Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Regional Scale Evapotranspiration Mapping using Landsat 7 ETM+ Land Surface Temperature and NDVI Space

Landsat ETM+영상의 지표면온도와 NDVI 공간을 이용한 광역 증발산량의 도면화

  • 나상일 ((주)선도소프트 U-전략사업단) ;
  • 박종화 (충북대학교 농업생명환경대학 지역건설공학과)
  • Published : 2008.05.31
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Abstract

Evapotranspiration mapping using both meteorological ground-based measurements and satellite-derived information has been widely studied during the last few decades and various methods have been developed for this purpose. It is significant and necessary to estimate regional evapotranspiration (ET) distribution in the hydrology and water resource research. The study focused on analyzing the surface ET of Chungbuk region using Landsat 7 ETM imagery. For this process, we estimated the regional daily evapotranspiration on May 8, 2000. The estimation of surface evapotranspiration is based on the relationship between Temperature Vegetation Dryness Index (TVDI) and Morton's actual ET. TVDI is the relational expression between Normalized Difference of Vegetation Index (NDVI) and Land Surface Temperature (LST). The distribution of NDVI corresponds well with that of land-use/land cover in Chungbuk. The LST of several part of city in Chungbuk region is higher in comparison with the averaged LST. And TVDI corresponds too well with that of land cover/land use in Chungbuk region. The low evapotranspiration availability is distinguished over the large city like Cheongju-si, Chungju-si and the difference of evapotranspiration availability on forest and paddy is high.

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References

  1. 건교부, 2003, 건설교통 통계연보
  2. 기상대, 2000-2005, 기상일보
  3. 김해동, 임진욱, 이순환, 2006, 위성자료를 이용한 대구광역시의 상대증발산량 추정, 한국지구과학학회 2006년 추계학술발표회 논문집, pp. 193- 199
  4. 윤홍식, 조재명, 2002, 인공위성 영상을 이용한 남한강 유역의 토지피복 변화량 검출, 한국측량학회지, 20(2), pp. 145-153
  5. Artis, D.A., and W.H. Carnahan, 1982, Survey of emissivity variability in thermography of urban areas, Rem. Sen. of Env., 12, pp. 313-329 https://doi.org/10.1016/0034-4257(82)90043-8
  6. IPCC, 2007, Fourth Assessment Report (AR4), Climate Changes 2007
  7. Kotoda K., 1986, Estimation of river basin evapotranspiration, Environ. Res. Centr., The Univ. of Tsukuba, 8, p. 68
  8. Morton, F.I., 1978, Estimating evaportranspiration from potential evaporation-Practically of an iconoclasic approach, J. Hydrol. 38, pp. 1-32 https://doi.org/10.1016/0022-1694(78)90129-4
  9. Monteith, J. L, 1981, Evaporation and surface temperature, Qua. J. Royal Met. Soc., 107, pp. 1-27 https://doi.org/10.1256/smsqj.45101
  10. Nemani, R.R. and S.W. Running, 1989, Estimation of regional surface resistance to evapotranspiration from NDVI and thermal IR AVHRR data, J. of App. Met., 28, pp. 276-284 https://doi.org/10.1175/1520-0450(1989)028<0276:EORSRT>2.0.CO;2
  11. Penman, H. C., 1948, Natural evapotranspiration from open water, bare soil and grass, Proc. R. Soc. Lond., A193, pp. 120-146
  12. Priestley, C. H. and R. J. Taylor, 1972, On the assessment of surface heat flux and evaporation using large scale parameters, Mon. Wea. Rev., 100, pp. 81-92 https://doi.org/10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
  13. Sandholt, I., K. Rasmussen, and J. Andersen, 2002, A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status, Rem. Sen. of Env., 79, pp. 213-224 https://doi.org/10.1016/S0034-4257(01)00274-7
  14. Shuttleworth. W. J. and D. R. Maidment, (edit.), 1993, Chapter 4 Evaporation, Handbook of Hydrology, Mc Graw Hill, pp. 4.1-4.47
  15. Wang Xiao, Zhang Zengxiang, and Tan Wenbin, 2005, Using Temperature/Vegetation Index to Assess Surface Soil Moisture Status, Rem. Sen. Symp., IEEE. IGARSS 2005, pp. 4493- 4496

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