Forest Flows - Data Fusion of Remote Sensing and Real Time Terrestrial Data for Identifying and Quantifying the Drivers of Forest Hydrological Processes across Different Scales

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    W[2022AGUFM.H25K1241M]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (4)"]
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    click LI "#linked-institutions"
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ADS bibcode
2022AGUFM.H25K1241M
year
2022
Listed Authors
Meason, Dean
Salekin, Serajis
Lad, Priscilla
Owens, Jennifer
Zhang, Yi
Wade, Ashley
Dudley, Bruce
Griffins, James
Yang, Jing
Dempster, Alec
Srinivasan, MS
Rajanayaka, Channa
Bifet, Albert
Cassales, Guilherme
Moller, Delwyn
Moghaddam, Mahta
Schafer, Robert
Palma, Joao
Wuraola, Adedamola
Matson, Amanda
White, Don
Listed Institutions
Scion Research, Rotorua, NEW ZEALAND
Scion, Rotorua, New Zealand
Scion, Rotorua, New Zealand
Scion, Rotorua, New Zealand
Scion, Rotorua, New Zealand
Scion, Rotorua, New Zealand
National Institute of Water and Atmospheric Research, Wellington, New Zealand
National Institute of Water and Atmospheric Research, Wellington, New Zealand
Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore
National Institute of Water and Atmospheric Research, Wellington, New Zealand
National Institute of Water and Atmospheric Research, Wellington, New Zealand
National Institute of Water and Atmospheric Research, Wellington, New Zealand
University of Waikato, Hamilton, New Zealand
University of Waikato, Hamilton, New Zealand
Department of Electrical Computer & Software Engineering, The University of Auckland, Auckland, New Zealand
University of Southern California, Los Angeles, United States
XERRA, Alexandra, New Zealand
MV Agroecology Research Centre, Espírito Santo, Portugal
Imagr, Auckland, New Zealand
Thunen Institute of Climate Smart Agriculture, Braunschweig, Germany
Whitegum Forest and Natural Resources, Perth, Australia

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