TY - GEN
T1 - Preparing an on-Demand Cloud Processing Workflow for NISAR Ecosystems Science Products
AU - Christensen, Alexandra
AU - Siqueira, Paul
AU - Chapman, Bruce
AU - Kellndorfer, Josef
AU - McDonald, Kyle
AU - Saatchi, Sassan
AU - Cushman, K. C.
AU - Downs, Brandi
AU - Parra, Adriana
AU - Ramachandran, Naveen
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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..
AB - 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..
KW - ALOS-2
KW - ATBD
KW - data processing
KW - Ecosystems
KW - NISAR
UR - http://www.scopus.com/inward/record.url?scp=85204884475&partnerID=8YFLogxK
U2 - 10.1109/IGARSS53475.2024.10641670
DO - 10.1109/IGARSS53475.2024.10641670
M3 - Conference contribution
AN - SCOPUS:85204884475
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6635
EP - 6637
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -