Carbon Monitoring Systems Research and Applications

Session ID#: 156956

Session Description:
Greenhouse gas emission inventories, climate mitigation planning, forest carbon sequestration and Payment for Ecosystem Services (PES) programs, cap-and-trade systems, self-reporting programs, and their associated Monitoring, Reporting and Verification (MRV) frameworks depend upon data that are accurate, systematic, practical, and transparent. For carbon, there are multiple MRV frameworks in existence, reflecting a diversity of spatial scales, governing bodies, and relevant policies. Given the scientific challenges, policy importance, and breadth of activities occurring around the world, this session will focus on advances in research and applications, including decision support and policy, that align or address stakeholder needs through the measuring, modeling, and monitoring of strategic carbon pools. Land, coastal, and ocean themed contributions are welcome.

This session will also feature a panel of stakeholders, representing local, state, and national government agencies, NGOs, and the private sector, who will discuss their use of CMS data products and carbon policies emerging from the United Nations Climate Change Conference (COP27 and others).

Primary Convener:  Peter C Griffith, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners:  George C Hurtt, University of Maryland College Park, Department of Geographical Sciences, College Park, United States, Edil Sepulveda Carlo, NASA Goddard Space Flight Center / SSAI, Greenbelt, MD, United States and Molly Elizabeth Brown, Department of Geographical Sciences, University of Maryland, Greenbelt, United States
 
Identifying Variability in Forest Cover Estimates in Mexico by Comparing Multiple Satellite-Derived Data Products (1058666)
Dustin Braden1, Pinki Mondal1, Taejin Park2 and Rodrigo Vargas3, (1)University of Delaware, Newark, DE, United States, (2)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States, (3)University of Delaware, Newark, United States
 
Projection of global forest carbon sequestration potential under changing climate (1063120)
Lei Ma1, George C Hurtt2, Rachel L Lamb2, Hao Tang3 and Quan Shen1, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (3)National University of Singapore, Geography, Singapore, Singapore
 
The Contribution of Satellite Measurements to CMS and a Look Forward (Invited) (1064384)
Annmarie Eldering1, Abhishek Chatterjee2, Vivienne Payne3 and Junjie Liu2, (1)Self, Washington, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Does Decreased Forest Harvest Cause Substitution of Higher Global Warming Products? An Empirical Study. (1068795)
Caren Dymond1, Doug Hopwood2, Adam Robertson3 and Getachew Assefa3, (1)Government of British Columbia, Forest Carbon and Climate Services Branch, Victoria, BC, Canada, (2)Self, Nanaimo, BC, Canada, (3)University of Calgary, Calgary, Canada
 
An estimate of the amount of geological CO2 storage over the period 1996-2020 (1071593)
Yuting Zhang, Imperial College London, London, SW7, United Kingdom
 
Low latency flux and concentration datasets in support of greenhouse gas monitoring based on NASA’s GEOS modeling and data assimilation system (1072522)
Lesley Ott, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
First Airborne Flux Measurements of Greenhouse Gas Exchange over The Everglades during BlueFlux (1076614)
Erin Delaria1, Reem A Hannun2, Glenn M Wolfe1, Benjamin Poulter3, Leslie R Lait4, Paul A Newman5, Kenneth Lee Thornhill II6, Robert Szot7, Chandler Pruett7 and Spencer Blum7, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Harvard Univ/Anderson Group, Cambridge, MA, United States, (3)NASA GSFC, Biospheric Science, Greenbelt, MD, United States, (4)NASA Goddard Space Flt Cntr, Greenbelt, MD, United States, (5)NASA GSFC, Code 610, Greenbelt, MD, United States, (6)NASA Langley Research Center, Hampton, United States, (7)Florida State University, Tallahassee, United States
 
Assessing Remote Sensing for Forest Carbon Monitoring and Its Implications for Tree Outside Forest in Maryland (1090385)
Quan Shen1, George C Hurtt2, Lei Ma2, Rachel L Lamb2, Jarlath ONeil-Dunne3, Matthew Hansen2 and Chengquan Huang1, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (3)University of Vermont, Burlington, VT, United States
 
Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System - Follow-On (1096856)
Sha Feng1, Arlyn Andrews2, Tao Zheng3, Jeff Steward4, Jia Jung5, John B Miller2, Michael Trudeau6, Kenneth J Davis7, Michael Dietze8, Christopher A Williams9, Grant Domke10, Christopher O'Dell11 and Sean Crowell12, (1)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (2)NOAA, Global Monitoring Laboratory, Boulder, United States, (3)Central Michigan University, Mount Pleasant, MI, United States, (4)Tomorrow.io, Boulder, United States, (5)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (7)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (8)Boston University, Earth and Environment, Boston, United States, (9)Clark University, Graduate School of Geography, Worcester, MA, United States, (10)USDA-Forest Service, St. Paul, United States, (11)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (12)University of Oklahoma, Norman, OK, United States
 
Simulation of Groundwater Dynamics in Degraded Indonesian Tropical Peatlands to Assess Vulnerability to Wildfire (1106952)
Iman Salehihikouei1, Keith N Eshleman2 and Mark A. Cochrane1, (1)University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, MD, United States, (2)University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, United States
 
Wet carbon monitoring with remote sensing: a review of the knowledge and needs (1109862)
Anthony Campbell1,2, David Lagomasino3, Temilola Fatoyinbo4, Sean P Charles5,6, Laura L Bourgeau-Chavez7, Joaquim I Goes8, Helga R Gomes8, James Robert Holmquist9, Meghan Halabisky10,11, Steven E Lohrenz12, Catherine M Mitchell13, L. M. Moskal14, Benjamin Poulter4, Han Qiu15, Celio Helder Resende de Sousa10, Michael Sayers16, Marc Simard17, Anthony J Stewart14, Debjani Singh18, Carl Trettin19, Jinghui Wu20 and Xuesong Zhang21, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland, Baltimore County, Goddard Earth Sciences Technology and Research, Baltimore, United States, (3)East Carolina University, Integrated Coastal Programs, Wanchese, United States, (4)NASA GSFC, Biospheric Science, Greenbelt, MD, United States, (5)East Carolina University, Department of Coastal Studies, Greenville, NC, United States, (6)Florida International University, Miami, United States, (7)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (8)Lamont Doherty Earth Obs, Palisades, NY, United States, (9)Smithsonian Environmental Research Center, Edgewater, United States, (10)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, (11)University of Washington, Seattle, United States, (12)University of Massachusetts Dartmouth, New Bedford, MA, United States, (13)Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, United States, (14)University of Washington Seattle Campus, Seattle, WA, United States, (15)University of Wisconsin-Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States, (16)Michigan Tech Research Inst, Ann Arbor, MI, United States, (17)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (18)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (19)USDA Forest Service Southern Research Station, Cordesville, SC, United States, (20)Lamont -Doherty Earth Observatory, Palisades, United States, (21)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
 
Development of Trace Carbon Dioxide Isotopologue Analyzer - Performance Evaluation Study (1111958)
Mark Johnson1, Graham Alan Leggett1, Anatoly Komissarov2, Israel Begashaw1, Doug Lynch1 and Bj Clark3, (1)LI-COR Biosciences, Lincoln, NE, United States, (2)LI-COR Biosciences, Lincoln, United States, (3)LI-COR, Lincoln, Nebraska, UNITED STATES
 
Mapping national forest aboveground biomass in Mexico by integrating GEDI, Sentinel‐1 and Sentinel‐2 data (1114532)
Taejin Park1, Rodrigo Vargas2, Ian G Brosnan3 and Ramakrishna R Nemani1, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)University of Delaware, Newark, United States, (3)NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States
 
Synthesizing tropical agricultural methane emission products, models of wetland emissions and atmospheric observations to support the Global Stocktake (1115717)
Sourish Basu, University of Maryland College Park, College Park, United States, Youmi Oh, University of Colorado Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, Benjamin Poulter, NASA GSFC, Biospheric Science, Greenbelt, MD, United States and Lori Bruhwiler, NOAA Boulder, Boulder, CO, United States
 
Vegetation Response to Water Dynamics in Eastern African Rangelands (1126788)
Jiaming Wen1, Giulia Tagliabue2, Cinzia Panigada2, Micol Rossini3, Francesco Fava4 and Ying SUN5, (1)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, (2)University of Milano - Bicocca, Department of Earth and Environmental Sciences, Milan, Italy, (3)University of Milano-Bicocca, Department of Earth and Environmental Sciences, Milan, Italy, (4)Università degli Studi di Milano, Department of Environmental Science and Policy, Milano, Italy, (5)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States
 
Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane (1127049)
Daniel Jacob1, Daniel J. Varon2, Daniel Cusworth3, Philip E Dennison4, Christian Frankenberg5, Ritesh Gautam6, Luis Guanter7, John Kelley8, Jason McKeever9, Lesley E Ott10, Benjamin Poulter11, Zhen Qu12, Andrew K Thorpe13, John R Worden14 and Riley Duren3, (1)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States, (2)Harvard University, Cambridge, United States, (3)University of Arizona, Tucson, United States, (4)University of Utah, Geography, Salt Lake City, UT, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, United States, (6)Environmental Defense Fund DC, Washington, United States, (7)Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain, (8)GeoSapient, Inc., Cypress, United States, (9)GHGSat, Inc., Montreal, QC, Canada, (10)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, (11)NASA GSFC, Biospheric Science, Greenbelt, MD, United States, (12)Harvard University, Cambridge, MA, United States, (13)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (14)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Estimating Forest Carbon Using Machine Learning-produced Maps: Correcting for Machine Learning Estimator Bias and Estimating Uncertainty Using National Forest Inventory Data, Model-assisted and Geostatistical-model-based Estimators (1127969)
Ethan Emick1, Chad Babcock1, Andrew T Hudak2, Andrew O Finley3 and Grant Domke4, (1)University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, United States, (2)USDA Forest Service, Rocky Mountain Research Station, Moscow, United States, (3)Michigan State University, Departments of Forestry and Geography, East Lansing, United States, (4)USDA-Forest Service, St. Paul, United States
 
Methane Emissions Decline From Reduced Oil, Natural Gas, and Refinery Production During COVID-19 (1132750)
Andrew K Thorpe1, Eric A Kort2, Daniel Cusworth3, Alana Ayasse3, Brian D Bue4, Vineet Yadav5, David R Thompson4, Christian Frankenberg6, Jorn Herner7, Matthias Falk8,9, Robert O Green5, Charles E Miller10 and Riley Duren3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, United States, (3)University of Arizona, Tucson, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)NASA Jet Propulsion Laboratory, Pasadena, United States, (7)California Environmental Protection Agency Air Resources Board, Sacramento, CA, United States, (8)University of California, Davis, CA, United States, (9)California Environmental Protection Agency Air Resources Board, Sacramento, United States, (10)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States
 
The Forest Carbon Framework: leveraging Earth-observation data to democratize carbon markets (1133441)
Robert E Kennedy, Oregon State University, Corvallis, United States, Chad Babcock, University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, United States, David M Bell, US Forest Service Corvallis, Pacific Northwest Research Station, Corvallis, OR, United States, David S Saah, University of San Francisco, Geospatial Analysis Lab, San Francisco, CA, United States, Andrew T Hudak, USDA Forest Service, Rocky Mountain Research Station, Moscow, United States, Van R Kane, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, United States, Audrey Hyke, University of Minnesota Twin Cities, Minneapolis, United States, Matt Gregory, Oregon State University, Corvallis, OR, United States and Tim Kramer, Spatial Informatics Group, LLC, Alameda, United States
 
Upscaling Wetland Methane Emissions with a Causality Guided Machine Learning Model (1138220)
Kunxiaojia Yuan1, Qing Zhu2, Min Chen3, Gavin McNicol4, William J Riley1, Sara Knox5 and Alison Hoyt6, (1)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, United States, (2)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (3)University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States, (4)University of Illinois at Chicago, Department of Earth and Environmental Sciences, Chicago, United States, (5)University of British Columbia, Geography, Vancouver, BC, Canada, (6)Stanford University, Earth System Science, Stanford, United States
 
Combining Air Borne LiDAR and Forest Inventory Analysis Data (FIA) to Develop a Forest Carbon Model Using Machine Learning Techniques (1149841)
Shashika Himandi and Chandi Witharana, University of Connecticut, Natural Resources and the Environment, Storrs, United States
 
Multi-scale Constraints Towards Understanding Conifer Forest Carbon Uptake in Complex Terrain within the Carbon Monitoring System-Mountains Project (1150299)
Lewis Kunik1, Brett M Raczka2, Kenneth Smith3, Philipp Köhler4, Christian Frankenberg5, Rui Cheng5, Michael Goulden6, David R Bowling7 and John C Lin1, (1)University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (4)EUMETSAT, Remote Sensing and Products Division, Darmstadt, Germany, (5)California Institute of Technology, Pasadena, United States, (6)University of California Irvine, Department of Earth System Science, Irvine, United States, (7)University of Utah, School of Biological Sciences, Salt Lake City, United States
 
Leveraging High-Resolution Forest Carbon Science to Support Maryland’s Net-Zero GHG Reduction Goal (1155096)
Rachel L Lamb1,2, George C Hurtt2, Lei Ma2, Elliott T Campbell3, Quan Shen4, Frances Marie Sanchez Panday2 and Mark Stewart1, (1)Maryland Department of the Environment, ARA Climate Change Program, Baltimore, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (3)Maryland Department of Natural Resources, Office of Science and Stewardship, Annapolis, United States, (4)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
 
Comparison of GEDI and ICESat-2 Terrain and Canopy Height Estimates in African Savanna Vegetation (1161319)
Xiaoxuan Li1, Konrad Wessels2, John David Armston3, Laura Duncanson3, Steven Hancock4, Renaud Mathieu5, Russell Main6, Laven Naidoo6 and Barend Erasmus7, (1)George Mason University Fairfax, Geography and Geoinformation Science, Fairfax, VA, United States, (2)George Mason University, Geography and GeoInformation Science, Fairfax, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, United States, (4)University of Edinburgh, School of Geosciences, Edinburgh, United Kingdom, (5)International Rice Research Institute, Metro Manila, Philippines, (6)Precision Agriculture Group, Advanced Agriculture and Food Cluster, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa, (7)University of Pretoria, Faculty of Natural and Agricultural Sciences, Pretoria, South Africa
 
Preparing the global CMS Flux system for application to carbon flux inventories via regional-scale, observation-based evaluations (1173413)
Kenneth J Davis1, Li Zhang2, Daniel Wesloh2, Junjie Liu3, A. Anthony Bloom3, Brendan Byrne4, Eren Bilir4, Sha Feng2, Stephen M Ogle5, Gabriel Dias Ferreira6 and Grant Domke, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, United States, (5)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States, (6)Colorado State University, Fort Collins, United States
 
Conservation or Harvesting? Carbon Dynamics of Old-Growth Forests in Coastal British Columbia (1174612)
Bing Xu1, Caren Dymond2, Edward A Johnson1 and Sari C. Saunders3, (1)University of Calgary, Biological Sciences, Calgary, AB, Canada, (2)Government of British Columbia, Forest Carbon and Climate Services Branch, Victoria, BC, Canada, (3)BC Ministry of Forests, Coast Area Research, FLNRORD, Nanaimo, BC, Canada
 
CCMS v.2.0: Improved Cropland Carbon Monitoring System (1175392)
Varaprasad Bandaru, USDA-ARS, Maricopa, United States, Rohit Nandan, Indian Institute of Technology Bombay, Centre of Studies in Resources Engineering, Mumbai, India, Craig Daughtry, USDA Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Peter Beeson, Roger Tory Peterson Institute of Natural History, Jamestown, United States, Curtis Dinneen Jones, University of Maryland College Park, geographical sciences, College Park, MD, United States and Michael Cosh, USDA ARS, Baltimore, United States
 
Estimating Methane Fluxes from Large Point Sources in New York State: A Methodological Intercomparison (1192294)
Lee T Murray1, Matthew Loman2, Jie Zhang3, Margaret Jane Schwab3, Alexandra M Catena4, Joseph Marto5, James Jerome Schwab3, Mackenzie Smith6, Eric M Leibensperger7, Andrew Hallward-Driemeier8 and Roisin Commane8,9, (1)University of Rochester, Department of Earth and Environmental Sciences, Rochester, NY, United States, (2)University of Rochester, Department of Earth and Environmental Sciences, Rochester, United States, (3)University at Albany State University of New York, Atmospheric Sciences Research Center, Albany, NY, United States, (4)University at Albany State University of New York, Atmospheric Science Research Center, Albany, United States, (5)University at Albany State University of New York, Atmospheric Sciences Research Center, Albany, United States, (6)Scientific Aviation Inc., Boulder, United States, (7)Ithaca College, Department of Physics and Astronomy, Ithaca, United States, (8)Lamont -Doherty Earth Observatory, Palisades, United States, (9)Columbia University, New York, United States
 
Mapping Changes of Global Above Ground Biomass of Live Vegetation from 2001-2021 Using Satellite Observations and Deep-Learning Models (1193112)
Yan Yang1, Dr. Sassan Saatchi2, Samuel Favrichon3, A. Anthony Bloom4, Kevin W Bowman4, Nancy Harris5, Susan Cook-Patton6, Julia Pongratz7 and Selma Bultan8, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)JPL/NASA/Caltech, Pasadena, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)World Resources Institute, Washington DC, United States, (6)The Nature Conservancy, Arlington, United States, (7)Ludwig Maximilians University of Munich, Munich, Germany, (8)Ludwig-Maximilians-Universität Munich, Munich, Germany
 
Joint Prediction of Forest Area and Forest Carbon using a Bayesian Hierarchical Spatial Modeling Framework (1200084)
Chad Babcock, University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, United States and Audrey Hyke, University of Minnesota Twin Cities, Minneapolis, United States
 
New Datasets for Estimating Wildfire Area Burned at Regional Scales for the Continental US: Implications for Estimating Carbon-Based Emissions (1202515)
Eric S Kasischke, University of Maryland College Park, College Park, MD, United States, Nancy H F French, Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, Michael Bilmire, Michigan Technological Research Institute, Ann Arbor, United States and Jeremy Graham, Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States
 
Improved Estimations of Peatland distribution and C stocks Via Multi-date Optical and Radar Imagery (1205124)
Laura L Bourgeau-Chavez1, Michael Battaglia1, Dorthea J Vander Bilt1, Jeremy Graham2, Rodney Chimner3, Erik Lilleskov4 and Michael Bilmire5, (1)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (2)Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States, (3)Michigan Technological University, Houghton, MI, United States, (4)USDA Forest Service, Northern Research Station, Houghton, MI, United States, (5)Michigan Technological Research Institute, Ann Arbor, United States
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