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
Dean Meason1, Serajis Salekin2, Priscilla Lad2, Jennifer Owens2, Yi Zhang2, Ashley Wade2, Bruce Dudley3, James Griffins3, Jing Yang4, Alec Dempster3, MS Srinivasan3, Channa Rajanayaka3, Albert Bifet5, Guilherme Cassales5, Delwyn Moller6, Mahta Moghaddam7, Robert Schafer8, Joao Palma9, Adedamola Wuraola10, Amanda Matson11 and Don White12, (1)Scion Research, Rotorua, Bay of Plenty, NEW ZEALAND, (2)Scion, Rotorua, New Zealand, (3)National Institute of Water and Atmospheric Research, Wellington, New Zealand, (4)Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore, (5)University of Waikato, Hamilton, New Zealand, (6)Department of Electrical Computer & Software Engineering, The University of Auckland, Auckland, New Zealand, (7)University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, CA, United States, (8)XERRA, Alexandra, New Zealand, (9)MV Agroecology Research Centre, Espírito Santo, Portugal, (10)Imagr, Auckland, New Zealand, (11)Thunen Institute of Climate Smart Agriculture, Braunschweig, Germany, (12)Whitegum Forest and Natural Resources, Perth, Australia
