Seeing the forests and the trees: Advances in active remote sensing capabilities leading to a better understanding of forest ecosystems and natural resource management.

Whitehurst, Amanda

B077
Seeing the forests and the trees: Advances in active remote sensing capabilities leading to a better understanding of forest ecosystems and natural resource management.

Session ID#: 252084

Session Description:

The innovative technologies of NASA’s remote sensing missions enable greater knowledge of the forest ecosystem and improved management of our natural resources. With the new data and research from missions like GEDI and NISAR, the STV Incubation Program, as well as airborne remote sensing instruments and missions, scientists and resource managers will have more available active remote sensing data than ever before for understanding the forest ecosystem. This session seeks projects that use these innovative technologies and highlight how they can improve our resource management capabilities, aligning with the NASA Earth Science to Action Strategy, to improve the feedback between research and applications. Abstracts may use active remote sensing metrics for forest ecosystem management with direct applications to the public and commercial sectors including the tracking of change, improvement of data products, and fusion with other datasets to improve ecosystem knowledge and applications.

Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
0498 General or miscellaneous [BIOGEOSCIENCES]

Primary Convener: Amanda Whitehurst, NASA Headquarters, Washington, DC, United States

Conveners: Gerald W Bawden¹, Yadira Bordlemay Padilla¹ and Amber E Emory², (1)NASA Headquarters, Washington, United States(2)NASA Goddard Space Flight Center, Greenbelt, MD, United States

Imaging vegetation and change with the airborne QUAKES-I and SAR-Fusion instruments as a precursor to Surface Topography and Vegetation (STV) observations (Invited) (1849481)

Andrea Donnellan, Purdue University, West Lafayette, United States, Curtis Padgett, Jet Propulsion Laboratory, Pasadena, United States, Ryan Applegate, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Joseph J. Green, Jet Propulsion Laboratory, Pasadena, CA, United States, Robert Wayne Zinke, JPL/NASA/Caltech, Pasadena, United States and Susan Bell, NASA Jet Propulsion Laboratory, California Institute of Technology, Instrument Systems, Pasadena, United States

Effectiveness of Protected Areas on Post-disturbance Forest Regeneration (1892097)

Mia Oxer and James R Kellner, Brown University, Providence, RI, United States

OBIWAN API: GEDI-Based Monitoring of Forest Biomass Change (1899461)

Sean P Healey, Rocky Mountain Research Station, Ogden, United States and Zhiqiang Yang, USDA Forest Service, Rocky Mountain Research Station, Riverdale, United States

Forest Vegetation Moisture from InSAR Closure Phase (1922917)

Elizabeth Wig, Stanford University, Department of Electrical Engineering, Stanford, CA, United States, Roger J Michaelides, Washington University in St. Louis, Department of Earth, Environmental, and Planetary Sciences, St. Louis, United States and Howard A Zebker, Stanford University, Stanford, United States

Mapping Terrain and Canopy Structure of a Tropical Peatland by Fusing GEDI and ICESat-2 (1931021)

Hao Tang¹, Elizabeth Rodriguez-Ronderos¹, Yuan Sun¹, Yi Li¹ and Alex Cobb², (1)National University of Singapore, Singapore, Singapore, (2)Nanyang Technological University, Singapore, Singapore

Uncovering definition inconsistencies in dryland woody cover maps using UAV-based lidar data (1934012)

Xinyuan Li¹, Matthew Hansen², Peter Potapov², Alexandra Tyukavina², Amadou Moctar Dieye³, Cheikh Mbow³, Abdoul A Diouf³, Andrew J. Poulson², Walter Andres Hernandez Serna⁴, Jeffrey Pickering², Babacar Ndao³, Cheikh Mame Mor Mbodji³ and Katherine A Melocik⁵, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)Centre de Suivi Ecologique, Dakar, Senegal, (4)University of Maryland College Park, College Park, United States, (5)NASA Goddard Space Flight Center, Science Systems and Applications, Inc., Greenbelt, MD, United States

Validation of NISAR Wetland Inundation Requirements Using Fully Polarimetric L-band Airborne SAR Data (1935556)

Bruce D Chapman, NASA Jet Propulsion Laboratory, Pasadena, CA, United States

NISAR Tropical WETlands Validation Experiment (WETVEX): Execution of a workflow for calibration-Validation of NISAR Datasets for a Tropical Wetlands Complex (1937535)

Kyle C McDonald^1,2, Erika Podest³, Nick Steiner⁴, Derek Tesser⁵, Reem Huneini⁶, Reiner Zimmermann^7,8, Armin Niessner⁹, Marcos Rios¹⁰, José David Urquiza Muñoz^11,12, Brandi Downs² and Bruce Chapman², (1)CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)City College of New York, New York. NY, USA, Department of Earth and Atmospheric Sciences, New York, United States, (5)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environment and Geospatial Sciences, St. Louis, United States, (6)CUNY City College of New York, Earth and Atmospheric Science, New York, United States, (7)Hohenheim University, Stuttgart, Germany, Forest Ecology and Remote Sensing Group, Institute of Botany, Stuttgart, Germany, (8)The City College of New York, Earth and Atmospheric Sciences, New York, United States, (9)Forest University of Rottenberg, Panguana Foundation, Rottenburg, Germany, (10)National University of the Peruvian Amazon, Iquitos, Peru, (11)National University of the Peruvian Amazon - UNAP, Forestry Science Faculty, Iquitos, Peru, (12)Max Planck Institute for Biogeochemistry, Department Biogeochemical Processes, Jena, Germany

Leveraging NISAR Time-Series Data for Monitoring Forest Disturbance and Regrowth to Support Sustainable Timber Management and Decision-Making (1937602)

Josef Kellndorfer, Earth Big Data LLC, Falmouth, United States, Leandra Sethares, Earth Big Data LLC, Woods Hole, United States, Paul Robert Siqueira, University of Massachusetts Amherst, Amherst, United States, Bruce D Chapman, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Anup Das, Space Applications Centre, Indian Space Research Organisation, Ahemadabad, India, C Patnaik, Space Applications Centre, Indian Space Research Organisation, Ahmedabad, India, Kyle C McDonald, City University of New York - City College, Earth and Atmospheric Sciences, New York, United States, Sassan S Saatchi, JPL/NASA/Caltech, Carbon Cycle & Ecosystems/Earth Science, Pasadena, United States and Carlos Pedraza, Earth Big Data LLC, Fallmouth, United States

Landsat-based Stratification for Quality Filtering and Aboveground Biomass Density Estimates in GEDI Data Products (1949073)

Joseph Mascaro¹, Paulo A Arevalo², Alice Ni², Mark A Friedl³, Jamis Bruening⁴, John David Armston⁵ and James R Kellner¹, (1)Brown University, Providence, RI, United States, (2)Boston University, Earth and Environment, Boston, United States, (3)Boston University, Earth and Environment, Boston, MA, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (5)University of Maryland, Department of Geographical Sciences, College Park, United States

Continuous Global Forest Structural Complexity Mapping at 25m Resolution from GEDI and SAR Deep Fusion (1949297)

Tiago de Conto, John David Armston and Ralph Dubayah, University of Maryland, Department of Geographical Sciences, College Park, United States

AI‑Driven Fusion of NAIP Photogrammetry and Multi‑Sensor Data for High‑Resolution Forest Biomass Mapping (1949913)

Chao Wang¹, Conghe Song², Todd Schroeder³, Tamlin Pavelsky¹, Zhengxiao Yan⁴, Yulong Zhang⁵, Fangfang Yao⁶ and Yuwei Fu¹, (1)University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States, (2)University of North Carolina at Chapel Hill, Department of Geography and Environment, Chapel Hill, United States, (3)USDA Forest Service Southern Research Station, Hot Springs National, United States, (4)University of North Carolina at Chapel Hill, Department of Geography and Environment, Chapel Hill, NC, United States, (5)Duke University, Division of Earth and Climate Sciences, Nicholas School of the Environment, Durham, NC, United States, (6)Brown University, Providence, United States

On the synergy of the NASA GEDI and NASA/ISRO NISAR missions for high-resolution biomass mapping (1951249)

Preet Lal¹, John David Armston², Naveen Ramachandran³, Dr. Sassan Saatchi³ and Ralph Dubayah², (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States

Dry deposition of air pollutants by city-owned street trees (1951913)

Siliang Cui, University of Toronto Mississauga, Mississauga, ON, Canada and Matthew Adams Dr., University of Toronto, Geography, Geomatics and Environment, Mississauga, Canada

Monitoring forest structure change using multi-temporal airborne lidar workflows in OpenForest4D (1954639)

Chelsea P Scott¹, Sreeja Krishnamari², Viswanath Nandigam³, Cesar Ivan Alvites Diaz⁴, Carlos Alberto Silva⁴, Andrew J. Sanchez Meador⁵, Meagan Dreher⁵, Mark Christiano⁶ and Andrew T Hudak⁷, (1)Arizona State University, Earth and Space Exploration, Tempe, AZ, United States, (2)Arizona State University, Earth and Space Exploration, Tempe, United States, (3)University of California San Diego, La Jolla, CA, United States, (4)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (5)Northern Arizona University, Ecological Restoration Institute and School of Forestry, Flagstaff, United States, (6)USDA Forest Service, Kaibab National Forest, Flagstaff, United States, (7)USDA Forest Service, Rocky Mountain Research Station, Moscow, United States

Multimodal crown segmentation across spatial resolutions (1958098)

Alyson East, University of Maine, Orono, ME, United States, Sydne Record, University of Maine, Wildlife, Fisheries, and Conservation Biology, Orono, United States and Adam Eichenwald, University of Maine, Orono, United States

Modeling L-band Microwave Scattering in Boreal Forests using MIMICS and MLS-Derived Forest Structure during SMAPVEX22-Boreal (1966649)

Nick Steiner, City College of New York, New York. NY, USA, Department of Earth and Atmospheric Sciences, New York, United States, Kyle C McDonald, City University of New York - City College, Earth and Atmospheric Sciences, New York, United States, Aaron A Berg, University of Guelph, Department of Geography, Environment and Geomatics, Guelph, ON, Canada, Andreas Colliander, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and SMAPVEX22-Boreal Science Team

Multi-Scale Structural Patterns Derived from LiDAR Informs the Monitoring of Forest Restoration Efforts (1969653)

Bryan Fuentes¹, Sean Jeronimo¹, Derek Churchill² and Miles LeFevre¹, (1)Resilient Forestry, Seattle, United States, (2)Washington State Department of Natural Resources, Olympia, United States

Seeing through the big trees: GEDI-based detection of strawberry guava invasion in Hawaiʻi (1980315)

Joseph Percival, University of Hawaii at Hilo, Hilo, United States, Olivia Jarvis, University of Hawaii at Hilo, Hilo, HI, United States, Adrian Pascual, University of Maryland College Park, Geography, College Park, MD, United States, Matthew Johnson, USDA Forest Service, Hilo, United States, Narumasa Tsutsumida, Saitama University, Graduate school of Science & Engineering, Saitama, Japan, Johannes Reiche, Wageningen University and Research Center, Wageningen, Netherlands, Ryan L Perroy, University of Hawaii at Hilo, Geography and Environmental Science, Hilo, United States and Francisco Rodriguez-Puerta, University of Valladolid, Ávila, Spain

L-Band SAR BASED ANALYSIS of FOREST CHANGE DYNAMICS IN THE CONGO BASIN (1981225)

Adugna Mullissa^1,2, Sassan S Saatchi³, Nathan Trux⁴, Ricardo Dalagnol⁵, Fabien Wagner⁶, Le Bienfaiteur Sagang Takougoum⁷, Zhihua Liu², Lorena Alves⁸, Mayumi Cursino de Moura Hirye⁹ and Stephen Hagen², (1)University of California Los Angeles, Pasadena, United States, (2)CTrees, Pasadena, United States, (3)JPL/NASA/Caltech, Carbon Cycle & Ecosystems/Earth Science, Pasadena, United States, (4)Ctrees, Pasadena, United States, (5)University of California Los Angeles, Earth Observation and Geoinformatics Division, Los Angeles, United States, (6)Ecosystem Research Team, CTrees.org, Pasadena, California, USA, Pasadena, United States, (7)University of California, Los Angeles, United States, (8)University of California, Los Angeles, Los Angeles, United States, (9)University of São Paulo --- USP, Faculty of Architecture and Urbanism - Quapá Lab, São Paulo, Brazil

Intercomparison of L-band and C-band SAR Inundation Products with Water Level Sensor Validation (1989874)

Brian Thomas Lamb, PhD, U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, Coram, United States, Kyle C McDonald, City University of New York - City College, Earth and Atmospheric Sciences, New York, United States, Maria Tzortziou, Columbia University of New York, New York, United States, Derek Tesser, Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environment and Geospatial Sciences, St. Louis, United States and Nick Steiner, City College of New York, New York. NY, USA, Department of Earth and Atmospheric Sciences, New York, United States

Seasonal and intra-seasonal variations in SAR data driven by moisture changes in soil and trees observed during the SMAPVEX22 campaign in the NISAR context (1993141)

Seungbum Kim, Univ California Los Angeles, Los Angeles, United States, Xiaolan Xu, Jet Propulsion Lab, Pasadena, United States and Andreas Colliander, Jet Propulsion Laboratory, Pasadena, United States

Estimating Temperate Forest Aboveground Biomass using Timeseries L-band ALOS SAR Data (1998048)

Dr. Naveen Ramachandran, Jet Propulsion Laboratory, Carbon Cycle & Ecosystems/Earth Science, Pasadena, United States, Sassan S Saatchi, Jet Propulsion Laboratory, Pasadena, United States; Jet Propulsion Lab, California Institute of Technology, Carbon Cycle & Ecosystems/Earth Science, Pasadena, United States, Alexandra Christensen, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and KC Cushman, Brown University, Ecology and Evolutionary Biology, Providence, United States

Multitemporal Aboveground Biomass Density Modeling in California’s Forests Using GEDI LiDAR and Remote Sensing (2002592)

Md. Didarul Islam¹, Jessica Miesel¹, Matthew Dickinson², Andrew Johnson³ and Jens T. Stevens⁴, (1)University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, United States, (2)Fire Behavior Assessment Team, United States Forest Service, Delaware, United States, (3)University of California Berkeley, Department of Environmental Science, Policy, & Management, Berkeley, United States, (4)USDA Forest Service, Washington DC, United States

Texture-Driven Structural Classification of Tropical Forests Using Dual-Polarized L-band SAR (2002896)

Derek Tesser¹, Kyle C McDonald^2,3, Erika Podest⁴, Brian Thomas Lamb, PhD⁵, Nico Blüthgen⁶, Constance Tremlett⁶, Felicity Newell⁷, Edith Villa-Galaviz⁶, Martin Schaefer⁸ and Raul Nieto⁹, (1)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environment and Geospatial Sciences, St. Louis, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)The City College of New York, Earth and Atmospheric Sciences, New York, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, Coram, United States, (6)Technische Universität Darmstadt, Ecological Networks, Department of Biology, Darmstadt, Germany, (7)Louisiana State University, Department of Biological Sciences, Baton Rouge, United States, (8)Fundación Jocotoco, Quito, Ecuador, (9)Itapoa Project, Cali, Colombia

Thirty Years of Airborne Forest Mapping from LVIS (Invited) (2003488)

Michelle A Hofton, Univ Maryland College Park, College Park, United States, J Bryan Blair, NASA Goddard Space Flight Center, Greenbelt, United States and David Rabine, NASA Goddard Space Flight Center, Code 61A, Greenbelt, MD, United States

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B077 Seeing the forests and the trees: Advances in active remote sensing capabilities leading to a better understanding of forest ecosystems and natural resource management.

Session Description:

Index Terms:

B077
Seeing the forests and the trees: Advances in active remote sensing capabilities leading to a better understanding of forest ecosystems and natural resource management.