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Advances in Meteorology
Volume 2014, Article ID 584040, 16 pages
Research Article

Relative Contribution of the Topographic Influence on the Triangle Approach for Evapotranspiration Estimation over Mountainous Areas

State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

Received 10 June 2014; Revised 13 October 2014; Accepted 13 October 2014; Published 5 November 2014

Academic Editor: Hiroyuki Hashiguchi

Copyright © 2014 Xiaosong Zhao and Yuanbo Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Hua Zhang, Steven Gorelick, Nicolas Avisse, Amaury Tilmant, Deepthi Rajsekhar, and Jim Yoon, “A New Temperature-Vegetation Triangle Algorithm with Variable Edges (TAVE) for Satellite-Based Actual Evapotranspiration Estimation,” Remote Sensing, vol. 8, no. 9, pp. 735, 2016. View at Publisher · View at Google Scholar
  • Kyle R. Knipper, Alicia M. Kinoshita, and Terri S. Hogue, “Evaluation of a moderate resolution imaging spectroradiometer triangle-based algorithm for evapotranspiration estimates in subalpine regions,” Journal of Applied Remote Sensing, vol. 10, no. 1, 2016. View at Publisher · View at Google Scholar
  • Xin Pan, Yuanbo Liu, and Xingwang Fan, “Satellite Retrieval of Surface Evapotranspiration with Nonparametric Approach: Accuracy Assessment over a Semiarid Region,” Advances in Meteorology, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Xin Pan, Yuanbo Liu, Guojing Gan, Xingwang Fan, and Yingbao Yang, “Estimation of Evapotranspiration Using a Nonparametric Approach Under All Sky: Accuracy Evaluation and Error Analysis,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 6, pp. 2528–2539, 2017. View at Publisher · View at Google Scholar
  • N. Boudhina, M. M Masmoudi, I. Alaya, F. Jacob, and N. Ben Mechlia, “Use of AquaCrop model for estimating crop evapotranspiration and biomass production in hilly topography,” Arabian Journal of Geosciences, vol. 12, no. 8, 2019. View at Publisher · View at Google Scholar