MO7.V13.1: ESTIMATING FOREST HEIGHTS AND WOOD VOLUME USING A DEEP LEARNING APPROACH FROM GEDI WAVEFORM DATA
Ibrahim Fayad, Dino Ienco, Nicolas Baghdadi, INRAE, France; Raffaele Gaetano, Guerric Le Maire, CIRAD, France; Clayton Alcarde Alvares, Henrique Ferraço Scolforo, Suzano, Brazil; Jose Luiz Stape, Unesp, Faculdade de Ciências Agronômicas, Brazil
MO7.V13.2: Verification of leaf area index retrieved by ICESat-2 photon-counting LiDAR with airborne LiDAR
Yantian Wang, Cheng Wang, Xuebo Yang, Sheng Nie, Chinese Academy of Sciences, China
MO7.V13.3: DIAMETER AT BREAST HEIGHT CALCULATION IN OAK STAND USING UAV IMAGERYAND TLS- BASED POINT CLOUD DATA
Kaan Baykara, Adil Enis Arslan, Esra Erten, Istanbul Technical University, Turkey; Muhittin İnan, Istanbul University-Cerrahpasa, Turkey
MO7.V13.4: Floating Lidar Assessment of Atmospheric Stability in the North Sea
Marcos Paulo Araújo da Silva, Francesc Rocadenbosch, Joan Farré-Guarné, Andreu Salcedo-Bosch, Daniel González-Marco, Universitat Politècnica de Catalunya, Spain; Alfredo Peña, Denmark Technical University, Denmark
MO7.V13.5: SUPERVISED LEARNING CALIBRATION OF AN ATMOSPHERIC LIDAR
Adi Vainiger, Omer Shubi, Yoav Schechner, Technion - Israel Institute of Technology, Israel; Zhenping Yin, Wuhan University, China; Holger Baars, Birgit Heese, Dietrich Althausen, Leibniz Institute for Tropospheric Research (TROPOS), Germany