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Title: Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data

Authors:
; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1547871
Grant/Contract Number:  
RC18-1322; SC0016011
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Remote Sensing of Environment
Additional Journal Information:
Journal Name: Remote Sensing of Environment Journal Volume: 223 Journal Issue: C; Journal ID: ISSN 0034-4257
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Yan, D., Scott, R. L., Moore, D. J. P., Biederman, J. A., and Smith, W. K. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. United States: N. p., 2019. Web. doi:10.1016/j.rse.2018.12.029.
Yan, D., Scott, R. L., Moore, D. J. P., Biederman, J. A., & Smith, W. K. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. United States. doi:10.1016/j.rse.2018.12.029.
Yan, D., Scott, R. L., Moore, D. J. P., Biederman, J. A., and Smith, W. K. Fri . "Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data". United States. doi:10.1016/j.rse.2018.12.029.
@article{osti_1547871,
title = {Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data},
author = {Yan, D. and Scott, R. L. and Moore, D. J. P. and Biederman, J. A. and Smith, W. K.},
abstractNote = {},
doi = {10.1016/j.rse.2018.12.029},
journal = {Remote Sensing of Environment},
number = C,
volume = 223,
place = {United States},
year = {2019},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on January 17, 2020
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