Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Agenda Overview |
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Forest applications with Harmonized Landsat and Sentinel-2 analysis ready data products I
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| Presentations | ||
In-person Oral Presentation
Harmonized Landsat and Sentinel-2 (HLS) Project Updates 1NASA Marshall Space Flight Center; 2NASA Goddard Space Flight Center; 3University of Alabama in Huntsville; 4NASA Goddard Space Flight Center; 5University of Maryland, College Park; 6Science Systems and Applications, Inc. In-person Oral Presentation
Global uncertainty assessment of vegetation indices from NASA's Harmonized Landsat and Sentinel-2 Project 1Science Systems and Applications, Inc (SSAI), contractor to NASA GSFC, Maryland, 20771, USA; 2NASA Goddard Space Flight Center, Maryland, 20771, USA; 3Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, 20740, USA; 4Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, 06269, USA; 5Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa, Honolulu, USA; 6Joint Center for Earth Systems Technology (JCET), University of Maryland, Baltimore County, Baltimore, MD 21228, USA; 7NASA Marshall Space Flight Center, Alabama, USA; 8University of Alabama in Huntsville, Huntsville, Alabama, 35899, USA; 9NASA Postdoctoral Program Fellow, Goddard Space Flight Center Greenbelt, MD 20771 In-person Oral Presentation
A Time-series-based Image Fusion Algorithm for Harmonizing Landsat and Sentinel-2 Data at 10 m 1University of Connecticut, USA; 2NASA Marshall Space Flight Center, Huntsville, AL, USA; 3Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA; 4Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA; 5Science Systems and Applications, Inc (SSAI), Lanham, MD, USA In-person Oral Presentation
Congo Basin forest monitoring applications with Harmonized Landsat Sentinel 2 data University of Maryland, United States of America | ||