Conference Agenda

Towards Automated Detection of Brazilian Pine in Open Environments Using UAV Data and YOLOv11

Cindy Fernandes Mendes¹, Veraldo Liesenberg¹, Raul Queiroz Feitosa², Pedro Henrique Pereira Guedes², Laura Fuchigami Farias¹, Sara Vitória Andrade Aguiar e Silva¹, Henrique Genske Teodoro¹, Victor Mohamad Bortolozzo Dabbous¹, Vicenzo Lemos Waltrick¹, João Victor Schimalski¹, Marcos Benedito Schimalski¹

1: Santa Catarina State University (UDESC), Brazil; 2: Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil

Tracking Landscape Transformation in the Eastern Amazon Through LiDAR and MapBiomas Time-Series

Derica dos Santos Sousa¹, Veraldo Liesenberg¹, Polyanna da Conceição Bispo², Rorai Pereira Martins Neto³, Leonardo Josoé Biffi¹, Silvio Cesar Oliveira Colturato⁴, Marcos Benedito Schimalski¹

1: Santa Catarina State University (UDESC), Brazil; 2: University of Manchester, UK; 3: Czech University of Life Sciences Prague, Czech Republic; 4: Federal University of Mato Grosso (UFMT), Brazil

Assessing biodiversity and succession at disturbed forest sites using multi-sensor data and object-segmentation

Max Mangold^1,2, Jakob Ebnbeck¹, Caileigh Shoot³, Robert Jackisch³, Christine Wallis³, Marco Heurich^1,2,4

1: Wildlife Ecology and Conservation Biology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany; 2: Bavarian Forest National Park, Department for National Park Monitoring and Animal Enclosures, Germany; 3: Geoinformation in Environmental Planning, Institute of Landscape Architecture and Environmental Planning, Technical University of Berlin, Germany; 4: Institute for Forest and Wildlife Management, Inland Norway University of Applied Sciences, Koppang, NO-34, Norway

Multi-Method Ensemble Classification for Post-Replantation Recovery Assessment using NDVI Time Series in Madagascar

Phan Viet Hoa Vu, Carlos Dewasseige, Justine Huge

CLS GROUP, France

Six years of global forest biomass change from the Global Ecosystem Dynamics Investigation

Jamis Bruening¹, Amelia Holcomb¹, John Armston¹, Tiago De Conto¹, Sean Healey², Adrian Pascual¹, Zhiqiang Yang², Ralph Dubayah¹

1: University of Maryland, United States of America; 2: US Forest Service, Rocky Mountain Research Station, Riverdale, UT, USA

Evaluating Structural and Climatic Controls on Forest Water Yield through Evapotranspiration Dynamics

Lindsey Finks, Daniel McLaughlin, Brian Strahm

Virginia Tech, United States of America

Variation in beetle and tree-related microhabitat diversity in relation to forest tree species under future climate conditions

Elia Vangi¹, Giovanni D'Amico¹, Saverio Francini², Davide Travaglini¹, Gherardo Chirici¹, Marco Marchetti³, Francesco Parisi³

1: University of Florence, Italy; 2: University of Bologna, Italy; 3: University of Molise, Italy

A systematic review and meta-analysis of airborne lidar-based forest aboveground biomass estimation

Nisham Thapa¹, Lana L. Narine¹, Alan E. Wilson², Favour Onyido³

1: College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL, USA; 2: School of Fisheries, Aquaculture, and Aquatic Sciences, Auburn University, Auburn, AL, USA; 3: College of Forestry, Wildlife, and Environment, Auburn University

An Earth Observation-based Framework for Monitoring Forest Aboveground Biomass

Janaki Sandamali, Lana L. Narine, Favour Onyido

Auburn University, United States of America

Modeling Tree Mortality Across Scales Using Remote Sensing and Field Measurements

Jeftey Saint Fleur¹, Carlos Alberto Silva², William Hammond¹

1: Agronomy Department, University of Florida, Gainesville, FL 32611, USA; 2: School of Forests, Fisheries, and Geomatic Sciences, University of Florida, Gainesville, FL 32611, USA

Remote Sensing for Forest Biodiversity: Modelling Tree Microhabitats at National Scale

Giovanni D'Amico¹, Francesco Parisi², Elia Vangi¹, Davide Travaglini¹, Gherardo Chirici¹, Costanza Borghi¹, Beatrice Petti², Marco Ottaviano², Marco Marchetti³, Saverio Francini⁴

1: University of Florence; 2: University of Molise; 3: La Sapienza University; 4: University of Bologna

Saproxylic Microhabitats (SaproMs): A Tool for Integrating Biodiversity Conservation into Sustainable Forest Management

Costanza Borghi¹, Francesco Parisi², Saverio Francini³, Elia Vangi¹, Giovanni D'Amico¹, Marco Marchetti⁴, Davide Travaglini¹, Gherardo Chirici¹

1: Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine, 50144 Firenze (FI), Italy; 2: Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone, 86090 Pesche (Is), Italy; 3: Department of Science and Technology of Agriculture and Environment (DISTAL), University of Bologna, 40126 Bologna, Italy; 4: Department of Architecture and Design, Sapienza University of Rome, Via Flaminia, 359, 00196 Rome, Italy

Unit-level National-scale small-area estimation in Italy

Elia Vangi¹, Giovanni D'Amico¹, Saverio Francini², Costanza Borghi¹, Giancarlo Papitto³, Gherardo Chirici¹

1: University of Florence, Italy; 2: University of Bologna, Italy; 3: Arma Dei Carabinieri, Ambientali E Agroalimentari, Comando Unità Forestali

Satellite-Based Monitoring of Cork Oak Woodlands: Current Applications, Gaps, and Perspectives

Emma Bambagioni¹, Solaria Anzilotti², Costanza Borghi^6,3, Gherardo Chirici^6,3, Fabio Salbitano^4,2, Marco Marchetti^5,2, Saverio Francini¹

1: Department of Science and Technology of Agriculture and Environment (DISTAL), University of Bologna, 40127 Bologna, Italy; 2: Fondazione AlberItalia, 47018 Santa Sofia, Italy; 3: Fondazione per il Futuro delle Città, 50127 Florence, Italy; 4: Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy; 5: Department of Architecture and Project, University of Rome, La Sapienza, Piazza Borghese 9, 00186 Rome, Italy; 6: Department of Agriculture, Food, Environment and Forest Science and Technology (DAGRI), University of Florence, 50144 Florence, Italy

Comparing ITD Method Performance Across Artificially Thinned Point Clouds from High-Density Airborne Lidar

Daniel Rode¹, Jessie Eastburn¹, Patrick Fekety¹, Leah Rathbun², Kelly Meehan³, Jody Vogeler¹

1: Natural Resources Ecology Laboratory - Colorado State University; 2: LCR EcoAnalytics; 3: USDA Forest Service

Improving Loblolly Pine Stand Mapping in Southern Brazil with Multi-Sensor Remote Sensing;

Marchante Olímpio Assura Ambrósio^1,2, Veraldo Liesenberg¹, Marcos Benedito Schimalski¹, João Victor Schimalski¹, Cindy Fernandes Mendes¹

1: Universidade do Estado de Santa Catarina (UDESC), Brazil; 2: Zambeze University , Mozambique

i-ATL08: An improved ICESat-2 ATL08 classification method to include urban features

Justinn J. Jones, Hailey Schmidt Melzow, Sorin C. Popescu

Texas A&M University, United States of America

Toward Causal AI for Ecological Decision-Making: A Framework for Woody Plant Encroachment and Land Management

Hailey Schmidt Melzow^1,2, Javier Osorio Leyton^1,2, Sorin Popescu³

1: Dept. of Rangeland, Wildlife, & Fisheries Management, Texas A&M University, United States of America; 2: Blackland Research and Extension Center, Texas A&M AgriLife Research, United States of America; 3: Dept. of Ecology and Conservation Biology, Texas A&M University, United States of America

Global evaluation of the spectral variation hypothesis with hyperspectral satellite imagery

Emmelia Braun¹, Charles Southwick¹, Maquelle Garcia¹, Fred Huemmrich², Petya Campbell², Kelvin Acebron^3,4, Na Wang⁵, Sean McMahon³, Loren Albert¹

1: Oregon State University, United States of America; 2: University of Maryland, Baltimore County, United States of America; 3: Smithsonian Environmental Research Center, United States of America; 4: University of Bonn, Germany; 5: University of Melbourne, Australia

Scaling Plot-Level Pyrogenic Carbon Inventories to Regional Estimates Across Western Cascades Fire Footprints

Hayley Peter-Contesse¹, Aron Boettcher², Yuzhe Wang³, Cristina Winters Borcich¹, Sebastian Hjelstrom⁴, Matthew Dickinson⁵, Jessica Miesel⁶, Steven Perakis⁷, Georgia Seyfried¹, Jacob J. Bukoski¹

1: Oregon State University; 2: University of Hawaiʻi; 3: Fujian Agriculture and Forestry University; 4: Swedish University of Agricultural Sciences; 5: United States Forest Service; 6: University of Idaho; 7: U.S. Geological Survey

Positional accuracy of digital terrain models (DTM) generated by LiDAR/UAV in areas with vegetation cover along highways

Marcos Benedito Schimalski, Felipe Canello de Camargo, João Victor Schimalski, Veraldo Liesenberg, Cindy Fernandes Mendes

Santa Catarina State University, Brazil

Classification and Spatialization of Commercial Forest Stands (Pinus and Eucalyptus) in Santa Catarina State

Marcos Benedito Schimalski¹, Tiago Mioto², Veraldo Liesenber¹, João Victor Schimalski¹, Cindy Fernandes Mendes¹

1: Santa Catarina State University, Brazil; 2: Santa Catarina State Departament of Agriculture

Woody Vegetation Structural Monitoring

Lydia Li¹, Robert Denham¹, Dan Tindall²

1: University of Queensland, Australia; 2: Queensland Department of the Environment, Tourism, Science and Innovation

EMS4D: multi-scale fuel mapping and decision support system for next generation of fire management

Inacio Bueno¹, Carlos Silva¹, Francisco Mauro², Andrew Hudak³, Eben Broadbent¹, Andres Susaeta⁴, Jason Vogel¹, Russell Parsons⁵, Inga La Puma³, Michael Campbell⁶, Jeff Atkins⁷, Carine Klauberg¹

1: School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611,USA; 2: Instituto Universitario de Investigación en Gestión Forestal Sostenible, University of Valladolid, 42004 Soria, Spain; 3: USDA Forest Service, Rocky Mountain Research Station, Moscow, ID 83843, USA; 4: Department of Forest Engineering, Resources and Management, Oregon State University, Corvallis, OR 97331, USA; 5: USDA Forest Service, Fire Sciences Lab, Missoula, MT 59808, USA; 6: School of Environment, Society & Sustainability, University of Utah, Salt Lake City, UT 84112, USA; 7: Virginia Commonwealth University, Richmond, VA 23284, USA

Time-series of canopy height maps using Google’s Alpha Earth Foundations calibrated with airborne lidar and post-fire GEDI data to improve estimates over burned areas

Adrian Pascual¹, Juan Guerra Hernandez²

1: University of Maryland, United States of America; 2: Forest Research Centre, School of Agriculture, University of Lisbon, Instituto Superior de Agronomia (ISA), Lisboa, Portugal

Airborne LiDAR waveform features as a basis for enhanced forest structure representation

Antti Polvivaara¹, Ilkka Korpela², Samuli Junttila¹

1: University of Eastern Finland, Finland; 2: University of Helsinki, Finland

Automatic above-canopy radiance prediction from below-canopy fish-eye image for canopy gap fraction measurement

Gastón Mauro Díaz^1,2, Mait Lang^3,4, Jan Pisek³, Lauri Korhonen⁵, Birgitta Putzenlechner⁶, Matti Maltamo⁵

1: National Scientific and Technical Research Council—Argentina (CONICET), Argentina; 2: Patagonian Andean Forest Research and Extension Center (CIEFAP), Esquel, Argentina; 3: Tartu Observatory, University of Tartu, 61602 Tõravere, Estonia; 4: Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014 Tartu, Estonia; 5: School of Forest Sciences, University of Eastern Finland, 80101 Joensuu, Finland; 6: University of Göttingen, Competence Center Landscape Resilience, 37077 Göttingen, Germany

Remote sensing support for small forest owners decision making as a free smartphone-app to indicate young forest maintenance necessity

Mait Lang^1,2, Oleksandr Borysenko¹

1: Tartu Observatory, University of Tartu, 61602 Tõravere, Estonia; 2: Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014 Tartu, Estonia

Efficient In-Forest Data Collection Technology Using Drone-Based LiDAR

Akira Kato¹, Narumasa Tsutsumida², Yoshito Sawada¹, Seitaro Yamada¹, Satoshi Suzuki¹, Toshiyuki Nakata¹

1: Chiba University, Japan; 2: Saitama University, Japan

Combining terrestrial and drone lidar with improved allometric equations to estimate mangrove biomass at community and landscape scales

Charles Price¹, Todd Schroeder², Benjamin Branoff², Eben Broadbent³, Humfredo Marcano-Vega², Edward Castañeda-Moya⁴, Skip Van Bloem⁵, Karen Cummins⁶, Danielle Ogurcak⁷, Monica Papeș¹

1: University of Tennessee; 2: US Forest Service, Southern Research Station; 3: University of Florida; 4: Department of Environmental Resources Management (DERM), Miami-Dade County; 5: Clemson University; 6: Tall Timbers; 7: Florida International University

Inter-disciplinary Applications of Laser Remote Sensing in Vegetation Studies: A Technical Review on Advances in Sensors and Methods

Nadeem Fareed, Carlos Alberto Silva

University florida, United States of America

Pan-tropical tree plantation extent and expansion into natural forests

Alexandra Tyukavina, Diana Parker, Svetlana Turubanova, Pickens Amy, Xinyuan Li, Matthew Hansen

University of Maryland, United States of America

Using GIS to assess soil carbon distribution under different forest management regimes

Victoria Alden, Rebecca Barringer, Alanis Bernis, Christine Mutiti

Georgia College & State University, United States of America

Applications of Citizen Science in Enhancing Satellite Estimation of Tree Canopy Height

Jacob Hall, Evelyn Albanese, Justinn Jones, Sorin Popescu

Texas A&M University, United States of America

Validating NAIP Point Cloud-Derived Canopy Height Models in Diverse Forest Types of the Southern U.S.

Chandan Kumar¹, Todd A. Schroeder², Monica Papes^1,3, Charles A. Price³

1: The National Institute for Modeling Biological Systems (NIMBioS), University of Tennessee, 1122 Volunteer Blvd., Knoxville, TN 37996-3410; 2: United States Department of Agriculture, Forest Service, Southern Research Station, 2730 Cherokee Farm Way, Suite 101, Knoxville, TN 37920; 3: The Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall, Knoxville, TN 37996-1610

Towards unbiased and precise estimates of tree canopy cover using point cloud data

Demetrios Gatziolis

USDA Forest Service, United States of America

Forest Biomass Modelling with GEDI and Sentinel-2 Data: A Comparison Between Ensemble Algorithms and Convolutional Neural Networks

Norma Ey Beltrao

University of Para State, Brazil

Influence of Airborne LiDAR Spatial Resolution on Detecting Temporal Changes in a Tropical Rainforest of Eastern Amazonia

Raiany de Oliveira Silva¹, Veraldo Liesenberg¹, Izabelle Maria Barboza de Azevedo¹, João Victor Schimalski¹, Emanuel Araújo Silva², Juliana Marchesan³, Marcos Benedito Schimalski¹

1: Universidade do Estado de Santa Catarina (UDESC), Santa Catarina, Brazil; 2: Universidade Federal de Santa Maria (UFSM), Rio Grande do Sul, Brazil; 3: Secretaria da Agricultura, Pecuária, Produção Sustentável e Irrigação (SEAPI/RS), Rio Grande do Sul, Brazil

Integrating HLS time series and GEDI to improve biomass mapping in fragmented Atlantic Forests of Brazil

Rodrigo Vieira Leite^1,2, Paul Montesano¹, Qiang Zhou^1,3, Margaret Wooten^1,3, Jordan Caraballo-Vega¹, Christopher Neigh¹

1: NASA Goddard Space Flight Center, United States of America; 2: Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.; 3: Science Systems and Applications, Inc (SSAI), contractor to NASA GSFC, Maryland, 20771, USA

Validation of GEDI Lidar Biomass Estimates in Dense Tropical Forests of Eastern Amazonia

Caio Brito, Norma Ey Beltrao

University of Para State, Brazil

Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands

Yifang Shi¹, Jinhu Wang², W. Daniel Kissling³

1: University of Amsterdam, Netherlands, The; 2: Institute for Biodiversity and Ecosystem Dynamics (IBED); 3: P.O. Box 94240, 1090 GE Amsterdam, The Netherlands

From Point Clouds to Prop Roots: Evaluating Automated vs QSM TLS Workflows Across Tidal Forested Wetlands

Elisabeth Powell¹, Lola Fatoyinbo³, David Lagomasino⁴, Doug Morton¹, Ralph Dubayah²

1: NASA Goddard Space Flight Center, United States of America; 2: Geographical Sciences, University of Maryland, College Park, MD, USA; 3: Environment and Sustainability, Massachusetts Institute of Technology, Cambridge, MA, USA; 4: Department of Coastal Studies, East Carolina University, Greenville, NC, USA

Assessing Post-Storm Forest Disturbance in the United Kingdom Using Remote Sensing Time Series and Machine Learning Approaches

Tijs Kuzee¹, Tommaso Locatelli², Mike Perks^2,3, Georgios Xenakis², Paul Burgess¹, Abdou Khouakhi¹

1: Cranfield University, United Kingdom; 2: Forest Research; 3: University of Edinburgh, School of Geosciences

A Remote Sensing Framework for Brown Spot Needle Blight: Bibliometric Gaps and UAV-Based Solutions

Swati Singh, Lana L. Narine

Auburn university

Evaluating size and competition as confounders of tree structural economics using architectural metrics from mobile mapping system LiDAR

Zachary Horve¹, Sangyoon Park², Noah Scott Lyon¹, Brady Hardiman^1,3, Ayman Habib², Songlin Fei¹

1: Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA; 2: Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA; 3: Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, USA

CMS4D: A Multi-Scale Data Fusion Prototype System for the next Generation of Carbon Dynamics Monitoring from Space: A Case Study in the Brazilian Cerrado – Fire and Fuel in a Biodiversity Hotspot

Carlos Silva

University of Florida, United States of America

Detecting 40 Years of Forest Disturbance in the Continental United States with Deep Learning

Linus Scheibenreif, Anton Raichuk, Maxim Neumann

Google DeepMind, Switzerland