Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data-Reference-Cited by-同舟云学术

Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data

Published:2019-07-27 Issue:14 Volume:124 Page:7647-7664
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Jiang Yazhen¹²³,Tang Ronglin¹²^ORCID,Jiang Xiaoguang²⁴,Li Zhao‐Liang¹³⁵^ORCID,Gao Caixia⁴

Affiliation:

1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences Beijing China

2. College of Resources and EnvironmentUniversity of Chinese Academy of Sciences Beijing China

3. Icube (UMR7357), UdS, CNRS Illkirch France

4. Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto‐ElectronicsChinese Academy of Sciences Beijing China

5. Key Laboratory of Agri‐informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural Sciences Beijing China

Funder

China Scholarship Council

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD030542

Reference51 articles.

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2. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

3. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources

4. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

5. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation

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