TH1.R8.1: Modelling the dependence of chlorophyll leaf-clip measures on vegetation indexes derived from multispectral UAS images in vineyards parcels
Gil Gonçalves, University of Coimbra, Portugal; Umberto Andriolo, Lúcio Paiva, INESC Coimbra, Portugal; Cristiano Premebida, University of Coimbra, Portugal; António Ferraz, NASA Jet Propulsion Laboratory, United States
TH1.R8.2: A TWO-STEP METHOD FOR WINTER WHEAT LEAF CHLOROPHYLL ESTIMATION FROM UAV HYPERSPECTRAL IMAGERY
Siqi Yang, Naijie Peng, Dechao Zhai, Yunzhu Tao, Haobo Wu, Huazhong Ren, Wenjie Fan, Peking university, China
TH1.R8.3: EVALUATING THE CONTRIBUTION OF CX TO LEAF NITROGEN QUANTIFICATION USING FLUSPECT AND AIRBORNE IMAGING SPECTROSCOPY IN ALMOND ORCHARDS
Yue Wang, Lola Suarez, Dongryeol Ryu, Pablo J. Zarco-Tejada, University of Melbourne, Australia
TH1.R8.4: SIMULATING THE BACKSCATTERING OF L-BAND SYNTHETIC APERTURE RADAR FROM A WHEAT FIELD USING SMAPVEX12 DATA
Lilangi Wijesinghe, Dongryeol Ryu, Andrew Western, Jagannath Aryal, The University of Melbourne, Australia; Yuan Zhang, East China Normal University, China
TH1.R8.5: WEATHER FORECAST DOWNSCALING FOR APPLICATIONS IN SMART AGRICULTURE AND PRECISION FARMING USING ARTIFICIAL NEURAL NETWORKS
Francesco Di Paola, Domenico Cimini, Maria Pia De Natale, Donatello Gallucci, Edoardo Geraldi, Sabrina Gentile, National Research Council, Italy; Nicola Genzano, University of Basilicata, Italy; Salvatore Larosa, Saverio Teodosio Nilo, Elisabetta Ricciardelli, Filomena Romano, National Research Council, Italy; Valerio Tramutoli, University of Basilicata, Italy; Mariassunta Viggiano, National Research Council, Italy
