/sat/surf/vci/
  13. Prasad, A. K., S. Sarkar, R. P. Singh & M. Kafatos, 2007, Inter-annual variability of vegetation cover and rainfall over india, Advances in Space Research, 39(1), pp.73-78 https://doi.org/10.1016/j.asr.2006.02.035
  14. Unganai, L. S. & F. N. Kogan, 1998, Sourthern Africa's recent droughts from space, Advanced Space Research, 21(3), pp.507-511 https://doi.org/10.1016/S0273-1177(97)00888-0
  15. WFP/FAO Joint Report, 2001, Severe Spring Droughts Aggravate North Korea's Food Crisis, available at http://www.wfp.org/newsroom/in_depth/north_korea_II.asp?section=2&sub_section=2
  16. WFP/FAO, 2001, FAO/WFP Crop and Food Supply Assessment Mission to Demographic People's Republic of Korea 2001/July/27, FAO Global Information and Early Warning System on Food and Agriculture World Food Programme
  17. McVicar, T. R. & P. N. Bierwirth, 2001, Rapidly Assessing the 1997 Drought in Papua New Guinea Using Composite AVHRR Imagery, International Journal of Remote Sensing, 22, pp.2109-2128 https://doi.org/10.1080/01431160120728
  18. Rouse, J. W, R. H. Haas, J. A. Schell, D. W. Deering & J. C. Harlan, 1974, Monitoring the Vernal Advancement of Retrogradation of Natural Vegetation, NASNGSFC, Type III, Final Report, Greenbelt, MD, pp.1-371.
  19. Tadesse, T., J. F. Brown & M. J. Hayes, 2005, A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains, Photogrammetry and Remote Sensing, 59, pp.244-253 https://doi.org/10.1016/j.isprsjprs.2005.02.003

피인용 문헌

  1. Assessment of the Impact of Climate Change on Drought Characteristics in the Hwanghae Plain, North Korea Using Time Series SPI and SPEI: 1981–2100 vol.9, pp.8, 2017, https://doi.org/10.3390/w9080579
  2. Investigation of drought-vulnerable regions in North Korea using remote sensing and cloud computing climate data vol.190, pp.3, 2018, https://doi.org/10.1007/s10661-018-6466-0