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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-20.3

MAPPING INVASIVE PHRAGMITES IN SENSITIVE WETLANDS USING UNMANNED AREIAL VEHICLE IMAGERY AND RANDOM FOREST MACHINE LEARNING

Morgan Hrynyk, Amir Behnamian, Sarah Banks, Taylor Harmer, Matt Giles, Lori White, Zhaohua Chen, Ryan Hamilton, Jon Pasher, Jason Duffe, Environment and Climate Change Canada, Canada
Session:
UAV and Close Sensing Applications I
Track:
Special Themes
Presentation Time:
Thu, 15 Jul, 09:00-09:15 (UTC)
Thu, 15 Jul, 11:00-11:15 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 17:00-17:15 China Standard Time (UTC +8)
Thu, 15 Jul, 05:00-05:15 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Amir Behnamian, Physical Scientist/ Environment and Climate Change Canada and Liesbeth De Keukelaere , VITO
Session Manager:
Eduard Khachatrian
Presentation
Discussion
Resources
Session TH1.O-20
TH1.O-20.1: AUTOMATED UAS MEASUREMENTS OF REFLECTANCE AND SOLAR INDUCED FLORESCENCE (SIF) FOR ASSESSMENT OF THE DINAMICS IN PHOTOSYNTHETIC FUNCTION, APPLICATION FOR MAZE (ZEA MAYS L.) IN GREENBELT, MARYLAND, USA
Petya Campbell, University of Maryland Baltimore County, United States; Philip Townsend, University of Wisconsin, United States; Dan Mandl, James MacKinnon, NASA Goddard Space Flight Center, United States; Lawrence Ong, Science Systems and Applications, Inc., United States
TH1.O-20.2: RANDOM FOREST OUTPERFORMED CONVOLUTIONAL NEURAL NETWORKS FOR SHRUB WILLOW ABOVE GROUND BIOMASS ESTIMATION USING MULTI-SPECTRAL UAS IMAGERY
Haifa Tamiminia, Bahram Salehi, State University of New York, College of Environmental Science and Forestry (ESF), United States; Masoud Mahdianpari, C-CORE and Memorial University of Newfoundland, Canada; Colin M. Beier, Daniel J. Klimkowski, Timothy A. Volk, State University of New York, College of Environmental Science and Forestry (ESF), United States
TH1.O-20.3: MAPPING INVASIVE PHRAGMITES IN SENSITIVE WETLANDS USING UNMANNED AREIAL VEHICLE IMAGERY AND RANDOM FOREST MACHINE LEARNING
Morgan Hrynyk, Amir Behnamian, Sarah Banks, Taylor Harmer, Matt Giles, Lori White, Zhaohua Chen, Ryan Hamilton, Jon Pasher, Jason Duffe, Environment and Climate Change Canada, Canada
TH1.O-20.4: BRDF SAMPLING FROM HYPERSPECTRAL IMAGES: A PROOF OF CONCEPT
Juan M. Jurado, University of Jaén, Spain; Luís Pádua, Jonas Hruska, University of Trás-os-Montes e Alto Douro, Portugal; Roberto Jiménez, Francisco R. Feito, University of Jaén, Spain; Joaquim J. Sousa, Universidade de Trás-os-Montes e Alto Douro, Portugal
TH1.O-20.5: QUANTIFYING TROPICAL FOREST STAND STRUCTURE THROUGH TERRESTRIAL AND UAV LASER SCANNING FUSION
Louise Terryn, Kim Calders, Ghent University, Belgium; Harm Bartholomeus, Wageningen University, Netherlands; Renée Bartolo, Australian Government, Australia; Benjamin Brede, Wageningen University, Netherlands; Barbara D'hont, Ghent University, Belgium; Mathias Disney, University College London, United Kingdom; Martin Herold, Alvaro Lau, Wageningen University, Netherlands; Alexander Shenkin, University of Oxford, United Kingdom; Timothy Whiteside, Australian Government, Australia; Phil Wilkes, University College London, United Kingdom; Hans Verbeeck, Ghent University, Belgium
TH1.O-20.6: MULTI-SCALE ANALYSIS OF DEMs DERIVED FROM UNMANNED AERIAL VEHICLE (UAV) IN PRECISION AGRICULTURE CONTEXT
Abderrazak Bannari, Space-Pix Map, Canada; Ahmed Selouani, Geofly Society of Geomatics, Morocco; Mohamed El-Basri, GRND, Research center CERN2D, ENS - University Mohamed-V, Morocco; Hassan Rhinane, University Hassan II, Morocco; Abderrazak El-Harti, Abderrahman El-Ghmari, University Sultan Moulay Slimane, Morocco

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