DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Sentinel-1 Normalized Radar Backscatter processing on the High-Performance Data Platform terrabyte

Wendleder, Anna and Abele, Daniel and Huber, Martin and Wessel, Birgit and Kaiser, Dennis and Truckenbrodt, John and Friedl, Peter and Groth, Sandro and Fichtner, Florian and Eberle, Jonas (2023) Sentinel-1 Normalized Radar Backscatter processing on the High-Performance Data Platform terrabyte. IGARSS 2023, 2023-07-16 - 2023-07-21, Pasadena, USA.

Full text not available from this repository.


The rapid growth of satellite-based Earth Observation (EO) data is accompanied by growing challenges in continuous processing of global data sets into high-quality geoinformation. To support the analysis of EO data in the context of environmental and global change, it is essential not only to provide EO data, but also to process them into global decadal data sets and Analysis Ready Data (ARD). Therefore, the German Aerospace Center (DLR) and the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities are building up an innovative high-performance data analytics platform (HPDA), called terrabyte. In addition to the satellite data of the Copernicus program, United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA), derived ARD products are made available as well. The Sentinel-1 ARD product is provided as Normalized Radar Backscatter (NRB), compliant with the Committee on Earth Observation Satellites (CEOS) ARD (CARD) product family specifications (PFS). The processing of the Sentinel-1 NRB is performed by the Multi-SAR System, a pre-processing system for Synthetic Aperture Radar (SAR) data from various space missions (ERS-1/2, Envisat ASAR, RADARSAT-1/2, ALOS PALSAR-1/2, TerraSAR-X, and Sentinel-1) [2, 3]. The Multi-SAR System comprises ortho-rectification, Kennaugh decomposition, multi-looking, radiometric calibration, image enhancement using the multi-scale multi-looking (MSML) approach, and normalization based on a hyperbolic tangent function for the final lossless data compression. The system can be used for the processing of all Level-1 SAR data (focused, slant range, single-look, complex) independent of their geometric, radiometric, and polarimetric resolution. Its main benefit is the usage of the same workflow and similar parameter configuration file, independent of different SAR input data formats and interfaces. The processor is implemented at DLR’s German Remote Sensing Data Center (DFD). For the adaption of the NRB product to the CARD specification and the processing on the HPDA, the Multi-SAR System has been developed further. This concerns the radiometric terrain correction [4], the creation of mandatory output layers (e.g., the Gamma Naught Radiometric Terrain Corrected image, local contributing area mask) and the containerization of the software. For a first application, the adopted Multi-SAR Sentinel-1 NRB processor was integrated in the Sentinel-1-Based Water and Flood Monitoring processor (WFMP) [5] which is implemented and used operationally at the Center for Satellite Based Crisis Information (ZKI) at DLR. The WFMP is a near real time emergency mapping application, based on a convolutional neural network using Sentinel-1 amplitude data. The main advantage of the integration of Multi-SAR into the WFMP is the automatic and optimized data conversion from Sentinel-1 Ground Range Detected (GRD) images to a water and flood map in one processing chain. With the integration of this first application we want to gain experience in the operational processing on the platform and in performance optimization. In this presentation we describe the Sentinel-1 NRB processing workflow on the HPDA platform terrabyte, the challenges that have to be overcome in big data processing, as well as the processing steps and the CARD-compliant output layers of Multi-SAR. Furthermore, the adaptation of Multi-SAR to the WFMP will be presented. In order to investigate whether different NRB products lead to different results, the WFMP will be applied on NRBs generated by Multi-SAR and SNAP. To cover different topographical characteristics, a comparative study with globally distributed, quality checked Sentinel-1 datasets [6] will be carried out.

Item URL in elib:https://elib.dlr.de/196780/
Document Type:Conference or Workshop Item (Poster)
Title:Sentinel-1 Normalized Radar Backscatter processing on the High-Performance Data Platform terrabyte
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wendleder, AnnaUNSPECIFIEDhttps://orcid.org/0009-0005-1534-4732UNSPECIFIED
Abele, DanielUNSPECIFIEDhttps://orcid.org/0000-0001-7021-1573UNSPECIFIED
Huber, MartinUNSPECIFIEDhttps://orcid.org/0000-0003-2665-2149UNSPECIFIED
Wessel, BirgitUNSPECIFIEDhttps://orcid.org/0000-0002-8673-2485143022538
Truckenbrodt, JohnUNSPECIFIEDhttps://orcid.org/0000-0002-7259-101XUNSPECIFIED
Groth, SandroUNSPECIFIEDhttps://orcid.org/0000-0002-0499-9072UNSPECIFIED
Fichtner, FlorianUNSPECIFIEDhttps://orcid.org/0000-0003-2122-1163143022539
Date:July 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Sentinel-1, Analysis Ready Data, high-performance data analytics platform, terrabyte, Multi-SAR
Event Title:IGARSS 2023
Event Location:Pasadena, USA
Event Type:international Conference
Event Start Date:16 July 2023
Event End Date:21 July 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - HPDA use
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > International Ground Segment
Deposited By: Wendleder, Anna
Deposited On:26 Sep 2023 11:29
Last Modified:24 Apr 2024 20:57

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.