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Session Proposal: Advance in remote sensing and modeling of tree and forest dynamics (AGU25)

GC002
Advance in remote sensing and modeling of tree and forest dynamics

Session ID#: 251005

Session Description:
Trees and forests provide essential ecosystem goods and services. Deforestation, reforestation, afforestation, woody plant encroachment (WPE) into grasslands, and tree-based urban greening have occurred across the scales from local to region and globe, which have substantial impacts on terrestrial carbon and water cycles, weather, climate, and other ecosystem services. This session aims to highlight recent advancements in remote sensing and modeling of tree and forest cover dynamics. It seeks presentations that (1) use multiple-source remote sensing datasets and novel techniques to quantify tree and forest area dynamics at local, regional and global scales; (2) investigate diverse factors driving the tree and forest area dynamics; (3) assess the impacts of the tree and forest area dynamics on weather, climate, and water cycle; and (4) predict carbon fluxes and stocks of trees and forests and their contribution to the dynamics of atmospheric greenhouse gases concentration.
Co-Sponsor(s):
  • B - Biogeosciences
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1632 Land cover change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
Primary Convener:  Baihong Pan, University of Oklahoma Norman Campus, School of Biological Sciences, Center for Earth Observation and Modeling, Norman, United States
Conveners:  Yuan Yao, University of Oklahoma Norman Campus, School of Biological Sciences, Center for Earth Observation and Modeling, Norman, United States, Yuanwei Qin, Hohai University, College of Geography and Remote Sensing, Jiangsu Key Laboratory of Soil and Water Processes in Watershed, Nanjing, China and Xiangming Xiao, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States
Student/Early Career Convener:  Yuan Yao, University of Oklahoma Norman Campus, School of Biological Sciences, Center for Earth Observation and Modeling, Norman, United States
 
Enhancing Conifer Forest Structure Modeling through Leaf-Wood Segmentation and TLS-Derived QSMs (1852698)
Jinyi Xia1, Carlos Alberto Silva2, Timothy Martin3, Gary F Peter3, Kody Brock4, Jeff Atkins5, Matthew Gitzendanner6, Inacio Bueno2, Cesar Ivan Alvites Diaz2, Alexander Gaskins2 and Carine Klauberg2, (1)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Ft Walton Beach, FL, United States, (2)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (3)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainesville, United States, (4)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainsville, United States, (5)Virginia Commonwealth University, Biology, Richmond, United States, (6)University of Florida, Department of Biology, Gainesville, United States
 
Financial opportunities and constraints to restoring global mangrove forests (Invited) (1853306)
Dan Friess1, Garrett Goto2, Jonah Busch2, Candela Sofia Goni2, Rod Braun2, Miguel Cifuentes-Jara2, Jennifer Howard2, Dane Klinger2, Solena Teav2 and Thomas Worthington3, (1)Tulane University, Department of Earth and Environmental Sciences, New Orleans, United States, (2)Conservation International, Arlington, United States, (3)University of Cambridge, Cambridge, United Kingdom
 
Continuous disturbance induced forest loss accelerates forest edge expansion in the U.S. (1870045)
Hangkai You1,2, Min Chen3, Zhe Zhu4, Shi Qiu4 and Taejin Park5, (1)Bay Area Environmental Research Institute, Moffett Field, United States, (2)University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, United States, (3)University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States, (4)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States, (5)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States
 
Mapping Deforestation and Carbon Emission in Cocoa Landscapes of Côte d’Ivoire: Spatial Insights for Sustainable Interventions (1873430)
Daniel Aja, Janelle Silvester, Diana Gutiérrez-Zapata and Augusto Castro-Nunez, Alliance of Bioversity International and CIAT, Palmira, Colombia
 
Evaluating the effectiveness of reforestation in mitigating climate change and flood risk through remote sensing and machine learning in vulnerable upstream landscapes of Pakistan (1888769)
Mannan Aleem1, Dr. Shahbaz Khan, PhD 2, Muhammad Mazhar Iqbal Dr.3, Naeem Saddique4, Muhammad Maaz Tanveer5, Muhammad Ahmad Akram Mr.6 and Huzaifa Bin Abid Mr.1, (1)University of Agriculture Faisalabad, Structures and Environmental Engineering, Faisalabad, Pakistan, (2)University of Agriculture Faisalabad, Department of Structures and Environmental Engineering, Faisalabad, Pakistan, (3)On Farm Water Management Wing of Agriculture Department, Davis Road, Lahore, Govt of the Punjab, LAhore, Pakistan, (4)University of Agriculture Faisalabad, Dept. of Irrigation and Drainage, Faisalabad, Pakistan, (5)University Of Agriculture Faisalabad, Structures and Environmental Engineering, Faisalabad, Pakistan, (6)University Of Agriculture Faisalabbad, Structures and Environmental Engineering, Faisalabad, Pakistan
 
Uncovering Spatially Heterogeneous Time-Lagged Effects in Forest NDVI Dynamics via Implicit Geographical Modeling (1891484)
Siqi Du and Shuangcheng Li, Peking University, Beijing, China
 
Modeling the CO₂ Fertilization Effect and Recent Global NPP Enhancement (Invited) (1895722)
Yude Pan, USDA Forest Service, Durham, NH, United States
 
Improvements in Field Spectroradiometers for Precision Agriculture and Environmental Research (1898559)
McKenzie Woodman, Spectral Evolution, Inc., Haverhill, United States and Nicolas Venjean, Spectral Evolution, Haverhill, MA, United States
 
Bridging Region and Resolution Gaps for Individual Tree Crown Segmentation via Unified Knowledge Transfer (1914921)
Jiaqi Yang, University of Wisconsin Madison, Madison, WI, United States, Ming Liu, University of Wisconsin-Madison, Madison, United States and Min Chen, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States
 
Maple Tree Mapping Method Using the Harmonized Landsat Sentinel-2 (HLS) Data and Deep Learning (1919163)
Minghao Wang and Hankui Zhang, South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States
 
Four-decades of annual aboveground biomass maps at 30m reveal impacts of disturbances in Arctic and Boreal North America (1925349)
Wanwan Liang1, Kai-Ting Hu2, Olivier van Lier3, Piotr Tompalski4, Mark A Friedl2, James Tremper Randerson5, Douglas C Morton6, Brendan M Rogers7, Arden Llewellyn Burrell8, Matthew J Macander9, Daryl Yang10, Yingtong Zhang2, Jiaming Lu11, Eric Bullock12, Xiaoran Zhu2 and Jonathan A Wang11, (1)University of Utah, School of Biological Sciences, Salt Lake City, United States, (2)Boston University, Earth and Environment, Boston, MA, United States, (3)Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Corner Brook, Canada, (4)Natural Resources Canada - Canadian Forest Service, Pacific Forestry Centre, Victoria, BC, Canada, (5)University of California Irvine, Earth System Science, Irvine, United States, (6)NASA Goddard Space Flight Center, Greenbelt, United States, (7)Woodwell Climate Research Center, Falmouth, United States, (8)Woods Hole Research Center, Woods Hole, United States, (9)ABR, Inc.—Environmental Research & Services, Fairbanks, United States, (10)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, (11)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (12)US Forest Service, Ogden, United States
 
A Multi-Model Framework for Assessing Climate Impacts of Urbanization: Integrating Remote Sensing and Process-Based Models to Analyze Heat, ET, and Carbon for an Urban Watershed in North Texas (1925627)
Pouria HassaniFakhrabadi1, Dongfeng Li2 and Nick Fang2, (1)University of Texas at Arlington, Arlington, TX, United States, (2)University of Texas at Arlington, Civil Engineering, Arlington, United States
 
High Resolution Tree Canopy Height Mapping of the Contiguous United States (1932338)
Griffin Carter1, Fabien Wagner2, Shivraj Gill3, Mayumi Cursino de Moura Hirye4, Stephen Hagen1 and Sassan Saatchi1,5, (1)CTrees, Pasadena, United States, (2)Ecosystem Research Team, CTrees.org, Pasadena, California, USA, Pasadena, United States, (3)CTREES.org, Pasadena, United States, (4)University of São Paulo --- USP, Faculty of Architecture and Urbanism - Quapá Lab, São Paulo, Brazil, (5)NASA Jet Propulsion Laboratory, Pasadena, United States
 
Wall-to-Wall Individual Tree Mapping Using High-Resolution Remote Sensing and AI for Statewide Forest Health and Management (1936325)
Pratima K C1, Kyle Kristian Kabasares2, Khuong H Tran3, Hirofumi Hashimoto1, Scott Horner4, Wen Yip2, Ian G Brosnan5 and Taejin Park6, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)Bay Area Environmental Research Institute, Moffett Field, United States, (3)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States, (4)NASA Ames Research Center, Moffett Field, United States, (5)NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States, (6)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States
 
Local Benefits? The Great Green Wall's Impact on Local Residential Land Price (1940751)
Rosina Yuwen, University of Illinois at Urbana-Champaign, Urbana, ILLINOIS, UNITED STATES
 
Annual Forest Types Mapping from 2020-2024 to Monitor Land Use Change and Support Global Sustainability Initiatives (1961585)
Maxim Neumann1, Anton Raichuk1, Matt Overlan2, Melanie Rey1, Michelangelo Conserva3, Ravi Rajakumar4, Linus Scheibenreif1, Yuchang Jiang5, Michelle Sims6, Radost Stanimirova7, Sarah Carter6, Liz Goldman8, Peter Potapov9, Myroslava Lesiv10, Steffen Fritz10, Nicholas Clinton11, Charlotte Stanton12, Dan Morris13 and Drew Purves2, (1)Google DeepMind, Zurich, Switzerland, (2)Google DeepMind, London, United Kingdom, (3)Google Research, London, United Kingdom, (4)Google DeepMind, New York, United States, (5)University of Zurich, Zurich, Switzerland, (6)World Resources Institute, Washington DC, United States, (7)World Resources Institute, Land & Carbon Lab, Washington, United States, (8)World Resources Institute, Washington, United States, (9)University of Maryland, Department of Geographical Sciences, College Park, United States, (10)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, (11)Google Inc., Mountain View, United States, (12)Google, Mountain View, United States, (13)Google Research, Seattle, United States
 
Harnessing High-Resolution Multispectral and LiDAR Data for Accurate Urban Tree Cover Mapping and Informed Sustainable Planning (1966705)
Akash Awasthi, University of Houston, Houston, United States, Kyle Kristian Kabasares, Bay Area Environmental Research Institute, Moffett Field, United States, Hien Van Nguyen, University of Houston, Department of Electrical and Computer Engineering, Houston, United States, Prof. Rodrigo Vargas, University of Delaware, Plant and Soil Sciences, Newark, DE, United States, Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States, Ian G Brosnan, NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States, Taejin Park, NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States and Rodrigo Vargas
 
The Blooming Threat: Tracking Bradford Pear Trees Using Satellite Imagery and Artificial Intelligence (1966996)
Hind Semlali, Organization Not Listed, Washington, DC, United States and Hemanth Narayan Dakshinamurthy, South Carolina State University, Orangeburg, SC, United States
 
Understanding the Drivers of Local-Scale Inaccuracy in Global Forest Aboveground Biomass Maps (1974868)
Dingjin Chu and Lu Zhai, Oklahoma State University, Stillwater, United States
 
Deforestation Attribution using the Prithvi EO Foundation Model (1976242)
Rufai Omowunmi Balogun1, Sam Khallaghi2, Sujit Roy3, Rahul Ramachandran3 and Hamed Alemohammad, PhD2, (1)Clark University, Clark Center for Geospatial Analytics, Worcester, MA, United States, (2)Clark University, Clark Center for Geospatial Analytics, Worcester, United States, (3)NASA Marshall Space Flight Center, Huntsville, United States
 
High-Resolution Solar Mapping for Ecological Planting in Energy Infrastructure (1978994)
Alexander Dunaway, Louisiana State University, Landscape Architecture, Baton Rouge, United States and Fabiana Trindade da Salvia, Louisiana State University, Center for Coastal Resiliency, Baton Rouge, United States
 
Annual canopy height estimation in California using 15-day Sentinel-2 time series and a 3D-CNN (1983452)
Daniel Dixon, University of California Davis, Davis, CA, United States and Yufang Jin, University of California Davis, Department of Land, Air, and Water Resources, Davis, United States
 
Identifying green leaf and leaf phenology of individual trees and forests by time series satellite imagery and the chlorophyll and green leaf indicator (CGLI) (1989959)
Baihong Pan1, Xiangming Xiao1, Li Pan2, Andrew D Richardson3, Yujie Liu4, Yuan Yao5, Cheng Meng6, Yanhua Xie7, Chenchen Zhang1 and Yuanwei Qin8, (1)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (2)University of Oklahoma, School of Biological Sciences, Norman, United States, (3)Northern Arizona University, School of Informatics, Computing and Cyber Systems & Center for Ecosystem Science and Society; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, Flagstaff, United States, (4)Northern Arizona University, School of Informatics, Computing and Cyber Systems & Center for Ecosystem Science and Society, Flagstaff, United States, (5)Department of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (6)University of Oklahoma Norman Campus, School of Biological Sciences, Norman, United States, (7)University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States, (8)Hohai University, College of Geography and Remote Sensing, Jiangsu Key Laboratory of Soil and Water Processes in Watershed, Nanjing, China
 
Monitoring Forest Dynamics With the New and Improved National Landcover Database Tree Canopy Cover Dataset (2002929)
Bonnie Ruefenacht1, Josh Heyer1, Karen Schleeweis2, Ian Housman1, Kevin Megown3, Seth Bogle1 and Jaclyn Reischmann3, (1)RedCastle Resources, Contractor to USDA Forest Service, Field Services and Innovation Center–Geospatial Office, Salt Lake City, United States, (2)USDA Forest Service Rocky Mountain Research Station, Ogden, UT, United States, (3)USDA Forest Service, Field Services and Innovation Center–Geospatial Office, Salt Lake City, United States
 
Challenges and Opportunities for Carbon Balance under Changing Climate in the Forest Ecotone of Central Norway (2003988)
Zeeshan Virk1, Marzieh Hassanzadeh Saray2, Muhmammad Moazezian2, Anders Bryn3, Stephanie Eisner4, Jessica Fennell5, Hannu Marttila6, Ali Torabi Haghighi7 and Bjørn Kløve6, (1)University of Oulu, Process and Environmental Engineering (Water, Energy and Environmental Engineering Research Unit), Oulu, Finland, (2)University of Oulu, Oulu, Finland, (3)University of Oslo, Oslo, Norway, (4)Norwegian Institute of Bioeconomy Research, Oslo, Norway, (5)Norwegian Institute of Bioeconomy Research, Moss, Norway, (6)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland, (7)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, Oulu, Finland
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