Journal of Ecology and Rural Environment ›› 2016, Vol. 32 ›› Issue (6): 901-907.doi: 10.11934/j.issn.1673-4831.2016.06.006

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Estimation and Spatio-Temporal Distribution of Evapotranspiration in Small-Scaled Catchments in Subtropics of China Based on Landsat 8 Data

MA Qiu-mei1,2,3, LIU Xin-liang1,2, LI Yong1,2, WANG Yi1,2, WU Jin-shui1,2   

  1. 1. Key Laboratory of Agro-Ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;
    2. Changsha Research Station for Agricultural & Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2016-11-25 Published:2016-11-30

Abstract:

Based on the Landsat 8 remote-sensing data of the Jinjing Catchment, typical of the subtropics of China, evapotranspiration (ET) in the catchment on 4 days, typical of the four seasons, was estimated separately, using the SEBS model. Results show that the mean and the upper bound of 90% quantile of ET was estimated to be 2.69 and 4.14 mm on the spring day (May 12, 2013), 2.73 and 5.41 mm on the summer day (July 31, 2013), 2.75 and 5.78 mm on the autumn day (September 17, 2013), and 1.33 and 3.25 mm on the winter day (January 23, 2014), respectively. To study variation of the distribution of ET as affected by land use, statistics were done of ETs varying with type of land use, exhibiting a decreasing order of water body[(4.21±2.63) mm·d-1]> paddy field[(2.67±1.49) mm·d-1] >wood land and tea garden[(2.06±1.35) mm·d-1] >highway and residential land[(1.17±1.14) mm·d-1]. Pearson correlation analysis shows that ET was significantly related (r=0.34-0.63, P<0.05) to normalized difference vegetation index (NDVI) on the four typical days. Besides, remote-sensing based estimation of ET was quite consistent with that using the Penman-Monteith equation or the eddy correlation method, and the values acquired in field observation, which suggests that the SEBS model is applicable to estimation of ET in the Jinjing Catchment.

Key words: remote-sensing-based estimation, ET, SEBS model, Jinjing Catchment

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