WE2.Y1: Lidar Forest Vegetation

Session Type: Oral
Time: Wednesday, July 29, 10:30 - 12:10
Location: Yellow 1
Session Chairs: Grant Scott, University of Missouri and Benoit Rivard, University of Alberta
 
[View Video] WE2.Y1.1: FUSION BETWEEN UAV-SFM AND TERRESTRIAL LASER SCANNER FOR FIELD VALIDATION OF SATELLITE REMOTE SENSING
         Akira Kato; Chiba University
         Hiroyuki Obanawa; Chiba University
         Yuichi Hayakawa; The University of Tokyo
         Manabu Watanabe; Japan Aerospace Exploration Agency
         Yoshio Yamaguchi; Niigata University
         Tsutomu Enoki; Niigata University
 
[View Video] WE2.Y1.2: ESTIMATING PAR TRANSMITTANCE OF INDIVIDUAL TREES USING MULTI-RETURN AIRBORNE LIDAR AND RADIATIVE TRANSFER SIMULATION
         Haruki Oshio; Tokyo Institute of Technology
         Takashi Asawa; Tokyo Institute of Technology
         Akira Hoyano; The Open University of Japan
         Satoshi Miyasaka; Nakanihon Air Service CO., LTD.
 
[View Video] WE2.Y1.3: RETRIEVAL OF CANOPY STRUCTURE TYPES FOR FOREST CHARACTERIZATION USING MULTI-TEMPORAL AIRBORNE LASER SCANNING
         Reik Leiterer; University of Zurich, Remote Sensing Laboratories
         Reinhard Furrer; University of Zurich Institute of Mathematics
         Michael E. Schaepman; University of Zurich, Remote Sensing Laboratories
         Felix Morsdorf; University of Zurich, Remote Sensing Laboratories
 
[View Video] WE2.Y1.4: PROBABILISTIC CLUTTER MAPS OF FORESTED TERRAIN FROM AIRBORNE LIDAR POINT CLOUDS
         Heezin Lee; University of California, Berkeley
         Michael Starek; Texas A&M University-Corpus Christi
         Bruce Blundell; U.S. Army
         Christopher Gard; U.S. Army
         Harry Puffenberger; U.S. Army
 
WE2.Y1.5: ESTIMATING AND MAPPING FOREST STRUCTURAL NATURALNESS USING AIRBORNE LASER SCANNING DATA AND THE K-NEAREST NEIGHBORS TECHNIQUE
         Matteo Mura; University of Molise
         Ronald E. McRoberts; U.S. Department of Agriculture - Forest Service
         Gherardo Chirici; University of Florence
         Marco Marchetti; University of Molise