B43C
Characterizing Vegetation Structure with Remote Sensing I Posters

Thursday, 17 December 2015: 13:40-18:00
Poster Hall (Moscone South)
Primary Conveners:  Laura Duncanson, University of Maryland College Park, College Park, MD, United States
Conveners:  Michael J Falkowski1, Jon Ranson2 and Temilola E Fatoyinbo2, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States(2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs:  Michael J Falkowski1, Temilola E Fatoyinbo2, Paul M Montesano2 and Laura Duncanson3, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States(2)NASA Goddard Space Flight Center, Greenbelt, MD, United States(3)University of Maryland College Park, College Park, MD, United States
OSPA Liaisons:  Michael J Falkowski, University of Minnesota Twin Cities, Minneapolis, MN, United States
 
Mapping Vegetation Canopy Structure and Distribution for Great Smoky Mountains National Park Using LiDAR (79124)
Jon Weiner, University of California Berkeley, Berkeley, CA, United States, Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, Steven P Norman, USDA Forest Service, Asheville, NC, United States, William Walter Hargrove, USDA Forest Service, Eastern Forest Environmental Threat Assessment Center, Vallejo, CA, United States, Nathan Collier, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Forrest M Hoffman, University of California Irvine, Department of Earth System Science, Irvine, CA, United States
 
Spatial distribution of forest aboveground biomass in China: estimation through combination of spaceborne lidar, optical imagery, and forest inventory data (69188)
Bao-Lin Xue, CAS Chinese Academy of Sciences, Beijng, China
 
A Voxel-based Method for Forest Change Detection after Fire Using LiDAR Data (73679)
Zewei Xu, University of Illinois at Urbana Champaign, Urbana, IL, United States
 
Estimating forest biomass from LiDAR data: A comparison of the raster-based and point-cloud data approach (75810)
Mariano Garcia-Alonso1, Antonio Ferraz2, Sassan S Saatchi2, Angeles Casas3, Alexander Koltunov3, Susan Ustin3, Carlos Ramirez4 and Heiko Balzter5, (1)University of Leicester, Centre for Landscape and Climate Research, Leicester, LE1, United Kingdom, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)University of California Davis, Davis, CA, United States, (4)USDA Forest Service, Mcclellan Afb, CA, United States, (5)University of Leicester, Leicester, LE1, United Kingdom
 
Aboveground Biomass Modeling from Field and LiDAR Data in Brazilian Amazon Tropical Rain Forest (76696)
Carlos Alberto Silva1, Andrew T Hudak2, Lee Alexander Vierling1, Michael Maier Keller3 and Carine Klauberg Silva2, (1)University of Idaho, Moscow, ID, United States, (2)Rocky Mountain Research Station Moscow, Moscow, ID, United States, (3)US Forest Service San Juan, San Juan, PR, United States
 
Global Forest Canopy Height Maps Validation and Calibration for The Potential of Forest Biomass Estimation in The Southern United States (85570)
Nian-Wei Ku, Texas A & M University College Station, College Station, TX, United States and Sorin C Popescu, Texas A&M University, Department of Ecosystem Science and Management, College Station, TX, United States
 
Calibration of the Diameter Distribution Derived from the Area-based Approach with Individual Tree-based Diameter Estimates Using the Airborne Laser Scanning (79664)
Qing Xu1, Zhengyang Hou2, Matti Maltamo2 and Timo Tokola2, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)University of Eastern Finland, Department of Science and Forestry, Joensuu, Finland
 
Assessing and Adapting LiDAR-Derived Pit-Free Canopy Height Model Algorithm for Sites with Varying Vegetation Structure (83897)
Victoria Scholl1, David Hulslander2, Tristan Goulden2 and Leah A Wasser2, (1)Rochester Institute of Technology, Rochester, NY, United States, (2)National Ecological Observatory Network, Boulder, CO, United States
 
Fine Resolution Tree Height Estimation from Lidar Data and Its Application in SRTM DEM Correction across Forests of Sierra Nevada, California, USA (81445)
Yanjun Su1, Qinghua Guo1, Qin Ma1 and Wenkai Li2, (1)University of California Merced, Merced, CA, United States, (2)Sun Yat-sen University, Guangzhou, China
 
Biomass Estimation for Individual Trees using Waveform LiDAR (83498)
Kunxuan Wang, University of Illinois at Urbana Champaign, Urbana, IL, United States
 
Spatial Patterns of Trees from Airborne LiDAR Using a Simple Tree Segmentation Algorithm (80324)
Sean Jeronimo, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, WA, United States
 
Robustness of Tree Extraction Algorithms from LIDAR (63664)
Bogdan Mihai Strimbu1 and Marius Dumitru1,2, (1)Organization Not Listed, Washington, DC, United States, (2)Romanian National Forest Inventory, Voluntari, Romania
 
Visualization as a Tool for Validation and Exploration (75765)
Stewart He, University of California Davis, Davis, CA, United States
 
A Section-based Method For Tree Species Classification Using Airborne LiDAR Discrete Points In Urban Areas (77662)
Yao Chun Jing1,2, TONG Hui1, Ren Zhongjie1 and BAI Guikai1, (1)Wuhan University, The School Of Remote Sensing and Information Engineering, Wuhan, China, (2)Key Laboratory of National Geographic Census (NGC), WuHan, China
 
Mapping Urban Tree Canopy Coverage and Structure using Data Fusion of High Resolution Satellite Imagery and Aerial Lidar (78344)
Arthur Elmes1, John Rogan2, Christopher A Williams2, Deborah G Martin1, Samuel Ratick1 and Dave Nowak3, (1)Clark University, Graduate School of Geography, Worcester, MA, United States, (2)Clark University, Worcester, MA, United States, (3)USDA Forest Service, Northern Research Station, Syracuse, NY, United States
 
Exploring tree species signature using waveform LiDAR data (84508)
Tan Zhou1, Sorin C Popescu1 and Keith Krause2, (1)Texas A&M University, Department of Ecosystem Science and Management, College Station, TX, United States, (2)National Ecological Observatory Network (NEON), Boulder, CO, United States
 
VEGNET - a novel terrestrial laser scanner for daily monitoring of forest canopy dynamics (84590)
Stefan K Arndt1, Anne Griebel2, Glenn Newnham3, Darius Culvenor3 and Lauren T. Bennett4, (1)University of Melbourne, Parkville, Australia, (2)University of Melbourne, Parkville, VIC, Australia, (3)CSIRO Land and Water, Clayton South, Australia, (4)University of Melbourne, School of Ecosystem and Forest Sciences, Creswick, Australia
 
Characterization of Topography and Vegetation Structure using Dual-wavelength LIDAR and High-Resolution Stereo Imagery (83783)
Holly Wallis Leigh1, Lori A Magruder2 and Amy L Neuenschwander2, (1)Applied Research Labs, University of Texas at Austin, Austin, TX, United States, (2)University of Texas at Austin, Austin, TX, United States
 
Estimating Digital Terrain Model in forest areas from TanDEM-X and Stereo-photogrammetric technique by means of Random Volume over Ground model (83986)
Seung-Kuk Lee1, Temilola E Fatoyinbo1, David Lagomasino2, Batuhan Osmanoglu1 and Emanuelle A Feliciano3, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (3)University of Miami, Miami, FL, United States
 
Developing a Method to Mask Trees in Commercial Multispectral Imagery (82670)
Sarah J. Becker, US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States
 
Generating and Evaluation Leaf Area Index (LAI) from MODIS MultiAngle Implementation of Atmospheric Correction (MAIAC) Surface Reflectance Dataset (73397)
Chi Chen1, Taejin Park2, Kai Yan2, Alexei Lyapustin3, Yujie Wang4, Sungho CHOI1, Bin Yang1, Yuri Knyazikhin1 and Ranga B Myneni2, (1)Boston University, Boston, MA, United States, (2)Boston University, Earth & Environment, Boston, MA, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)University of Maryland Baltimore County, Baltimore, MD, United States
 
Distinguishing Bark Beetle-infested Vegetation by Tree Species Types and Stress Levels using Landsat Data (64868)
Ramesh Sivanpillai, University of Wyoming, Laramie, WY, United States, Brent E Ewers, University of Wyoming, Botany, Laramie, WY, United States, Heather Nicole Speckman, University of Wyoming, WyCEHG, Laramie, WY, United States and Scott N Miller, Univ Wyoming, Laramie, WY, United States
 
Characterization, Validation and Intercomparison of Clumping Index Maps from POLDER, MODIS, and MISR Satellite Data Over Reference Sites (64931)
Jan Pisek1, Liming He2, Jing Ming Chen2, Ajit Govind3, Michael Sprintsin4, Youngryel Ryu5, Stefan K Arndt6, Darren Hocking6, Timothy Wardlaw7, Joel Kuusk1, Andrew J Oliphant8, Lauri Korhonen9, Hongliang Fang10, Giorgio Matteucci11, Bernard Longdoz12 and Kairi Raabe1, (1)Tartu Observatory, Tartu, Estonia, (2)University of Toronto, Toronto, ON, Canada, (3)INRA, Bordeaux, France, (4)Jewish National Fund, Eshtaol, Israel, (5)Seoul National University, Seoul, South Korea, (6)University of Melbourne, Parkville, Australia, (7)Forestry Tasmania, Hobart, Australia, (8)San Francisco State University, San Francisco, CA, United States, (9)University of Helsinki, Helsinki, Finland, (10)Institute of Geographical Sciences, Beijing, China, (11)Consiglio Nazionale delle Ricerche, Institute of Agro-Environmental and Forest Biology, Rome, Italy, (12)INRA, Champenoux, France
 
GLOBMAP LAI: A long-term global Leaf Area Index (1982-2014) With Seperation of forest overstory and understory (72226)
Ronggao Liu1, Yang Liu2, Jing Ming Chen3 and Rong Shang1, (1)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)IGSNRR,CAS, Beijing, China, (3)University of Toronto, Toronto, ON, Canada
 
Improved Radiometric Capabilities of Landsat 8, Coupled With Lidar, Estimate Semi-arid Rangeland Biomass and Cover (75321)
Shital Dhakal1, Nancy F Glenn2, Aihua Li1, Lucas Spaete1, Doug J. Shinneman3, Robert Arkle3, David Pilliod3, Susan Mcllroy3 and Charlie Baun4, (1)Boise State University, Boise, ID, United States, (2)Boise State Univ, Boise, ID, United States, (3)USGS, Boise, ID, United States, (4)Idaho Army National Guard, Boise, ID, United States
 
Siberian boreal forest structure estimates from concurrent multi-angle WorldView acquisitions (84210)
Christopher S R Neigh1, Paul M Montesano1, Guoqing Sun2 and Kenneth Ranson1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland College Park, College Park, MD, United States
 
Improving the frequency of high spatial resolution leaf area index maps using Landsat OLI and Sentinel-2 MSI (84805)
Shuang Li1,2, Sangram Ganguly1,3, Jennifer L Dungan1, Gong Zhang1,3, Junchang Ju4, Martin Claverie5 and NASA Earth Exchange (NEX), (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)University Corporation Monterey, Seaside, CA, United States, (3)Bay Area Environmental Research Institute Moffett Field, Moffett Field, CA, United States, (4)Universities Space Research Association Columbia, Columbia, MD, United States, (5)University of Maryland College Park, College Park, MD, United States
 
Assessment of Vegetation Destruction Due to Wenchuan Earthquake and Its Recovery Process Using MODIS Data (86472)
Zhenhua Zou and Xiangming Xiao, University of Oklahoma Norman Campus, Norman, OK, United States
 
The Relationship between Vegetation and Topographic Patterns in Coastal Dunes from LiDAR and Optical Remote Sensing (73038)
Fateme Yousefi Lalimi1, Sonia Silvestri2, Laura J. Moore3 and Marco Marani1, (1)Duke University, Durham, NC, United States, (2)Duke University, Earth and Ocean Sciences, Durham, NC, United States, (3)UNC-Geological Sciences, Chapel Hill, NC, United States
 
Evaluation of unmanned aerial vehicle (UAV) imagery to model vegetation heights in Hulun Buir grassland ecosystem (69094)
Dongliang Wang, CAAS Chinese Academy of Agricultural Sciences, Beijing, China
 
Remote sensing approach to map riparian vegetation of the Colorado River Ecosystem, Grand Canyon area, Arizona (68132)
Uyen Nguyen, University of Arizona, Tucson, AZ, United States
 
Mapping seagrass beds and coral reefs in the coastal region of Vietnam using VNREDSAT-1 data (67786)
Khin Va Lau1, Chi-Farn Chen1, Son Thanh Nguyen2, Cheng-Ru Chen3, Hoang-Son Tong Phuoc4 and Huu-Huan Nguyen4, (1)NCU National Central University of Taiwan, Jhongli, Taiwan, (2)NCU National Central University of Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan, (3)Center for Space and Remote Sensing Research, Chung-Li, Taiwan, (4)Institute of Oceanography - Vietnam Academy of Science and Technology, Nha Trang, Vietnam
 
Exploring the Potential of TanDEM-X Data in Rice Monitoring (66907)
Esra Erten, Istanbul Technical University, Geomatics Engineering, Istanbul, Turkey
 
Forest Vertical Structure of Sierra Nevada Observed by the First Spaceborne Tandem SAR Mission (61888)
Wenlu Qi1, Anu Swatantran2 and Ralph Dubayah1, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, MD, United States
 
Flying Under the LiDAR: Relating Forest Structure to Bat Community Diversity (83038)
Anna Christine Swanson, University of Central Florida, Biology, Orlando, FL, United States and John F Weishampel, University of Central Florida, Orlando, FL, United States
 
Black-backed woodpecker habitat suitability mapping using conifer snag basal area estimated from airborne laser scanning (75164)
Ángeles Casas Planes1, Mariano Garcia2, Rodney Siegel3, Alexander Koltunov1, Carlos Ramirez4 and Susan Ustin1, (1)University of California Davis, Davis, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)The Institute for Bird Populations, Point Reyes Station, CA, United States, (4)USDA Forest Service, Mcclellan Afb, CA, United States
 
INTEGRATION OF CANOPY HEIGHT INFORMATION DERIVED FROM STEREO IMAGERY WITH SAR BACKSCATTER DATA TO IMPROVE BIOMASS MAPPING (73721)
Jon Ranson1, Guoqing Sun2 and Paul M Montesano1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland College Park, College Park, MD, United States
 
The Price of Precision: Large-Scale Mapping of Forest Structure and Biomass Using Airborne Lidar (59979)
Ralph Dubayah, University of Maryland, College Park, MD, United States
 
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