March 2026

Conference Paper

Preparing an on-Demand Cloud Processing Workflow for NISAR Ecosystems Science Products

By:
Christensen, Alexandra; Siqueria, Paul; Chapman, Bruce; Kellndorfer, Josef; Mcdonald, Kyle P; Saatchi, Sassan; Cushman, Katherine ; Downs, Brandi; Parra, Adriana; Ramachandran, Naveen
Page Number:
6635-6637
Book Title:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Publication Date:
March 12, 2026
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference Location:
Athens, Greece
Conference Sponsor:
Institute of Electrical and Electronics Engineers
View DOI Listing:
https://doi.org/10.1109/IGARSS53475.2024.10641670

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.


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