Understanding the relationship between vegetation phenology and productivity across key dryland ecosystem types through the integration of PhenoCam, satellite, and eddy covariance data

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    W[2017AGUFMGC21F0997Y]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (2)"]
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ADS bibcode
2017AGUFMGC21F0997Y
year
2017
Listed Authors
Yan, D.
Scott, R. L.
Moore, D. J.
Biederman, J. A.
Smith, W. K.
Listed Institutions
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, United States
Southwest Watershed Research Center, Agricultural Research Service Tucson, Tucson, AZ, United States
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, United States
Southwest Watershed Research Center, Agricultural Research Service Tucson, Tucson, AZ, United States
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, United States

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