IN008
Commercial Earth Observation Data: Research and Applications

Session ID#: 159327

Session Description:
Commercial Earth observation data have shown to be valuable for Earth and Heliospheric science research and applications.  These data provide a cost-effective means to complement data collected from traditional observation missions.  As the capabilities of commercial vendors grow, it is important to continuously monitor the development of the new commercial technology, acquire relevant data to complement existing and future missions, and evaluate the data over time.  This session invites papers on science research and applications that have used the data from commercial vendors.  Additionally, the session is intended for understanding the challenges associated with the usage and management of commercial data.
Index Terms:

1926 Geospatial [INFORMATICS]
9805 Instruments useful in three or more fields [GENERAL OR MISCELLANEOUS]

Primary Convener:  Frederick S Policelli, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
Conveners:  Alfreda Hall, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Manil Maskey, NASA, Huntsville, United States
 
PlanetScope and Sentinel-2 Data to Quantify the Extent and Drivers of Global Forest Loss: Sample-Based Analysis (1046341)
Alexandra Tyukavina1, Matthew Hansen2, Peter Potapov2, Jeffrey Pickering2, Bernard Adusei2, Andrew J. Poulson3, Will Byrne3, Aleksandra Mikus3, Antoine Baggett3, Andre Oktaviandra3, Carolina Ortiz Dominguez3, Steven Painter3, Lauren Thomas3, Arden Ireland3, Hailey Michelle Papagjika3 and Xiao-Peng Song2,4, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)University of Maryland, College Park, United States, (4)Texas Tech University, Department of Geosciences, Lubbock, United States
 
Developing High Spatiotemporal Resolution Inundation Maps to Detect Rapid Changes in Surface Hydrology and Methane Emissions across Ecosystem Gradients in Alaska (1048135)
Andrew Mullen1, Jennifer Watts1, Brendan M Rogers1, Mark Carroll2, Clayton Elder3, Sarah W Cooley4, Eliza Rickenbaugh5, Jonas Noomah1, Allison E Bredder6, Zachary Williams2, Jordan Caraballo-Vega2, Susan Natali1, Charles E Miller3, Greg Fiske1 and Stefano Potter1, (1)Woodwell Climate Research Center, Falmouth, United States, (2)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)University of Oregon, Eugene, United States, (5)Montana State University, Bozeman, United States, (6)University of Maryland, College Park, United States
 
Automated Shoreline Extraction Using Planet Imagery and Machine Learning Techniques in Google Earth Engine. (1050423)
Suvam Patel, California State University Los Angeles, Los Angeles, CA, United States and Joshua Kelly, California State University Los Angeles, Department of Geosciences and Environment, Los Angeles, United States
 
Unprecedented spatiotemporal coverage from COSMIC-2 and Spire GNSS-RO constellations for atmospheric and ionospheric studies (1054629)
Dong Liang Wu, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Manisha Ganeshan, Morgan State University, Baltimore, MD, United States, Tyler Summers, Science Systems and Applications, Inc., Lanham, United States, Daniel J Emmons II, Air Force Research Laboratory Kirtland AFB, Kirtland AFB, United States, Nimalan Swarnalingam, Catholic University of America, Washington, United States and Jie Gong, GEST, Greenbelt, MD, United States
 
Globally Mapping Arctic Beaded Streams with Computer Vision and Planet Imagery (1056441)
Merritt Harlan1, Colin J Gleason2, Jonathan Acero Flores2, Theodore Langhorst3 and Samapriya Roy4, (1)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, (2)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (3)University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, United States, (4)Planet Labs, San Francisco, CA, United States
 
Mapping the 2022 Yellowstone National Park Flood Using High Resolution Commercial Earth Observations (1060645)
Gigi Pavur1, Avery Walters1, Aashutosh Aryal2, Ujjwal Narayan3 and Venkataraman (Venkat) Lakshmi4, (1)University of Virginia, Charlottesville, VA, United States, (2)University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States, (3)BlackSky, Herndon, United States, (4)University of Virginia, Engineering Systems and Environment, Charlottesville, United States
 
Using Daily PlanetScope Imagery to Estimate Seagrass Density and Blue Carbon. (1062603)
Victoria J Hill, Old Dominion University, Ocean, Earth, and Atmospheric Science, Norfolk, VA, United States and Richard Carl Zimmerman, Old Dominion University, Ocean, Earth, & Atmospheic Sciences, Norfolk, VA, United States
 
Mapping of Temporary Roofs in Puerto Rico after Hurricane Maria Using PlanetScope Data (1063341)
Yiming Zhang, University of Maryland College Park, College Park, MD, United States and Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States
 
Levels 1 and 2 Overview of Spire's Ocean GNSS-R Observations (Invited) (1064258)
Mohammad Al-Khaldi1, Darren S McKague2, Clara Chew1, Anthony Russel3 and Dorina Twigg3, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)Univ of Michigan-AOSS, Ann Arbor, MI, United States, (3)University of Michigan Ann Arbor, Space Physics Research Laboratory, Ann Arbor, MI, United States
 
Comparison of snow-covered area derived from PlanetScope CubeSat, Harmonized Landsat Sentinel-2, and MODIS imagery in forested mountain regions (1066471)
Kehan Yang1, Aji John2, David E Shean1, J Michelle Hu1, Jessica D Lundquist1, Ziheng Sun3 and Nicoleta C Cristea1, (1)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (2)University of Washington Seattle Campus, Department of Biology, Seattle, WA, United States, (3)George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, United States
 
Unexploded Ordnance Mapping Across the Ukrainian Front-Lines using Commercial VHR Optical Satellite Imagery and Semantic Segmentation Convolutional Neural Networks (1066968)
Erik Duncan, University of Maryland College Park, College Park, MD, United States, Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States, Alexander V. Prishchepov, University of Copenhagen, Copenhagen, Denmark and Ankit Kariryaa, University of Bremen, Human Computer Interaction Group, Bremen, Germany; University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark
 
Using PlanetScope Data for BMP Identification and Assessment (1067587)
Saurav Kumar, Texas A&M University, Texas A&M AgriLife Research, El Paso, TX, United States and Rocky Talchabhadel, Texas A&M University, Texas A&M AgriLife Research, El Paso, United States
 
Improving Commercial Data Discoverability and Access for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program (1073100)
Aaron S Kaulfus1, Manil Maskey2, Alfreda Hall3, Brian Freitag4, Edward Keeble5, Charles Daniels6, Matthew Hicks4, Bradley W Baker7, Ashish Acharya7, Jayanthi Srikishen8, Deborah Smith7, Anthony Lukach6, Derek Koehl4, Prasanna Koirala7, Dan Pham4, Danielle Groenen7, Heidi Mok5, Sowmya Subramanian9, Madhu Sridhar4, Xiang Li4, Tammo Feldman5, Meghana Paramesh4, Rajesh Pandey4, Meilia Tecson4, Vishal Perekadan7, Terrell Credle10, Rezaur Khan10 and Hadeel Farhan1, (1)NASA Marshall Space Flight Center, Huntsville, United States, (2)NASA Marshall Space Flight Center, MSFC, Huntsville, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)University of Alabama in Huntsville, Huntsville, United States, (5)Development Seed, Washington, DC, United States, (6)Development Seed, Washington DC, United States, (7)University of Alabama in Huntsville, Huntsville, AL, United States, (8)Universities Space Research Association at NASA/MSFC, Huntsville, AL, United States, (9)Development Seed, Washington D.C., United States, (10)NASA Goddard Space Flight Center, Greenbelt, United States
 
Reconstruction of a High-quality PlanetScope Time Series for Plant Species Phenology Detection in Western United States (1075621)
Yuxia Liu1, Xiaoyang Zhang2, Jianmin Wang1 and Yongchang Ye1, (1)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (2)South Dakota State University, Department of Geography and Geospatial Sciences ,and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States
 
Landslide susceptibility and runout assessment for the Arun hydropower cascade in Nepal based on multitemporal landslide inventory developed using Planet imagery. (1087978)
Pukar Man Amatya, University of Maryland Baltimore County, GESTAR-II, Baltimore, MD, United States, Robert Emberson, University of Maryland Baltimore County, GESTAR-II, Baltimore, United States and Dalia Kirschbaum, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, United States
 
Automated Detection of Coldwater Streams using High Resolution Commercial Satellite and Drone Imagery in the Mid-western United States (1088246)
Niti B. Mishra1, Michael Siepkar2 and Gregory Simmons2, (1)University of Wisconsin La Crosse, La Crosse, WI, United States, (2)Department of Natural Resources Iowa, Decorah, United States
 
Assessment of High Resolution Commercial Satellite Geolocation Accuracy (1093466)
Alana Semple1,2, Bin Tan1,2 and Guoqing Lin2, (1)Science Systems and Applications, Inc., Lanham, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States
 
Mapping Wetland Seasonal Inundation using Synthetic Aperture Radar in the ABoVE Study Domain (1094604)
Michael Battaglia1, Shaniqwa Martin2,3, Xanthe Thomas2, Laura L Bourgeau-Chavez1 and Nancy H F French1, (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)Eastern Michigan University, Ypsilanti, United States
 
Landsat at 3 m resolution?!? Applying a super resolution model to surface water detection (1094798)
Ethan D. Kyzivat and Laurence C Smith, Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, RI, United States
 
Harmonization of commercial high-resolution satellite time series - a least-squares spatio-temporal adjustment approach (1110967)
Lin Yan, Michigan State University, Center for Global Change and Earth Observations, East Lansing, MI, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States and Haiyan Huang, Center for Global Change and Earth Observations, East Lansing, MI, United States
 
Using High-Resolution Planet Data to Retrieve Aerosol Properties for the 2020 Wildfire Events (1114715)
Ankur Kumar1, Sundar A Christopher2, Aaron S Kaulfus3 and Udaysankar Nair1, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Alabama in Huntsville, Atmospheric and Earth Science, Huntsville, AL, United States, (3)NASA Marshall Space Flight Center, Huntsville, United States
 
A High Resolution Sea Ice Extent Product Derived From GNSS Reflected Grazing Angle (1115375)
Ankur Kumar, University of Alabama in Huntsville, Huntsville, AL, United States and Aaron S Kaulfus, NASA Marshall Space Flight Center, Huntsville, United States
 
Planetary Boundary Layer Height and Profiling Characteristics from Spire GNSS-RO Data (1115545)
Panagiotis Vergados1, Joseph A Santanello Jr2, Manisha Ganeshan3, Dong Liang Wu4 and Chi O Ao1, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD, United States, (3)Morgan State University, Baltimore, MD, United States, (4)Climate and Radiation Laboratory, NASA/GSFC, Greenbelt, MD, United States
 
Lower atmospheric sounding capability from Spire and operational GNSS RO products for Arctic PBL studies (1116567)
Manisha Ganeshan1, Dong Liang Wu2, Joseph A Santanello Jr3, Jie Gong4, Chi O Ao5 and Panagiotis Vergados5, (1)Morgan State University, Baltimore, MD, United States, (2)Climate and Radiation Laboratory, NASA/GSFC, Greenbelt, MD, United States, (3)Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD, United States, (4)GEST, Greenbelt, MD, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Uncovering Mangrove Range Limits with High Resolution WoldView and PlanetScope Commercial Satellite Imagery (1117882)
Cheryl Doughty, NASA GSFC, Biospheric Science, Greenbelt, United States; Oak Ridge Associated Universities, Oak Ridge, United States, Kyle Cavanaugh, University of California Los Angeles, Geography, Los Angeles, CA, United States and Temilola Fatoyinbo, NASA GSFC, Biospheric Science, Greenbelt, MD, United States
 
Demonstration of the Suitability of Commercial High Spatial and Temporal Resolution PlanetScope Imagery for Burned Area Mapping (1119762)
Haiyan Huang, Michigan State University, Center for global change and earth observations, East Lansing, MI, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States, Lin Yan, Michigan State University, Center for Global Change and Earth Observations, East Lansing, MI, United States, Vitor Martins, Mississippi State University, Department of Agricultural and Biological Engineering, Oktibbeha, Mississippi, United States and Luigi Boschetti, University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, United States
 
Enhanced wetland vegetation mapping via smallsat detection of phenological cycles (1122465)
Lucas Fromm1, Laurence C Smith2, Ethan D. Kyzivat2 and Nimisha Wagle3, (1)Brown University, Providence, RI, United States, (2)Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, RI, United States, (3)Brown University, Department of Earth Environment and Planetary Sciences, Providence, RI, United States
 
Mapping Winegrape Disease Epidemics with SkySat and PlanetScope Imagery (1124006)
Kathleen Kanaley1, Angela Paul1, David Combs1, Ertai Liu2, Yu Jiang2 and Kaitlin Gold3, (1)Cornell University, Cornell Agritech, Plant Pathology Section, Geneva, NY, United States, (2)Cornell University, Cornell Agritech, Horticulture Section, Geneva, NY, United States, (3)Cornell University, Cornell Agritech, Plant Pathology and Plant-Microbe Biology, Geneva, NY, United States
 
Utility of Daily (3 m) Planet Fusion Surface Reflectance Data for Tillage Mapping Using Deep Learning (1126497)
Dong Luo, South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, Hankui Zhang, South Dakotat State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States and Rasmus Houborg, Planet Labs, San Francisco, United States
 
Training Strategies of CNN for Land Cover Mapping with High Resolution Multi-spectral Imagery in Senegal (1127400)
Minh Tri Tri Le1, Konrad J Wessels2, Jordan Caraballo-Vega3, Nathan Marc Thomas4, Margaret Wooten5, Mark Carroll3 and Christopher S R Neigh6, (1)George Mason University Fairfax, Fairfax, United States, (2)George Mason University Fairfax, Geography and Geoinformation Science, Fairfax, VA, United States, (3)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, (4)University of Maryland, College Park, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
 
Assessing the flow variability of headwater streams in High Mountain Asia using satellite remote sensing (1130276)
Jonathan Acero Flores1, Colin J Gleason1, Craig Byron Brinkerhoff1, Dongmei Feng2 and Merritt Harlan3, (1)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (2)University of Cincinnati, Cincinnati, United States, (3)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States
 
Monitoring Spring Leaf Phenology of Individual Trees in a Temperate Forest Fragment with Multi-scale Satellite Time Series (1137983)
Yilun Zhao1, Chunyuan Diao1, Carol K Augspurger2 and Zijun Yang1, (1)University of Illinois at Urbana-Champaign, Department of Geography & Geographic Information Science, Urbana, United States, (2)University of Illinois at Urbana-Champaign, School of Integrative Biology, Urbana, United States
 
Improving the Mapping and Monitoring of Dynamic Great Lakes Coastal Wetland System Through High Resolution Commercial Smallsat Data (1149248)
Dorthea J Vander Bilt, Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, Mary Ellen Miller, Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, MI, United States and Vanessa E Barber, Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States
 
Cycle Slip Mitigation for Total Electron Content Retrieval using GeoOptics Radio Occultation Data (1149716)
Jaehee Chang1, Hyeyeon Chang2 and Jiyun Lee1, (1)KAIST Korea Advanced Institute of Science and Technology, Daejeon, South Korea, (2)KAIST Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (South)
 
An ensemble of Convolutional Neural Networks for Land Use Land Cover Classification in the Amhara Region of Northwest Ethiopia using Very High-Resolution Commercial Satellite Imageries (1154690)
Woubet G. Alemu, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Jordan Caraballo-Vega, NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, Margaret Wooten, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Ejigu Muluken, Amhara Region Bureau of Agriculture and Rural Development, Agricultural Growth Program, Bahir Dar, Ethiopia
 
Mapping Hydrological Connections in the Great Lakes to identify Coastal Wetlands and Monitor Change with High Resolution Commercial Smallsat Data (1155687)
Mary Ellen Miller1, Dorthea J Vander Bilt2, Laura L Bourgeau-Chavez2, Vanessa E Barber3 and Michael Battaglia2, (1)Michigan Technological University, Michigan Technology Research Institute, Houghton, MI, United States, (2)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (3)Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States
 
FloodPlanet: High-Resolution Commercial Imagery for Training and Validation of Deep Learning-Based Models of Inundation Extent (1158320)
Alexander Melancon1, Jonathan Giezendanner2, Zhijie Zhang2, Rohit Mukherjee2, Iksha Gurung1, Beth Tellman3 and Andrew Molthan4, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Arizona, School of Geography, Development and Environment, Tucson, United States, (3)University of Arizona, Tucson, United States, (4)NASA Marshall Space Flight Center, Huntsville, AL, United States
 
An Adaptive Spatiotemporal Approach for Monitoring Change At Scale with Planet Imagery (1163782)
Owen Smith, North Carolina State University, Center for Geospatial Analytics, Raleigh, United States and Joshua Gray, North Carolina State University, Center for Geospatial Analytics, Raleigh, NC, United States
 
Multi-region, Cross-Sensor Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels (1164879)
Hannah Rae Kerner, University of Maryland College Park, Geographical Sciences, College Park, MD, United States, Saketh Sundar, NASA Harvest, College Park, United States and Yuval Sadeh, Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia
 
Multi-scale mapping of river and lake ice conditions using multi-source satellite observations over Alaska (1182066)
Jinyang Du, University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States and Peter B. Kirchner, National Park Service, Southwest Alaska Network, Anchorage, United States
 
Tropical Impact crater diameters elaborated with PlanetScope stereo retrievals and ICESat-2 data tracks (1186938)
Compton J Tucker, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Automatic Object Detection with Capella Space VHR SAR Imagery (1186942)
Chloe Hampton, Capella Space, Louisville, United States and Jake Shermeyer, Capella Space, Baltimore, United States
 
Sub-meter commercial satellite data for semi-arid tree carbon restoration (1187472)
Compton J Tucker, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Knowledge-Informed Machine Learning for Real-time Flood Mapping with High-Resolution PlanetScope Imagery (1189275)
Bo Peng, Organization Not Listed, Palo Alto, United States and Qunying Huang, University of Wisconsin, Madison, Department of Geography, Madison, United States; University of Wisconsin Madison, Geography, Madison, United States
 
Unsupervised Wildfire Change Detection based on Auto-Encoders and Contrastive Learning (1196073)
Beichen Zhang1, Vit Ruzicka2, Amani Alabri3, Huiqi Wang4, Karol Bot Gonçalves5, Cole McCall6, Carter Katzenberger6 and Dale Hamilton6, (1)University of Nebraska-Lincoln, School of Natural Resources, Lincoln, United States, (2)Oxford University, Oxford, United Kingdom, (3)Boston University, Boston, MA, United States, (4)University of California Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA, United States, (5)Instituto Superior de Agronomia, Lisboa, Portugal, (6)Northwest Nazarene University, Nampa, United States
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