Abstract
In preparation for the NISAR launch and data collection in 2024, the NISAR Project Science Team is building workflows for each Science Team discipline (Ecosystems, Cryosphere, and Solid Earth). This abstract focuses on the Ecosystem disciplines and the development of on-demand cloud-processing workflows for wetlands inundation, forest biomass, agricultural active crop area, and forest disturbance. The workflow simulates NISAR data using UAVSAR or ALOS-2 Single Look Complex data, which are processed to Level 2 geocoded polarimetric covariance matrix products using InSAR Scientific Computing Environment 3.0 software and to Level 3 science products using the Algorithm Theoretical Basis Documents. In this presentation, we describe these workflows and efforts to improve efficiency and data accessibility by using a cloud processing system. We present preliminary sample products from each Ecosystem discipline: inundation, forest biomass, crop area, and forest disturbance..
| Original language | English |
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| Title of host publication | IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6635-6637 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798350360325 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece Duration: Jul 7 2024 → Jul 12 2024 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Conference
| Conference | 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 |
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| Country/Territory | Greece |
| City | Athens |
| Period | 07/7/24 → 07/12/24 |
Funding
This research was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. KCC was sponsored in part by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL). ORNL is managed by the University of Tennessee-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. The authors would like to thank the NISAR Project and Project Scientist, Paul Rosen, for the continued support and guidance.
Keywords
- ALOS-2
- ATBD
- Ecosystems
- NISAR
- data processing