A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data-Reference-Cited by-同舟云学术

A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data

Published:2017-12-27 Issue:24 Volume:122 Page:13,263-13,277
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Leng Pei¹^ORCID,Li Zhao-Liang¹²^ORCID,Duan Si-Bo¹^ORCID,Tang Ronglin²^ORCID,Gao Mao-Fang¹

Affiliation:

1. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning; Chinese Academy of Agricultural Sciences; Beijing China

2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research; Chinese Academy of Sciences; Beijing China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017JD027880/fullpdf

Reference51 articles.

1. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation;Bastiaanssen;Journal of Hydrology,1998

2. An overview of the “triangle method” for estimating surface evapotranspiration and soil moisture from satellite imagery;Carlson;Sensors,2007