Conference Agenda

Early success of natural regeneration after gap cuttings in Scots pine stands with varying site preparation methods in northern Finland evaluated using remote sensing and field-based models

Petra Peltola¹, Matti Maltamo¹, Lauri Korhonen¹, Tuukka Poutiainen¹, Viivi Pääkkönen¹, Aaron Petty¹, Fan Yang¹, Pasi Rautio², Ville Hallikainen², Heli Peltola¹

1: University of Eastern Finland, Joensuu, Finland; 2: Natural Resources Institute, Rovaniemi, Finland

From 2D to 3D: Transforming Marteloscope Training through Digital Forest

Martin Krůček, Václav Bubník, Kamil Král

Landscape Research Institute, Czech Republic (Czechia)

Is natural forest regeneration always a climate-cooling strategy?

Alibakhshi Sara, C. Cook-Patton Susan, Edouard Davin, Eduardo Eiji Maeda, Miguel Bastos Araújo, Daniel Heinlein, Janne Heiskanen, Petri Pellikka, Zhu Xiaoxiang, W. Crowther Thomas

Technical University of Munich, Finland

Look up, look down, look all around: lessons learned from recent experiments evaluating real-time data networks to support use of AI for digital transformation in operational forestry

Robert Keefe, Eloise G. Zimbelman, Axel Wall, Ryer Becker

University of Idaho, United States of America

Characterizing the Effective Footprint Diameter of ICESat-2 when Measuring Canopy

Eric Guenther^1,2, Amy Neuenschwander¹, Lori Magruder^1,3, Timothy Goudge²

1: Center for Space Research, University of Texas at Austin, United States of America; 2: Department of Earth and Planetary Sciences, Jackson School of Geoscience, Univesity of Texas at Austin, United States of America; 3: Department Aerospace Engineering and Engineering Mechanics Cockrell School of Engineering, Univesity of Texas at Austin, United States of America

Annual Canopy Height Mapping Across the Northeastern US from 2019 to 2024 Using GEDI, Sentinel-1, Sentinel-2, ALOS-2 PALSAR-2, and 3DEP: A Machine Learning Framework for Regional Forest Monitoring

Ghaith Kouki, Bahram Salehi

SUNY ESF

Four decades of change in tree species composition across the Spanish Iberian Range forests: insights from NFI and Landsat data

Cristina Gómez¹, Aman Oli¹, Saioa Munuera¹, Francisco Rodríguez-Puerta¹, Laura Hernández-Mateo²

1: Universidad de Valladolid, Spain; 2: ICIFOR-INIA, CSIC, Spain

Atmospheric correction stands on the way in effective use of Landsat and Sentinel-2 image time series for forest inventories

Mait Lang^1,2, Allan Sims², Lea Hallik¹, Oleksandr Borysenko¹, Andres Kuusk¹, Matti Mõttus³

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; 3: VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Finland

Effects of sample plot size on model-assisted estimates of above-ground forest biomass across Europe

Ryan Carroll, Lutz Fehrmann, Christoph Kleinn

Georg-August University Goettingen, Germany

Characterizing Italian species phenology through Sentinel-2-derived vegetation phenology and productivity products

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

1: University of Florence; 2: University of Bologna

Bridging GEDI Sampling Gaps: Multimodal Deep Learning for Wall-to-Wall Forest Structural Complexity Mapping

Tiago de Conto, John Armston, Ralph Dubayah

University of Maryland, United States of America

Engineering independent intensity and texture features for sample design, classification, regression, and clustering analyses using principal component analysis and convolution kernels

John Hogland¹, Jesse Johnson², Fredrick Bunt²

1: USDA RMRS, United States of America; 2: University of Montana, United States

Harmonized Landsat and Sentinel-2 (HLS) Project Updates

Madhu Sridhar^1,3, Christopher Neigh², Pontus Olofsson³, Junchang Ju^4,5, Qiang Zhou^4,6

1: NASA Marshall Space Flight Center; 2: NASA Goddard Space Flight Center; 3: University of Alabama in Huntsville; 4: NASA Goddard Space Flight Center; 5: University of Maryland, College Park; 6: Science Systems and Applications, Inc.

Global uncertainty assessment of vegetation indices from NASA's Harmonized Landsat and Sentinel-2 Project

Qiang Zhou^1,2, Christopher Neigh², Junchang Ju^2,3, Margaret Wooten^1,2, Zhe Zhu⁴, Tomoaki Miura⁵, Petya Campbell^2,6, Madhu Sridhar^7,8, Bradley Baker^7,8, Rodrigo Leite^2,9

1: Science Systems and Applications, Inc (SSAI), contractor to NASA GSFC, Maryland, 20771, USA; 2: NASA Goddard Space Flight Center, Maryland, 20771, USA; 3: Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, 20740, USA; 4: Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, 06269, USA; 5: Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, USA; 6: Joint Center for Earth Systems Technology (JCET), University of Maryland, Baltimore County, Baltimore, MD 21228, USA; 7: NASA Marshall Space Flight Center, Alabama, USA; 8: University of Alabama in Huntsville, Huntsville, Alabama, 35899, USA; 9: NASA Postdoctoral Program Fellow, Goddard Space Flight Center Greenbelt, MD 20771

A Time-series-based Image Fusion Algorithm for Harmonizing Landsat and Sentinel-2 Data at 10 m

Kexin Song¹, Zhe Zhu¹, Shi Qiu¹, Pontus Olofsson², Christopher Neigh³, Junchang Ju^3,4, Qiang Zhou^3,5

1: University of Connecticut, USA; 2: NASA Marshall Space Flight Center, Huntsville, AL, USA; 3: Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA; 4: Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA; 5: Science Systems and Applications, Inc (SSAI), Lanham, MD, USA

Congo Basin forest monitoring applications with Harmonized Landsat Sentinel 2 data

Matthew Hansen, Zhen Liu, Patrick Amani, Xinyuan Li, Amy Pickens, Tatiana Nana

University of Maryland, United States of America

IMPROVING FOREST DISTURBANCE DETECTION TECHNIQUES USING LANDSAT SATELLITE IMAGERY

Yury Shafirin

University of Maine, United States of America

Global Earth observation-based maps of annual greenhouse gas fluxes from land

David GIbbs, Melissa Rose, Erin Glen, Angela Scafidi, Nancy Harris

World Resources Institute, United States of America

Imagery Into Action: Indigenous Remote Sensing for Territorial Security and Climate Resilience

Cameron Ellis

Rainforest Foundation US, United States of America

The impact of available satellite imagery on national monitoring and reporting capacity

Erik Lindquist, Marieke Sandker, Naila Yasmin, Andreas Vollrath

FAO, Italy

Leveraging Planet imagery and LiDAR data for enhanced estimation of wild edible mushroom yield in Mediterranean forests

Tamiru Lemi Kebede^1,2,3, Beatriz Águeda¹, Anna Barbati³, Cristina Gómez^1,4

1: University of Valladolid, Spain; 2: Salale University, Ethiopia; 3: University of Tuscia, Italy; 4: University of Aberdeen, Aberdeen, UK

Modeling TROPOSIF using PACE EVI and PRI: Seasonal differences in the multivariate relationship

Caleb Harmon¹, Fred Huemmrich², Randolph Wynne¹, Valerie Thomas¹, Rui Cheng³

1: Virginia Tech, United States of America; 2: University of Maryland-Baltimore County, United States of America; 3: Claremont McKenna College, United States of America

Monitoring the Community Level Individual Tree Phenology from Space

Stephanie Bohlman¹, Gary Doran², Helene Muller-Landau³, Sara Beery⁴, Vicente Vasquez¹, Evan Gora⁵, Patrick Cannon³, S. Joseph Wright³, John Burley⁶, Antonio Ferraz²

1: University of Florida, United States of America; 2: Jet Propulsion Lab, NASA; 3: Smithsonian Tropical Research Institute; 4: Massachusetts Institute of Technology; 5: Cary Institute; 6: Australian National University

OpenForest4D-Global Canopy Mapper: A Google Earth Engine web-based application for global forest structure mapping

Cesar Alvites Diaz¹, Carlos Alberto Silva¹, Inacio Bueno¹, Chelsea Scott², Sreeja Krishnamari², Viswanath Nandigam³

1: Forest Biometrics, Remote Sensing and Artificial Intelligence Lab (SilvaLab). School of Forest, Fisheries and Geomatics Science, University of Florida, PO Box 110410 Gainesville, FL, USA 32611; 2: Arizona State University; 3: San Diego Supercomputer Center, University of California San Diego

GEDI AGBD Calibration and Model-Based Inference in Tropical Forests via Embedding-Aided Spatiotemporal NNGP and Bayesian Regression

Yuchuan Zhou¹, M. Elizabeth Rodríguez-Ronderos², Kwek Yan Chong³, Ankit Sagar², David Taylor¹, Hao Tang^1,2

1: Department of Geography, National University Of Singapore, Singapore; 2: Centre for Natural Climate Solutions, National University of Singapore, Singapore; 3: National Parks Board, Singapore

Improving Precision of Stand-Level Estimates in Southern Pine Plantations Using Small Area Estimation

Sheng-I Yang¹, Qianqian Cao², Phil Radtke², Bronson Bullock¹, Chad Lincoln³, Nate Herring⁴, Scott Hillard⁴

1: Warnell School of Forestry and Natural Resources, University of Georgia; 2: Department of Forest Resources and Environmental Conservation, Virginia Tech; 3: Forest Investment Associates; 4: American Forest Management

Stand effects, not spatial autocorrelation are often the main driver behind underestimating stand-level uncertainty.

Victor Felix Strimbu, Zsofia Koma, Johannes Breidenbach

Norwegian Institute of Bioeconomy Research, Norway

Small-Area Estimation improves FIA estimates in areas of high nonresponse

Bergit Uhran Bailey¹, Zach Dorminey¹, Nicholas Nagle^1,2, Todd Shroeder³

1: University of Tennessee Knoxville, Department of Geography & Sustainability; 2: National Science Foundation Human Networks and Data Science Program; 3: USDA Forest Service Southern Research Station, Forest Inventory and Analysis Program

Assessing Risk Uncertainty in Deforestation-Free Supply Chains through Multi-Tiered Remote Sensing Analysis

Juliana Freitas Beyer, Dr. Fatemé Ghafarian, Dr. Melvin Lippe, Dr. Margret Köthke

Thünen Institute of Forestry, Germany

Towards Resilient Carbon Farming: Accounting for Reversal Risks in European Forest Carbon Markets

Daniele Marinelli¹, Mark Pickering², Guido Ceccherini², Jukka Miettinen³, Alessandro Cescatti¹, Mirco Migliavacca¹

1: European Commission, Joint Research Center (JRC), Ispra, Italy; 2: Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy; 3: VTT Technical Research Centre of Finland, Finland

Accounting for Water Assets in the Pagsanjan-Lumban Watershed Using the SEEA-Water Framework

Vanessa Palma-Torres¹, Alfie Torres², Cristino Tiburan Jr¹, Canesio Predo¹, Asa Jose Sajise³, Juan Pulhin⁴, Margaret Calderon¹

1: Institute of Renewable Natural Resources, College of Forestry and Natural Resources, University of the Philippines Los Baños; 2: Department of Forest Products and Paper Science, College of Forestry and Natural Resources, University of the Philippines Los Baños; 3: Department of Economics, College of Economics and Management, University of the Philippines Los Baños; 4: Department of Social Forestry and Forest Governance, College of Forestry and Natural Resources, University of the Philippines Los Baños

High-resolution global forest typology and natural forest identification in support of sustainability initiatives

Maxim Neumann¹, Anton Raichuk¹, Matthew Overlan¹, Melanie Rey¹, Michelangelo Conserva¹, Ravi Rajakumar¹, Linus Scheibenreif¹, Yuchang Jiang², Michelle Sims³, Radost Stanimirova³, Sarah Carter³, Elizabeth Goldman³, Peter Potapov³, Myroslava Lesiv⁴, Steffen Fritz⁴, Nick Clinton¹, Charlotte Stanton¹, Dan Morris¹, Drew Purves¹

1: Google, Switzerland; 2: University of Zurich, Switzerland; 3: WRI, USA; 4: IIASA, Austria

Validation of the NASA Harmonized Landsat-Sentinel-2 (HLS) surface reflectance data product against MODIS NBAR

Min Feng¹, Joseph Sexton¹, Qiang Zhu^1,2, Junchang Ju^3,4, Panshi Wang¹, Amit Angal^2,3, Margaret Wooten^2,3, Madhu Sridhar⁵, Saurabh Channan¹, Christopher Neigh³

1: terraPulse, Inc., United States of America; 2: Science Systems and Applications, Inc.; 3: NASA Goddard Space Flight Center; 4: University of Maryland Department of Geographical Sciences; 5: University of Alabama in Huntsville

Eucalyptus Woodlot Expansion on Croplands in Mecha Woreda, Northwestern Ethiopian Highlands: Insights from Very-High-Resolution and HLS Time-Series Analysis

Woubet Alemu^1,2, Christopher Neigh¹, Margaret Wooten^1,3

1: NASA Goddard Space Flight Center, Greenbelt MD, USA; 2: Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA; 3: Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA

Leveraging NASA’s Harmonized Landsat and Sentinel-2 (HLS) Data and Google Earth Engine (GEE) for Forest Dynamics Monitoring using Continuous Change Detection and Classification (CCDC)

Thuy Trang Vo¹, Madhu Sridhar¹, Junchang Ju², Qiang Zhou³, Pontus Olofsson⁴, Christopher S.R. Neigh⁵

1: NASA Marshall Space Flight Center Office of Data Science and Informatics; 2: University of Maryland; 3: Science Systems and Applications, Inc; 4: NASA Marshall Space Flight Center; 5: NASA Goddard Space Flight Center

Fire-driven vegetation loss across North American forest zones: attribution of near real-time DIST-ALERT data

Anna Komarova, Amy Pickens, Matthew Hansen, Zhen Song, Alexandra Tyukavina

University of Maryland, United States of America

Forest disturbance analysis of BIOMASS time-series in the Brazilian Amazon: comparison with Sentinel-1 and Sentinel-2 missions

Marta Bottani¹, Laurent Ferro-Famil^1,2, Stéphane Mermoz³, Juan Doblas³, Thuy Le Toan³, Thierry Koleck^1,4

1: CESBIO, Toulouse, France, France; 2: ISAE Supaero, Toulouse, France; 3: GlobEO, Toulouse, France; 4: CNES, Toulouse, France

First demonstration of spaceborne L-band bistatic InSAR from China's Lutan-1 for forest height and AGBD mapping

Yang Lei, Weiliang Li, Ya Gao

Chinese Academy of Sciences, China, People's Republic of

ESA's BIOMASS mission: a new frontier in forest biomass mapping with P-band SAR

Maciej J. Soja¹, Francesco Banda², Klaus Scipal³

1: Wageningen Environmental Research, the Netherlands; 2: Aresys, Italy; 3: ESA, Italy

A Study on High-Resolution Forest Aboveground Biomass Estimation at the National Scale

Takeo Tadono¹, Tomoya Kodama², Akito Kawamura², Osamu Ochiai¹

1: Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), Japan; 2: Archeda, Inc., Japan

Modeling biomass in loblolly pine plantations using variables from UAV multispectral imagery and SfM point clouds

Jiyeon Kim¹, Sorin Popescu², Yuhui Weng¹, Jason Grogan¹

1: Stephen F. Austin State University; 2: Texas A&M University

Linking Tree Architecture with Genetics and Management: A Multi-scale Assessment Using Terrestrial and Mobile Laser Scanning in Loblolly Pine (Pinus taeda L.) Trials

Jinyi Xia¹, Timothy Martin¹, Alan Sulato de Andrade², Jason Vogel¹, Ana Paula Dalla Corte², Gary Peter¹, Inacio Bueno¹, Jeff Atkins³, Matthew Gitzendanner⁴, Giulio Santoro⁵, Kody Brock¹, Alexander Gaskins¹, Monique Bohora Schlickmann¹, Carine Klauberg¹, Carlos Silva¹

1: School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL, 32611, USA; 2: Department of Forest Engineering, Federal University of Paraná (UFPR), Curitiba, PR, Brazil; 3: Department of Biology, Virginia Commonwealth University, Richmond, VA, 23284, USA; 4: Department of Biology, University of Florida, Gainesville, FL, 32611, USA; 5: College of Agriculture, University of São Paulo, São Paulo, 13418, Brazil

Operational Use of Mobile Laser Scanning for Estimating Tree Volume in Temperate Hardwood Forests

Bastien Vandendaele¹, Jean-Romain Roussel², Filip Havreljuk³, Murray Woods⁴, Margaret Penner⁵, Richard A. Fournier⁶, Steve Bédard³, Jean-François Coté¹

1: Ressources Naturelles Canada, Service Canadien des Forêts, Centre de Foresterie des Laurentides, Québec, Canada; 2: r-lidar, Québec, Canada; 3: Ministère des Ressources naturelles et des Forêts, Direction de la recherche forestière, Québec, Canada; 4: Retired, Ontario Ministry of Natural Resources and Forestry, Ontario, Canada; 5: Forest Analysis Ltd, Ontario, Canada; 6: Université de Sherbrooke, Département de géomatique appliquée, Québec, Canada

Scalable Correction and Characterization of Forestry Roads in Ontario Using Single Photon LiDAR and Deep Learning

Hamid Ghanbari, Emmanuelle Baby-Bouchard, Catherine Chagnon, Joao Paulo Czarnecki de Liz, Alexandre Morin-Bernard, Alexis Achim

Department of Wood and Forest Sciences, Université Laval, Québec, Canada

AiDroneTree: A Software for Individual Tree Detection, Inventory, and Biomass Estimation Using UAV Point Cloud

Sina Jarahizadeh, Bahram Salehi

State University of New York College of Environmental Science and Forestry, Department of Environmental Resources Engineering

ForestVision: A Universal Framework for Forestry Vision Tasks Based on Strong Foundation Models

Jeroen Van Houtte, Maciej Wielgosz, Stefano Puliti, Rasmus Astrup

Norwegian Institute Of Bioeconomy Research (NIBIO), Ås, Norway

PlotToSat: A Scalable and Efficient Tool for Generating Sentinel-1 and Sentinel-2 Time-Series Signatures from Distributed Field Plots and Multiple Polygons

Milto Miltiadou¹, Stuart Grieve³, Palome Ruiz-Benito⁴, Edward Pope⁵, Hywel Williams¹, James Camberlain¹, Oliver Appleby¹, Emily R. Lines²

1: Department of Computer Science, University of Exeter, Innovation Centre, Exeter, EX4 4RN, United Kingdom; 2: Department of Geography, University of Cambridge, Downing Site, Cambridge CB2 3EN, United Kingdom; 3: School of Geography, Queen Mary University of London, Mile End Rd, Bethnal Green, London, E1 4NS, United Kingdom; 4: Universidad Complutense de Madrid, Department of Biodiversity, Ecology and Evolution, Madrid, Spain; 5: Met Office, Exeter, UK

treeX: Unsupervised Tree Instance Segmentation in Dense Forest Point Clouds

Josafat-Mattias Burmeister¹, Andreas Tockner², Stefan Reder³, Markus Engel⁴, Rico Richter¹, Jan-Peter Mund³, Jürgen Döllner^1,5

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

From Spatial Analysis to Decisions: Modelling and Mapping Mangrove Forest Restoration Potential in Coastal Africa

Diress Tsegaye¹, Jonathan Rizzi², Ulrike Bayr¹, Misganu Debella-Gilo³, Richard Adade⁴, Denis Aheto⁴, Belachew Gizachew⁵

1: Department of Landscape Monitoring, Norwegian Institute of Bioeconomy Research (NIBIO); 2: Department of Geomatics, Norwegian Institute of Bioeconomy Research (NIBIO); 3: Deptartment of Geomatics, Norwegian University of Life Science (NMBU); 4: University of Cape Coast; 5: Department of Forest and Climate, Norwegian Institute of Bioeconomy Research (NIBIO)

From Land Cover to Land Use: A Remote Sensing–Based Map of Forest Area in Europe

Daniele Marinelli¹, Guido Ceccherini², Alessandro Cescatti¹

1: European Commission, Joint Research Center (JRC), Ispra, Italy; 2: Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy

U.S. mature and old-growth forest mapping, ownership, and land use

Jamis Bruening, Luke Wertis, Ralph Dubayah

University of Maryland, United States of America

Mapping and Characterizing High Conservation Value Forests in the Polish Carpathians Using Multi-Source Remote Sensing

Ewa M. Grabska¹, William S. Keeton²

1: Institute of Geography and Spatial Management, Jagiellonian University, Poland; 2: Rubenstein School of Environment and Natural Resources, University of Vermont, USA

Evaluation of Height Changes in Uneven-Aged Spruce–Fir–Beech Forest with Freely Available Nationwide Lidar and Aerial Photogrammetry Data

Anže Martin Pintar¹, Mitja Skudnik^1,2

1: Slovenian Forestry Institut, Slovenia; 2: Biotechnical Faculty, University of Ljubljana

LiDAR Reveals Structurally Similar Canopies at Forest Edges Adjacent to Urban and Agricultural Land Uses

Bowen Li¹, Zachary Horve¹, Benjamin McCallister¹, Brady Hardiman^1,2, Suresh Rao^3,4, Robert Fahey^5,6

1: Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA; 2: Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, USA; 3: Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA; 4: Department of Agronomy, Purdue University, West Lafayette, IN, USA; 5: Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA; 6: Center for Environmental Science and Engineering, Storrs, CT, USA

Towards a unified estimation of forest structural metrics from active remote sensing platforms

Jeff Atkins¹, Brandon Alveshere¹, Robert Fahey², Christopher Gough¹, Carlos Silva³, Atticus Stovall^4,5

1: Virginia Commonwealth University, United States of America; 2: University of Connecticut; 3: University of Florida; 4: University of Maryland; 5: NASA Goddard Space Flight Center

The Global Terrestrial Laser Scanning Database: Understanding Regional Drivers of 3D Tree Architectural Traits

Atticus Stovall^1,2, Shukhrat Shokirov¹, John Armston¹, Xin Xu¹, Lisa Patrick Bentley³, Kim Calders⁴, Disney Mathias⁵, Lola Fatoyinbo²

1: Department of Geographical Sciences, University of Maryland, United States; 2: Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, United States; 3: Department of Biology, Sonoma State University, Rohnert Park, United States; 4: CAVELab - Computational and Applied Vegetation Ecology, Ghent University, Gent, Belgium; 5: Department of Geography, University College London, London, United Kingdom

A cloud-based toolkit for accessing hyperspectral data from NASA's PACE mission

Emil Cherrington^1,2, Kelsey Herndon^1,2, Morgaine McKibben^2,3, Africa Flores-Anderson², Eric Anderson²

1: University of Alabama in Huntsville, United States of America; 2: National Aeronautics and Space Administration, United States of America; 3: Science Systems and Applications, Inc., United States of America

PACE Terrestrial Products – a New View of Forest Distributions, Phenology, and Function

Karl Huemmrich^1,3, Skye Caplan^2,3, Morgaine McKibben^2,3

1: University of Maryland Baltimore County; 2: Science Systems and Applications Inc.; 3: NASA Goddard Space Flight Center

Land in living color: Terrestrial applications from PACE, NASA’s new global, hyperspectral satellite mission

Morgaine McKibben^1,2, Skye Caplan^1,2

1: NASA Goddard Space Flight Center, Maryland, USA; 2: Science Systems Applications Inc., Maryland, USA

Terrestrial Remote Sensing with the Ocean Color Instrument

Skye Caplan^1,2, Karl F. Huemmrich^2,3, Morgaine McKibben^1,2

1: Science Systems and Applications Inc, Greenbelt, Maryland, USA; 2: NASA Goddard Space Flight Center, Greenbelt, Maryland, USA; 3: Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore, MD, USA

Potential of GEDI waveform data for plantation forests and natural forests detection

Jing Liu^1,2,3, Shuqi Wu^1,2,3, Long Li^1,2,3, Peiqi Yang^1,2,3

1: State Key Laboratory of Climate System Prediction and Risk Management, Nanjing, China; 2: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, China; 3: Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China

Predicting Pinus taeda L. stand volume using Random Forest and hyperspectral data in southern Brazil

Fábio Rodrigues Spiazzi, Veraldo Liesenberg, Marcos Benedito Schimalski, Leonardo Josoé Biffi

Santa Catarina State University (UDESC), Brazil

Using Satellite-Derived Phenology Metrics to Optimize Silvicultural TreatmentTiming

Deborah Ugaldes, Ivan Raigosa-Garcia, Simon Sandoval, Bronson Bullock, Stephen Kinane

University of Georgia, United States of America

Monitoring change in softwood plantations using high resolution satellite imagery

David Bruce, Michael Hillman, Grant Pearse

Flinders University

From Crowns to Stands: LiDAR Mapping of Tree Social Status and Stand Structure by a Standardized, Reproducible Approach

Kamil Král, Filip Kratoš, Václav Bubník, Martin Krůček

Landscape Research Institute, Czech Republic (Czechia)

Transparent parametric models as a pathway to reproducible forest volume estimation using NFI and ALS data

Paweł Hawryło¹, Piotr Janiec¹, Michal Woda², Jarosław Socha¹

1: University of Agriculture in Krakow, Poland; 2: Forest Management and Geodesy Bureau, Sekocin Stary, Poland

Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods

Alexander J. Gaskins, Jinyi Xia, Inacio T. Bueno, Carlos A. Silva

Forest Biometrics, Remote Sensing, and Artificial Intelligence Laboratory (Silva Lab), School of Forest, Fisheries and Geomatics Sciences, University of Florida, P.O. Box 110410, Gainesville, FL 32611, USA

ICESat2VegR: An R Package for NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Analysis for Land and Vegetation Applications.

Carlos Silva

University of Florida, United States of America

Augmented Reality in Forestry: A Strategic Tool for Operational Efficiency, Safety, and Asset Optimization

Bert-Ola Eriksson

Katam Technologies, Sweden

Bridging Research and Application: A Framework for Remote Sensing in Forestry

Lars Waser¹, Nataliia Rehush¹, Krzysztof Stereńczak², Mirela Beloiu Schwenke³

1: Swiss Federal Research Institute WSL, Switzerland; 2: Forest Research Institute, IBL, Poland; 3: Federal Institute of Technology, ETH

Geospatial Valuation of the Intangible: Mapping Cultural Ecosystem Service Hotspots Based on Tourists Perceptions in the Mount Makiling Forest Reserve ASEAN Heritage Park

Mae Belen Putian, Canesio Predo, Racelis Diomedes, Rogelio Andrada II, Margaret Calderon

University of the Philippines Los Banos, Philippines

Participatory Remote Sensing in support of global forest monitoring

Peder Nelson

Oregon State University, United States of America

Area Estimation Using Class Probabilities: Advancing Model-Based Approaches for Forest Monitoring

Sytze de Bruin, Nandika Tsendbazar

Wageningen University, Laboratory of Geo-information Science and Remote Sensing, Netherlands, The

Map quality assessment to support the appropriate use of large-scale land cover maps

Nandika Tsendbazar¹, Panpan Xu², Olga Nepomshina³, Martin Herold³, Sytze de Bruin¹, Sarah Carter⁴, Clement Bourgoin⁵, Rene Colditz⁵

1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: College of Marine Geosciences, Ocean University of China, Qingdao, China; 3: Section 1.4 Remote Sensing and Geoinformatics, Deutsches GeoForschungsZentrum, Potsdam, Germany; 4: Worlds Resources Insititute, the Hague, Netherlands; 5: Joint Research Centre (JRC), European Commission, Ispra, Italy

Area estimation and applications for international financial mechanisms and forest conservation

Andreas Vollrath, Erik Lindquist, Marieke Sandker

UN-FAO, Italy

Assessing sampling efficiency: Implications for area estimation and map accuracy assessment

Sergii Skakun

University of Maryland, College Park, MD

Modeling Future Ecosystem Dynamics under Changing Fire Regimes in California

Liling Chang¹, Shaoqing Liu², Alexander Antonarakis³, Marcos Longo⁴, Hao Tang⁵, John Armston⁶, Ralph Dubayah⁶, Paul Moorcroft²

1: Florida State University, United States of America; 2: Harvard University, United States of America; 3: University of Sussex, UK; 4: Instituto Nacional de Pesquisas Espaciais, Brazil; 5: National University of Singapore, Singapore; 6: University of Maryland, USA

Post-Fire Forest Structure and Carnivore Habitat: Improving GEDI-Fusion Products for Canada Lynx Conservation

Jody Vogeler¹, Patrick Fekety¹, Austin Smith², Joe Holbrook², John Squires³, Orion Cardenas-Ritzert¹, Kerri Vierling⁴

1: Colorado State University; 2: University of Wyoming; 3: USDA Forest Service; 4: University of Idaho

The fire triangle revisited: using continuous GEDI fuel structure to partition variance among drivers

Christopher Hakkenberg¹, Matthew Clark³, Patrick Burns², Scott Goetz²

1: University of California, Los Angeles, United States of America; 2: School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA; 3: Center for Interdisciplinary Geospatial Analysis, Department of Geography, Environment and Planning, Sonoma State University, Rohnert Park, CA, USA

Lidar-based multi-layer fuel loads assessments: from drones to satellites

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