An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations

• Fei Feng,

  Affiliation State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China

  ⨯
• Xianglan Li ,

  * E-mail: xlli@bnu.edu.cn (XL); boyyunjun@163.com (YY)

  Affiliation State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China

  ⨯
• Yunjun Yao ,

  * E-mail: xlli@bnu.edu.cn (XL); boyyunjun@163.com (YY)

  Affiliation State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, 100875, China

  ⨯
• Shunlin Liang,

  Affiliations State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, 100875, China, Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, United States of America

  ⨯
• Jiquan Chen,

  Affiliation Landscape Ecology & Ecosystem Science (LEES) Lab, Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI, 48823, United States of America

  ⨯
• Xiang Zhao,

  Affiliation State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, 100875, China

  ⨯
• Kun Jia,

  Affiliation State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, 100875, China

  ⨯
• Krisztina Pintér,

  Affiliations Institute of Botany and Ecophysiology, Szent István University, 2100 Páter K.u.1., Gödöllő, Hungary, MTA-SZIE Plant Ecology Research Group, 2103, Gödöllő, Hungary

  ⨯
• J. Harry McCaughey

  Affiliation Department of Geography, Queen’s University, Mackintosh-Corry Hall, Room E112, Kingston, Ontario, Canada

  ⨯