지표-대기 상호작용에 따른 증발산의 공간 거동 분석

  • 서찬양 (중부대학교 가뭄연구센터)
  • 발행 : 2019.08.31

초록

키워드

참고문헌

  1. Cleugh, H. A., Leuning, R., Mu, Q., Running, S.W., 2007, Regional Evaporation Estimates trom Flux Tower and MODIS Satellite Data, Remote Sensing of Environment, 106, 285-304. https://doi.org/10.1016/j.rse.2006.07.007
  2. Jiang, L., Islam, S., 2001, Estimation of surface evaporation map over Southern Great Plains using remote sensing data, Water Resources Research, 37(2), 329-340. https://doi.org/10.1029/2000WR900255
  3. Kustas, W.P., Anderson, M.C., Norman, J.M., Li, F., 2007, Utility of radiometric-aerodynamic temperature relations for heat flux estimation, Boundary-Layer Meteorology, 122, 167-187. https://doi.org/10.1007/s10546-006-9093-1
  4. McCabe, M.F., Wood, E.F., 2006, Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors, Remote Sensing of Environment, 105(4), 271-285. https://doi.org/10.1016/j.rse.2006.07.006
  5. Mu, Q., Heinsch, F.A., Zhao, M., Running, S.W., 2007, Development of a Global Evapotranspiration Algorithm Based on MODIS and Global Meteorology Data, Remote Sensing of Environment, 111, 519-536. https://doi.org/10.1016/j.rse.2007.04.015
  6. Mu, Q., Zhao, M., Running, S.W., 2011, Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm, Remote Sensing of Environment, 115, 1781-1800. https://doi.org/10.1016/j.rse.2011.02.019
  7. Sur, C., Choi, M., 2013, Evaluating Ecohydrological Impacts of Vegetation Activities on Climatological Perspectives Using MODIS Gross Primary Productivity and Evapotranspiration Products at Korean Regional Flux Network Site, Remote Sensing, 5, 2534-2553. https://doi.org/10.3390/rs5052534
  8. Sur, C., Kang, S., Kim, J., Choi, M., 2015, Remote sensing-based evapotranspiration algorithm: a case study of all sky conditions on a regional scale, GIScience & Remote Sensing, 52(5), 627-642. https://doi.org/10.1080/15481603.2015.1056288