Conference Agenda

Large-Scale Reconstruction of Realistic 3D Forest Voxel-Based Scenes from Airborne Lidar Data

Cailin Zhou¹, Tiangang Yin¹, Shanshan Wei², Weiwei Tan¹, Qi Chen¹

1: Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University, Hong Kong S.A.R. (China); 2: Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Singapore

A sensitivity study of satellite jitter’s effect on forest canopy surface retrieval

Weiwei Tan¹, Tiangang Yin¹, Shaodong Wei¹, Cailin Zhou¹, Jean-Philippe Gastellu-Etchegorry², Nicolas Lauret², David Shean³, Ameni Mkaouar⁴, Oleg Alexandrov⁵, Christopher Neigh⁶

1: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong; 2: Centre d’Etudes Spatiales de la Biosphère – UT3, CNES, CNRS, IRD, Université de Toulouse, 31401 Toulouse Cedex 9, France; 3: Civil and Environmental Engineering, University of Washington, Seattle, WA, United States; 4: Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; 5: Intelligent Robotics Group, NASA Ames Research Center, M/S 269-3, Moffet Field, CA 94035, USA; 6: Hydrospheric and Biospheric Sciences Laboratory, Code 614.4, Greenbelt, Maryland 20771, United States

Airborne Lidar Pulse Density Thinning Effects on Area-based Forest Inventory Metrics

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

1: Natural Resources Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA; 2: LCR EcoAnalytics; 3: USDA Forest Service

An improved canopy height model for the forest-tundra ecotone

Jack Marchant, Daniel Donoghue, Robert Baxter

Durham University, United Kingdom

Deriving 3D fuels characteristics from terrestrial lidar data to inform fuel treatment strategy

Birgit Peterson, Seth Price

US Geological Survey, United States of America

Enhancing Wildfire Risk Assessment in Canada through Continuous Hazardous Fuel Classification Using Harmonized Landsat and Sentinel-2 Data

Stuart Krause¹, Jen Beverly²

1: Cabin Resource Management Ltd., Canada; 2: University of Alberta, Canada

: The effect of fuel treatments in the Sierra Nevada: Integrating multi-scale remote sensing data to create high quality three-dimensional inputs for fire behavior modeling

Olivia Chandrasekhar, Seth Price, Sophie Bonner

KBR, contractor to the USGS, United States of America

vostokR: Integrating Lidar and Solar Radiation Modeling in R

Andrew Sánchez Meador

Ecological Restoration Institute, Northern Arizona University

Comparing k-Nearest Neighbor and Convolutional Neural Network Approaches for Generating Spatially Explicit Tree Lists in Mediterranean Pine Forests

José Bernardo González-Mesquida¹, Chad Babcock², Francisco Rodríguez-Puerta¹, José Antonio Manzanera³, Darío Domingo-Ruiz¹, Manuel Gomex-Roux¹, Francisco Mauro-Gutiérrez¹

1: Universidad de Valladolid - iuFOR; 2: University of Minnesota; 3: Universidad Politécnica de Madrid - SILVANET

From Accuracy to Interpretability: Assessing Hyperparameter Sensitivity and SHAP Consistency in Forest Volume and Carbon Modelling

Giovanni D'Amico¹, Alessandro Montaghi², Elia Vangi¹, Mattia Niccoli¹, Costanza Borghi¹, Gherardo Chirici¹

1: University of Florence; 2: CNR

A Machine Learning Approach for Large-Scale Mapping of Old-Growth Forest Probability in Italy

Costanza Borghi¹, Giovanni D'Amico¹, Francesco Solano², Titomanlio Pepe², Elia Vangi¹, Mattia Niccoli¹, Francesco Parisi³, Davide Travaglini¹, Giancarlo Papitto⁴, Gianluca Piovesan⁵, Gherardo Chirici¹

1: Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine, 50144 Firenze (FI), Italy; 2: Department of Agriculture and Forest Sciences, University of Tuscia, via San Camillo de Lellis s/n, 01100 Viterbo, Italy; 3: Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone, 86090 Pesche (Is), Italy; 4: Arma dei Carabinieri, Comando Unità Forestali Ambientali Agroalimentari, Via. G. Carducci 5, Rome, 00187, Italy; 5: Department of Ecological and Biological Sciences, University of Tuscia, Largo dell’Università s/n, 01100 Viterbo, Italy

Enhancing forest inventory and Analysis through satellite derived embeddings

Alexander Young¹, Andrew Lister², John Hogland³

1: University of New Hampshire, United States of America; 2: USDA Forest Service Northern Research Station; 3: USDA Forest Service Rocky Mountain Research Station

Evaluating ICESat-2-Derived Canopy Cover for Large-Area Forest Mapping

Lana Narine¹, Sorin Popescu²

1: Auburn University, United States of America; 2: Texas A&M University

Continental-Scale Forest Height Dynamics Using Integrated GEDI and ICESat-2 Lidar Data

Sorin Popescu¹, Justinn Jones¹, Hailey Melzow¹, Lonesome Malambo², Lana Narine³, Andrew Hudak⁴, Andrew Lister⁴, Horia Olariu¹, Mei-Kuei Lu¹

1: Texas A&M University, United States of America; 2: Texas A&M Forest Service; 3: Auburn University; 4: USDA Forest Service

Continental and global-scale canopy height modeling: space-lasers to cloud-computing

Justinn J. Jones, Hailey Schmidt Melzow, Sorin Popescu

Texas A&M University, United States of America

ICESat-4D: Monitoring Forest Resistance and Post-Hurricane Recovery Dynamics in Southern Forests by the Synergism of ICESat-2, SAR, and Optical Data and AI

Carlos Silva

University of Florida, United States of America

Using terrestrial lidar to understand hurricane-adaptive canopy traits in pine species from the Southeastern US to The Bahamas

Jeffery B. Cannon¹, Chambers J. English^1,2, Michaella A. Ivey¹, Jacob S. Fraser³, Benjamin O. Knapp⁴, L. Tanner Warren¹, Andrew W. Whelan¹, Nicole E. Zampieri^1,2, Brittany Harris⁵, Latonya Williams^5,6, Cara Rockwell⁵

1: The Jones Center at Ichauway, USA; 2: University of Georgia, USA; 3: USDA Forest Service, Northern Research Station, USA; 4: University of Missouri, USA; 5: Florida International University, USA; 6: Ministry of Environment & Natural Resources, The Bahamas

Gone with the wind: Assessing disease progression and hydraulic conductivity of pine trees exposed to extreme winds of hurricane Helene.

Tania Quesada¹, Christy Walton², William Hammond³

1: School of Forest, Fisheries, and Geomatic Sciences, University of Florida, United States of America; 2: School of Natural Resources and Environment, University of Florida, United States of America; 3: Agronomy Department, University of Florida, United States of America

Long-term effects of canopy scorch on mitigating hurricane damage using long-term data and terrestrial lidar

Morné le Roux¹, Timothy Shearman¹, Jeffery B. Cannon², Brandon T. Rutledge²

1: Auburn University; 2: The Jones Center at Ichauway

Storm-driven Acceleration of Coastal Forest Retreat and Ghost Forest Formation

Daniel Donahoe¹, Valerie Thomas¹, Elizabeth Hunter^2,3

1: Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, United States; 2: U.S. Geological Survey, Virginia Cooperative Fish and Wildlife Research Unit, Blacksburg, United States; 3: Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, United States

Assessment of stem straightness in mediterranean forest species using Handheld Laser Scanning: An Italian case study

Serena Sofia¹, Andrea Laschi², Marcello Miozzo¹, Marco Niccolini¹, Marco Perrino¹, Federico Guglielmo Maetzke², Simone Fiornovelli¹

1: D.R.E.AM. ITALIA company, Italy; 2: Università degli studi di Palermo

Terrestrial Laser Scanning (TLS) Data Collection and Integration: Geospatial Innovations in Location Sampling and On-the-Ground Efficiency

Seth Price¹, Joshua Picotte², Chris Woody², Ethan Ilse³, Katelyn Woolfrey¹, Hazel Mebius¹, Peter Streufert³

1: KBR, United States of America; 2: United States Geological Survey (USGS); 3: C2G, Unites States of America

Exploring the Potential of the Mandeye Handheld LiDAR System for Ecosystem Characterization

Cosme Hernanz-Gilbert¹, Carlos Cabo², Álvaro Moreno-Martínez³, Norman Moreno-Matute¹, Mónica Herrero-Huerta¹

1: Desertification Research Centre (CIDE) - CSIC, Spain; 2: Department of Mining Exploitation, University of Oviedo, Oviedo, Spain; 3: Department of Mining Exploitation, University of Oviedo, Spain

Benchmarking Tree Instance Segmentation Algorithms: A Comprehensive Evaluation of Performance Across Diverse LiDAR Datasets and Forest Conditions

Stefan Reder Koithahn¹, Josafat-Mattias Burmeister², Andreas Tockner³, Markus Engel⁴, Rico Richter², Jan-Peter Mund¹, Jürgen Döllner^2,5

1: Eberswalde University of Sustainable Development, Department of Forestry, Eberswalde, Germany; 2: University of Potsdam, Digital Engineering Faculty, Potsdam, Germany; 3: BOKU University, Department of Ecosystem Management, Climate and Biodiversity, Institute of Forest Growth, Wien, Austria; 4: State Forestry Research Centre, Eberswalde, Germany; 5: Hasso Plattner Institute, Potsdam, Germany

Flareless: A Hybrid Machine Learning and AHP Approach for High-Resolution Forest Fire Risk Assessment

Bill Herbert Ziegelmaier Neto^1,2, Marcos Benedito Schimalski¹, Veraldo Liesenberg¹, João Victor Schimalski¹, Cindy Fernandes Mendes¹

1: Universidade do Estado de Santa Catarina (UDESC), Brazil; 2: Quiron Digital, Brazil

A vision for multiscale mapping of disaggregated fuel bed components and consumption

Andrew Hudak¹, Francisco Mauro², Nuria Sánchez López³, Mickey Campbell⁴, Benjamin Bright¹

1: US Forest Service, United States of America; 2: Universidad de Valladolid, Spain; 3: Universidad de Oviedo, Spain; 4: University of Utah, United States of America

Fire progression and severity across fuel treatments in the Western United States

Jonathan Batchelor

University of Montana, United States of America

Good fire: quantifying the beneficial ecosystem work of western U.S. wildfires (2010-2020)

Jennifer Balch², Tyler McIntosh², Nyani Illangakoon², Karen Cummins³, J. Morgan Varner³, Winslow Hansen⁴, Kate Dargan Marquis⁵, Crystal Raymond⁶, Brian Harvey⁶, Rutherford Platt¹

1: Gettysburg College, United States of America; 2: Earth Lab, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA; 3: Tall Timbers Research Station, Tallahassee, FL, USA; 4: Cary Institute of Ecosystem Studies, PO Box AB, Millbrook, NY, USA; 5: Gordon and Betty Moore Foundation, 1661 Page Mill Road, Palo Alto, CA USA; 6: School of Environmental and Forest Sciences, University of Washington, Seattle, WA USA

Predicting Forest Inventory Parameters from Remote Sensing Data: Comparison of Random Forest and Deep Learning Approaches

Isabelle Klein^1,2, Maximilian Pichler³, Christine Hechtl^1,2, Jakob Ebenbeck¹, Rupert Seidl^4,5, Florian Hartig³, Marco Heurich^1,2,6

1: Department of Visitor Management and National Pak Monitoring, Bavarian Forest National Park, 94481 Grafenau, Germany; 2: Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, 79106 Freiburg, Germany; 3: Theoretical Ecology, University of Regensburg, Regensburg, Germany; 4: School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising 85354, Germany; 5: Berchtesgaden National Park, Doktorberg 6, Berchtesgaden 83471, Germany; 6: Inland Norway University of Applied Science, Institute for Forest and Wildlife Management, 2480 Koppang, Norway

Scaling Up Forest Vision with Synthetic Data

Yihang She, Andrew Blake, David Coomes, Srinivasan Keshav

University of Cambridge, United Kingdom

Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests

James Ball¹, Jana Wicklein², Feng Zhengpeng¹, Clement Atzberger³, Anil Madhavapeddy¹, Jovana Knezevic¹, Srinivasan Keshav¹, Michele Dalponte², David Coomes¹

1: University of Cambridge, United Kingdom; 2: Fondazione Edmund Mach, Italy; 3: dClimate Labs, New York

Wall-to-Wall Forest Structure Mapping Using Generative AI and NAIP Imagery

Anthony Marcozzi¹, Lucas Wells², Kevin Barnett², Allison Thompson²

1: New Mexico Consortium; 2: Silvx Labs

Assessment of automatic hedgerows detection using Pleiades Neo 30cm images and Foundation model

Lea Moyon, Marie Ballere, Noe Roure, David Souveton, Vincent Varoquaux, Anne Jacquin, Laurent Gabet

Airbus Defence and Space, France

Providing a New Remote Sensing Method and Extensive Tree Database for Allometric Scaling Models of Carbon Stocks of Individual Trees Outside of Forests

David Skole¹, Tabitha Alimo¹, Jay Samek¹, Dan Ndalowa¹, Judith Kamoto², Vincent Oeba³, Alfred Chioza², Justine Spore⁴, Darby Levin⁴, Moussa Dieng⁵, Cheikh Mbow⁶

1: Michigan State University, Department of Forestry, United States of America; 2: Lilongwe University of Agriculture and Natural Resources, Malawi; 3: Kenya Forest Research Institute, Kenya; 4: World Resources Institute, United States of America; 5: Institute of Agricultural Research, Senegal; 6: Center for Ecological Monitoring, Senegal

Determining Detection Thresholds for Individual Trees to Enable Farmer-Specific Payments in Agroforestry Carbon Programs

Darcy Gray¹, John Brandt², Lydia Tasia¹, Justine Spore², Darby Levin², Katie Dowhaniuk¹, Cheenar Shah¹

1: One Acre Fund; 2: World Resources Institute

Learnings and applied results from combined remote and field monitoring of a restoration portfolio

John Brandt, Darby Levin, Justine Spore, Jessica Ertel, Justine Spore

World Resources Institute

Overview of EU large scale projects

Ruben Valbuena¹, Lauri Mehtätalo², Johannes Breidenbach³, Fulvio Di Fulvio⁴, Alessandro Cescatti⁵

1: Swedish University of Agricultural Sciences, Sweden; 2: LUKE, Finland; 3: NIBIO, Norway; 4: IIASA, Austria; 5: European Commission JRC, Ispra, Italy

Remote sensing and the Nature Restoration Regulation: assessing biodiversity indicators for integrated forest management

Jacob Emanuel Parry¹, Stefanie Linser², Inka Bohlin¹, Karin Ohman¹, Yunsheng Wang³, Hanna Sorokina³, Ruben Valbuena¹

1: Swedish University of Agricultural Sciences, Sweden; 2: BOKU, Austria; 3: Finnish Geospatial Institute, Finland

Federated Learning for forest monitoring: a privacy-preserving approach to cross-border data integration

Johannes Schumacher¹, Alessandro Cescatti², Gherardo Chirici³, Giovanni D'Amico³, Saverio Francini⁴, Johannes Hertzler⁵, Lauri Mehtätalo⁶, Gert-Jan Nabuurs⁷, Mats Nilsson⁸, Juho Pitkänen⁶, Johannes Breidenbach¹

1: Norwegian Institute of Bioeconomy Research (NIBIO), Norway; 2: European Commission, Joint Research Centre, Ispra, Italy; 3: University of Florence, Department of Agricultural, Food, Environmental and Forestry Sciences and Technologies (DAGRI), Italy; 4: University of Bologna, Department of Agricultural and Food Sciences (DISTAL), Italy; 5: Thünen Institute of Forest Ecosystems, Germany; 6: Natural Resources Institute Finland (LUKE), Finland; 7: Forest Ecology and Management Group, Wageningen University, The Netherlands; 8: Swedish University of Agricultural Sciences, Department of Forest Resource Management, Sweden

Harmonised Remote Sensing Products and Disturbance Reference Data to Support European Forest Monitoring and Multifunctionality Assessment

Giovanni D'Amico¹, Gherrdo Chirici¹, Elia Vangi¹, Costanza Borghi¹, Davide Botticelli², Walter Mattioli², Piermaria Corona², Johannes Schumacher³, Johannes Breidenbach³, Lauri Mehtätalo⁴, Ruben Valbuena⁵, Beatrice Petti⁶, Marco Ottaviano⁶, Marco Marchetti⁷, Saverio Francini⁸

1: University of Florence; 2: CREA - Council for Agricultural Research and Economics; 3: NIBIO - Norwegian Institute of Bioeconomy Research; 4: LUKE - Natural Resources Institute Finland; 5: SLU - Swedish University of Agricultural Sciences; 6: University of Molise; 7: La Sapienza University; 8: University of Bologna

Quantifying Fire-Induced Biomass Loss in the Amazon Forest Using GEDI

Maria Isabel Silva dos Santos, Ernesto Alvarado

University of Washington, United States of America

Object-Based Scanning of Wildland Fuels: Bridging the Resolution Gap in 3D Vegetation Modeling

Iris Mire¹, Jessie Thoreson¹, Susan Prichard¹, Nicholas Skowronski², Michael Gallagher³

1: University of Washington, College of the Environment, School of Environmental and Forest Sciences (SEFS), Seattle, WA, United States; 2: USDA Forest Service, Washington, D.C.; 3: USDA Forest Service, Northern Research Station, New Lisbon, NJ

Pointclouds_DeepLab: Wildland fuel aware Multi-sensors LiDAR point clouds segmentation and classification: A case study of United States Forest ecosystems

Nadeem Fareed¹, Carlos Alberto Silva², Naga Venkata Siva Reddy³, Susan Prichard⁴

1: University florida, United States of America; 2: University florida, United States of America; 3: University florida, United States of America; 4: School of Environmental and Forest Sciences University of Washington

Integrating Airborne Laser Scanning data, Topography, and Climate Metrics for Forest Fuel Mapping in the Western U.S.

Rodrigo García Gómez¹, Francisco Mauro Gutiérrez¹, Patrick Feketty³, Benjamin Bright², Manuel Gómez-Roux¹, Bernardo González-Mesquida¹, Andrew Hudak², Nuria Sánchez-López⁴

1: iuFOR, EiFAB, University of Valladolid, 42004 Soria, Spain; 2: US Forest Service, Rocky Mountain Research Station; 3: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado; 4: Institute of Natural Resources and Spatial Planning (INDUROT), University of Oviedo Foundation (FUO), Mieres, 33600 Asturias, Spain

Bayesian Multi-Source Fusion for Near Real-Time Deforestation Monitoring using Sentinel-1 and Sentinel-2 Time Series: Application in the Brazilian Amazon

Marta Bottani¹, Laurent Ferro-Famil^1,2

1: CESBIO, Toulouse, France; 2: ISAE Supaero, Toulouse, France

AI and GIS for urban biodiversity monitoring - Trees census, from location estimation to ecosystem services assessment

Thomas Martinoli^1,2, Piero Fraternali^1,2

1: Politecnico di Milano, Dipartimento Di Elettronica, Informazione e Bioingegneria (DEIB), Milano, Italy; 2: National Biodiversity Future Center (NBFC), Piazza Marina 61, 90133 Palermo, Italy

Assessing Forest Structure and Biophysical Controls on Degradation Across the Amazon Using Spaceborne LiDAR

Hasan Ahmed, Matthew Fagan

University of Maryland, Baltimore County, United States of America

Evaluating Traditional and Novel Height-Diameter Models for Urban Tree DBH Estimation

Lan Qing Zhao, Derek T. Robinson, Brandon Giura

University of Waterloo, Canada

Leveraging Geospatial Embeddings for Cloud-Free Reconstruction and Phenology Monitoring in Optical Remote Sensing

Shuai Li¹, Di Yang¹, Yaqian He²

1: University of Florida, United States of America; 2: Indiana University Bloomington, United States of America

Isolating Urban Tree Cooling: A 3D Workflow Using ALS LiDAR Data

Eliotte Lin, Sorin Popescu, Justinn Jones

Texas A&M University, United States of America

Multimodal Approach to Tree Species Classification: Integrating TLS Point Clouds with Contextual Remote Sensing and Forest Inventory Data

Maksymilian Kulicki¹, Krzysztof Stereńczak^2,3, Janusz Będkowski¹

1: Institute of Fundamental Technological Research, Polish Academy of Sciences; 2: Forest Research Institute; 3: IDEAS Research Institute

Integrating UAV LiDAR and Multispectral Data for Improved Classification and Flood Hazard Assessment in Mediterranean Forests

Monica Herrero-Huerta¹, Cosme Hernanz-Gilbert², Norman Matute-Romero², Francesco Pirotti³, Antonio Moreno-Rodenas⁴

1: Desertification Research Centre (CIDE-CSIC-UV-GVA),Spain; 2: Research Center of Desertification, SP; 3: University of Padua, IT; 4: Deltares, NL

Nexus of certain design-based estimators in remote sensing forest inventory

Zhengyang Hou

Beijing Forestry University, China, People's Republic of

Remote sensing-assisted, post-stratified estimation

Ronald McRoberts¹, Erik Næsset², Victor Strimbu²

1: University of Minnesota, United States of America; 2: Norwegian University of Life Sciences

A STATISTICALLY CONGRUENT INNOVATIVE STRATEGY FOR ENHANCED NATIONAL FOREST INVENTORIES

Piermaria Corona¹, Sara Franceschi², Walter Mattioli³, Giovanni D'Amico⁴, Giancarlo Papitto⁵, Gherardo Chirici⁴, Caterina Pisani², Marzia Marcheselli², Lorenzo Fattorini²

1: Italian Academy of Forest Sciences, Italy; 2: University of Siena, Italy; 3: CREA Research Centre for Forestry and Wood, Italy; 4: University of Firenze, Italy; 5: Arma dei Carabinieri, Italy

Impact of Tree Species on the Accuracy and Transferability of Lidar-Based Biomass Models

Lauri Korhonen, Raija Timonen, Matti Maltamo

University of Eastern Finland, Finland

Tracking fire across the Southeast from burn severity to recovery with harmonized Landsat-Sentinel data

Melanie Vanderhoof¹, Casey Menick¹, Joshua Picotte², Holly Nowell³

1: USGS, Geosciences and Environmental Change Science Center; 2: USGS, Earth Resources Observation and Science Center; 3: Tall Timbers Research Stations

Tracking forest recovery across Europe using spectral unmixing of Landsat time series

Alba Viana-Soto, Katja Kowalski, Lisa Mandl, Cornelius Senf

Technical University of Munich, School of Life Sciences, Earth Observation for Ecosystem Management. Freising, Germany

Evaluating UAV-Based Approaches for Detecting Forest Regeneration in Post-Disturbance Landscapes: Insights from the KI-Recover Project

Caileigh Shoot¹, Christine Wallis¹, Robert Jackisch¹, Marco Heurich^2,3, Jakob Ebenbeck², Max Mangold^2,3

1: Technische Universität Berlin; 2: Nationalpark Bayerischer Wald; 3: Universität Freiburg

Post-Fire Conifer Recovery From Spectral and Field Data - Why Monitoring Methods Matter

Sarah Smith-Tripp, Joanne White, Nicholas Coops

University of British Columbia, Canada

Tracing Land-Use Imprints on the Spatiotemporal Patterns of Wildfires

Wei Liu, Di Yang

University of Florida, United States of America

Wildfire Propagation Modelling for Europe and the Mediterranean with Deep Learning and an adjusted Dataset

Simon Mueller, Anja Hofmann-Boellinghaus, Kristin Vogel, Philipp Benner

Federal Institute for Materials Research and Testing (BAM), Germany

Quantifying fuel composition with terrestrial LiDAR in a longleaf pine savanna

D. Alex Bowers, Raelene M. Crandall, Arthur Lamounier Moura, Jinyi Xia, Ross A. Barreto, Daniel J. Johnson

University of Florida, United States of America

A network of point-dendrometers to forecast live fuel moisture content using remotely sensed imagery data.

Francisco Mauro¹, Fermin Alcasena², Nuria Martínez-Miguel¹, Dario Domingo-Ruiz¹, Gabriel Sangüesa-Barreda¹, Andrew Hudak³, Nuria Sánchez-López⁴, Manuel Gómez-Roux¹, José Bernardo González-Mesquida¹, Cristina Gómez¹, Rodrigo García-Gómez¹

1: University of Valladolid, Spain; 2: Institute for Sustainability and Food Chain Innovation, Department of Engineering, Public University of Navarre; 3: US Forest Service, Rocky Mountain Research Station.; 4: Foundation University of Oviedo, (FUO)

Estimation of canopy fAPAR using optical reflectance and airborne LiDAR data

Dalei Han¹, Jing Liu¹, Shan Xu², Tiangang Yin³, Peiqi Yang¹

1: Nanjing Normal University, Nanjing, China; 2: Nanjing Agricultural University, Nanjing, China; 3: The Hong Kong Polytechnic University, Hong Kong, China

Development of crown morphology models for Pinus halepensis in central Spain using terrestrial laser scanning and unmanned aerial laser scanning data.

Manuel Gomez-Roux¹, David Candel-Pérez⁵, Darío Domingo^1,2,3, José Bernardo González-Mesquida¹, Nuria Martínez-Miguel¹, Raúl Hoffrén^2,4, Juan de la Riva², Teresa Lamelas², Rodrigo García-Gómez¹, José Antonio Manzanera⁶, Francisco Mauro¹

1: EiFAB, iuFOR, Universidad de Valladolid, Soria, Spain; 2: GEOFOREST-IUCA, Department of Geography, University of Zaragoza, Zaragoza, Spain; 3: Department of Geography, University of Valladolid, Valladolid, Spain; 4: Pyrenean Institute of Ecology (CSIC), Zaragoza, Spain; 5: Sección de Desarrollo Territorial Sostenible, NASUVINSA, Pamplona, Spain; 6: Research Group SILVANET, Technical University of Madrid, Madrid, Spain

Use of high-resolution commercial X-band SAR and optical data to model forest height

Valerie Thomas¹, Randolph Wynne¹, Paige Williams², Rachel Cook³, Timothy Albaugh¹, Kyle Peer¹, Matthew Sumnall¹

1: Virginia Tech, United States of America; 2: Virginia Commonwealth University, United States of America; 3: North Carolina State University, United States of America

NAIP-based digital aerial photogrammetry for forest structure estimation and evaluating disturbance effects in Colorado, USA

Steven Filippelli¹, Karen Schleeweis², Andrew Hudak³, Patrick Fekety¹, Daniel Rode¹, Jody Vogeler¹

1: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO; 2: USDA Forest Service Rocky Mountain Research Station, Forest Inventory and Analysis, USA; 3: Rocky Mountain Research Station, USDA Forest Service, Moscow, ID

Study on the Examination of Data Acquisition Methods Based on Forest Conditions and the Evaluation of Ecological Functions in Japan

Yoriyuki Yamada, Toshihiro Okubo, Tsuyoshi Yamaguchi, Kosuke Nakagawa

Sustainable Society Laboratory, Kajima Corporation, Tokyo, JAPAN

Mapping Understory Vegetation Using LiDAR-Derived Canopy Models and Machine Learning

Akira Kato¹, Yoshito Sawada¹, Seitaro Yamada¹, Tatsuro Nakaji², Andrew. T. Hudak³, Benjamin C. Bright³

1: Chiba University, Japan; 2: Hokkaido University, Japan; 3: US Forest Service, USA

Automated reconstruction of power lines from ALS point cloud using adaptive nonlinear tracking algorithm

Miłosz Mielcarek¹, Grzegorz Krok¹, Krzysztof Stereńczak²

1: IDEAS Research Institute, Poland; 2: Forest Research Institute, Poland

Tracking Appalachian Surface Mine Reclamation Trajectories with Remotely Sensed Data

Daniel Putnam¹, Randolph Wynne¹, Valerie Thomas¹, Patricia Donovan²

1: Virginia Tech, Department of Forest Resources and Environmental Conservation, United States of America; 2: Virginia Tech, School of Plant and Environmental Sciences, United States of America

The Spanish Atlas of Forests and Disturbances (SAFoD): Four Decades of Forest Change Across Continental Spain

Mihai A Tanase¹, Sofia Miguel², Alba Viana-Soto³, Cristina Aponte¹, Paloma Ruiz-Benito²

1: Instituto de Ciencias Forestales, INIA-CSIC; 2: Geología, Geografía y Medio Ambiente, Universidad de Alcalá; 3: School of Life Sciences, Technical University of Munich

Integrating Weakly Supervised Learning and Multispectral Time Series for Robust Tree Species Mapping of Heterogeneous Forest

Jana Annika Wicklein^1,2, Davide Andreatta², Lorenzo Bruzzone¹, Michele Dalponte²

1: University of Trento, Italy; 2: Fondazione Edmund Mach, Italy

Vegetation Transition History Predicts Wildfire Risk Beyond Climate Forcing: A Spatiotemporal Analysis of California

Yichan Li, Di Yang, Wei Liu

University of Florida, United States of America

Large-scale Tropical Forest Disturbances Monitoring Using Harmonized Landsat and Sentinel-2 data

Na Chen¹, Sherrie Wang^1,2

1: Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; 2: Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Advancing Wildfire Smoke Forecasting and Exposure Assessment Across the CONUS Using Multi-Model Intercomparison and Ensemble Techniques

Yunyao Li¹, Daniel Tong², Peng Xian³, Kevin Cromar⁴, Laura Myers⁵, Barry Baker⁶, Ravan Ahmadov⁷, Anton Darmenov⁸, Edward Hyer³, Daniel Figueras Nieto⁹, Jack Chen⁹, Christine Pham¹

1: The University of Texas at Arlington, United States of America; 2: George Mason University; 3: Naval Research Lab; 4: New York University; 5: Kaiser Permanente Northern California; 6: NOAA ARL; 7: NOAA GSL; 8: NASA; 9: Environmental and Climate Change of Canada

Coupled Interactive Forecasting of Active Fire Impacts

Kyle Hilburn, James Haley

Cooperative Institute for Research in the Atmosphere at Colorado State University, United States of America

NASA’s Wildland Fire Program – Supporting Proactive Wildfire and Prescribed Burn Management and Research Efforts

Joanne Hall¹, Ryan Wade^3,4, Sarah Dutton⁷, Jennifer Fowler², Daniel Hodkinson⁷, Teresa Kauffman⁵, Christine Mataya⁵, Kimberley Miner⁶, Matthew Miller^3,4, Kelley Murphy^3,4, Paul Padgett⁵, Robert Sohlberg¹, Steve Stolze^3,4, Eleanor Stokes⁵

1: University of Maryland, Department of Geographical Science; 2: NASA Langley Research Center; 3: NASA Marshall Space Flight Center; 4: University of Alabama in Huntsville; 5: NASA Headquarters, Washington DC; 6: NASA Jet Propulsion Laboratory; 7: Science Systems and Applications

Harmonics of stress and structure from ECOSTRESS and GEDI to support pre-fire mapping and the management of fire trajectories

Madeleine Pascolini-Campbell¹, Adrian Pascal², Antonio Ferraz¹, Glynn Hulley¹, Inga Lapuma³, Birgit Peterson³, Kurtis Nelson³, Tinh LA¹

1: NASA JPL, United States of America; 2: University of Maryland; 3: USGS

Assessing Vertical Structural Complexity in Regulating Forest Microclimate Using Mobile Laser Scanning

Meika Tomita¹, Akira Kato¹, Tatsurou Nakaji², Fumio Nakajima³

1: Chiba University, Japan; 2: Hokkaido University, Japan; 3: Denbei Farm

Analysis of Motifs of Intact Forest Resilience and Global Climate Variables

Pius Nwachukwu, Laure Berti-Equille

IRD, ESPACE-DEV, Montpellier France

Detecting tree stress in 3D: Using structural metrics to predict tree physiology and drought tolerance in P. taeda

Monique Bohora Schlickmann¹, Marylou Mantova², William Hammond¹, Susan Prichard³, Denis Valle¹, Inacio Bueno¹, Andrew Hudak⁴, Jinyi Xia¹, Carine Klauberg¹, Carlos Alberto Silva¹

1: University of Florida; 2: INRAE; 3: University of Washington; 4: USDA Forest Service

The importance of UF spatial structure in combating UHI using VHR satellite and ALS data - Kraków case study

Piotr Wezyk¹, Wojciech Krawczyk¹, Karolina Zięba-Kulawik², Magdalena Szechyńska-Hebda³

1: University of Agriculture in Krakow, Poland; 2: Luxembourg Institute of Socio-Economic Research (LISER); 3: Władysław Szafer Institute of Botany in Krakow - Polish Academy of Sciences

Edge-AI Fusion Pipeline for Real-Time Forest Health Monitoring in Subtropical Pine Ecosystems of North-Central Florida

Zarrin Tasneem

NA

Attributing direct drivers to pantropical deforestation alerts

Bart Slagter¹, Laura Cue La Rosa¹, Anika Berger², Sarah Carter², Marielos Peña-Claros¹, Martin Herold³, Johannes Reiche¹

1: Wageningen University; 2: World Resources Institute; 3: GeoForschungsZentrum

Real-Time Event-Driven Vision for Aerial Surveillance on MPSoC Platforms in Forest Environments

Wade Fortney, Zhaoqi Wang, Peter Forcha

University of Florida, United States of America

Monthly Forest Canopy Cover Loss in Europe, 2017–2024

Frank Thonfeld, Patrick Kacic, Marco Wegler, Sarah Asam, Claudia Kuenzer

German Aerospace Center (DLR), Germany

Operational 3DGS and OB-NeRF Pipelines for Field Vegetation: Case Study on Strawberries

Hemanth Reddy Sankaramaddi¹, Won Suk Lee¹, Kyoungchul Kim², Youngki Hong²

1: University of Florida; 2: National Institute of Agricultural Sciences, Rural Development Administration, Korea

Mapping research pathways for restoring South Carolina’s historic tidal rice landscapes

Oluwatobi Olaniyi^1,2, Troy Farmer¹, David White³, Travis Folk⁴, James Anderson^1,2

1: Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA; 2: James C. Kennedy Waterfowl and Wetlands Conservation Center, Belle W. Baruch Institute of Coastal Ecology and Forest Science, Clemson University, Georgetown, SC, USA; 3: 3Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA; 4: Folk Land Management, Inc., 3515 White Hall Rd, Green Pond, SC

GIS-Driven Land Suitability Mapping for Tiger Grass (Thysanolaena maxima, Roxb.) under Biophysical and Zoning Considerations in the Baroro Watershed, La Union, Philippines

Kharmina Paola Anit-Evangelista¹, Canesio Predo¹, Asa Jose Sajise², Margaret Calderon¹, Cristino Tiburan Jr.¹, Juan Pulhin³

1: Institute of Renewable Natural Resources, College of Forestry and Natural Resources, University of the Philippines Los Baños, Philippines; 2: Department of Economics, College of Economics and Management, University of the Philippines Los Baños; 3: Department of Social Forestry and Forest Governance, College of Forestry and Natural Resources, University of the Philippines Los Baños

Evaluating Vertical Structure Differences Between Old-Growth Avocado Orchards and Temperate Forests with GEDI Metrics: Implications for Habitat Availability

Jonathan V. Solórzano

Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Mexico

TESSERA and Barlow Twins for forestry applications and carbon projects

Clement Atzberger¹, Markus Immitzer¹, Sadiq Jaffer², Zhengpeng Feng², Josue Lopez Ruiz¹, Srinivasan Keshav², Mateusz Zoltak¹, David Coomes², Anil Madhavapeddy², Madeline Lisaius², Andrew Blake², James Ball², Robin Young², Silja Sormunen², Jovana Knezevic²

1: dClimate Labs, New York, US; 2: Cambridge University, UK

Near real time forest disturbance monitoring by integrating satellite-borne SAR data

Feng Zhao

Northeast Forestry University, China, People's Republic of

Global BIOMASS Digital Terrain Model Under the Canopy: Estimation Principle and Applications to Forest Characterization

Laurent Ferro Famil^1,2, Marta Bottani², Francesco Salvaterra^3,4, Francesco Banda⁴, Stefano Tebaldini³

1: ISAE-SUPAERO, University of Toulouse, France; 2: CESBIO, , University of Toulouse, France; 3: Politecnico di Milano, Italy; 4: Aresys, Italy

Integrating NAIP Point Cloud, Sentinel-1, and Sentinel-2 Data for Improved Forest/Non-Forest Classification Using Explainable Machine Learning

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

A geospatial database for quantifying effects from 40 years of fire (1985-2025) on biomass and fuel dynamics across the western USA

Andrew Hudak¹, Clare Saiki², Benjamin Bright¹, Patrick Fekety³, Francisco Mauro⁴, Chad Babcock⁵, Nancy French⁶

1: US Forest Service, United States of America; 2: University of Santa Barbara, United States of America; 3: Colorado State University, United States of America; 4: Universidad de Valladolid, Spain; 5: University of Minnesota, United States of America; 6: Michigan Tech Research Institute, United States of America

Quantifying the preferences of final users of LiDAR derived tree list maps to maximize their use and adoption.

Francisco Mauro¹, Andrew Hudak², Arjan Meddens³, Michelle Steen-Adams³, Manuel Gomez-Roux¹, José Bernardo González-Mesquida¹, Severin Scott³, Cristina Gomez¹, Patrick Fekety⁴, Beatríz Águeda-Hernándex¹, Concepción González-García⁵

1: EiFAB, iuFOR, University of Valladolid, Spain; 2: US Forest Service, Rocky Mountain Research Station; 3: Washington State University; 4: Natural Resource Ecology Laboratory, Colorado State University; 5: Technical University of Madrid

Introducing the Treatment and Wildfire Interagency Geodatabase: a new tool for accessing fuel treatment and wildfire data

Anson Call, Camille Stevens-Rumann

Colorado Forest Restoration Institute, Colorado State University, United States of America

Integrating remote sensing and landscape modeling for monitoring biomass carbon pools and fluxes: results from three scales of stakeholder use-cases in the working forests of Maine, USA

Daniel Hayes¹, Andrew Finley², Yury Shafirin¹, Xinyuan Wei¹, Aaron Weiskittel¹, Bruce Cook³

1: University of Maine; 2: Michigan State University; 3: NASA Goddard Space Flight Center

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