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Advanced Data Chain Technologies for the Next Generation of Earth Observation Satellites Supporting On-Board Processing for Rapid Civil Alerts

Kerr, Murray and Fiengo, Aniello and Bravo, Juan-Ignacio and Hinz, Robert and Membibre, Francisco and Latorre, Antonio and Breit, Helko and Wiehle, Stefan and Günzel, Dominik and Mandapati, Srikantha and Balss, Ulrich and Koudelka, Otto and Teschl, Franz and Magli, Enrico and Bianchi, Tiziano and Martina, Maurizio and Freddi, Riccardo and Benetti, Michele and Curci, Guido and Milani, Fabio and Marcos, Cecilia (2020) Advanced Data Chain Technologies for the Next Generation of Earth Observation Satellites Supporting On-Board Processing for Rapid Civil Alerts. In: 71th International Astronautical Congress, IAC 2020. IAC 2020, 12. -14. Okt. 2020, virtuell.

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Official URL: https://dl.iafastro.directory/event/IAC-2020/paper/58432/

Abstract

The growing number of planned Earth Observation (EO) satellites, together with the increase in payload resolution and swath, brings to the fore the generation of unprecedented volumes of data that needs to be downloaded, processed and distributed with low latency. This creates a severe bottleneck problem, which overloads ground infrastructure, communications to ground, and hampers the provision of EO products to the End User with the required performances. The EO-ALERT project (http://eo-alert-h2020.eu/), an H2020 European Union research activity, proposes the definition of {\bf next-generation EO missions} by developing an {\bf on-board high speed EO data processing chain} tailored for {\bf Optical} and {\bf SAR} payloads, based on a novel flight segment architecture that moves optimised key EO data processing elements from the ground segment to on-board the satellite. EO-ALERT achieves, globally, latencies {\bf below five minutes} for EO products delivery, reaching latencies {\bf below 1 minute} in some scenarios. The proposed architecture solves the above challenges through a combination of innovations in the on-board elements of the data chain and the communications link. Namely, the architecture introduces innovative technological solutions, including on-board {\bf reconfigurable data handling}, on-board {\bf image generation} and {\bf processing} for generation of alerts (EO products) using {\bf Artificial Intelligence (AI)}, {\bf high-speed on-board avionics}, on-board {\bf data compression and encryption using AI} and {\bf reconfigurable high data rate communication} links to ground including a separate chain for alerts with minimum latency and global coverage. Those key technologies have been studied, developed, implemented in software/hardware (SW/HW) and verified against previously established technologies requirements to meet the identified user needs. The paper presents the development of the innovative solutions defined during the project for each of the above mentioned technological areas and the results of the testing campaign of the individual SW/HW implementations within the context of two operational scenarios: {\bf ship detection} and {\bf extreme weather observation} (nowcasting), both requiring high responsiveness to events to reduce the response time to few hours, or even to minutes, after an emergency situation arises. The technologies have been experimentally evaluated during the project using relevant EO historical sensor data. The results demonstrate the maturity of the technologies, reaching TRL 4-5. Generally, the results show that, when implemented using COTS components and available communication links, the proposed architecture can generate alerts with a {\bf latency lower than five minutes}, demonstrating the viability of the EO-ALERT concept. The paper also discusses the implementation on an Avionic Test Bench (ATB) for the validation of the integrated technologies chain.

Item URL in elib:https://elib.dlr.de/137681/
Document Type:Conference or Workshop Item (Speech)
Title:Advanced Data Chain Technologies for the Next Generation of Earth Observation Satellites Supporting On-Board Processing for Rapid Civil Alerts
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kerr, Murraymurray.kerr (at) deimos-space.comUNSPECIFIED
Fiengo, Anielloaniello.fiengo (at) deimos-space.comUNSPECIFIED
Bravo, Juan-Ignaciojuan-ignacio.bravo (at) deimos-space.comUNSPECIFIED
Hinz, Robertrobert.hinz (at) deimos-space.comUNSPECIFIED
Membibre, Franciscofrancisco.membibre (at) deimos-space.comUNSPECIFIED
Latorre, Antonioantonio.latorre (at) deimos-space.comUNSPECIFIED
Breit, Helkohelko.breit (at) dlr.dehttps://orcid.org/0000-0001-7865-3288
Wiehle, StefanStefan.Wiehle (at) dlr.dehttps://orcid.org/0000-0003-1476-6261
Günzel, DominikDominik.Guenzel (at) dlr.dehttps://orcid.org/0000-0002-8881-9867
Mandapati, SrikanthaSrikantha.Mandapati (at) dlr.deUNSPECIFIED
Balss, UlrichUlrich.Balss (at) dlr.deUNSPECIFIED
Koudelka, Ottokoudelka (at) tugraz.atUNSPECIFIED
Teschl, Franzfranz.teschl (at) tugraz.atUNSPECIFIED
Magli, Enricoenrico.magli (at) polito.itUNSPECIFIED
Bianchi, Tizianotiziano.bianchi (at) polito.itUNSPECIFIED
Martina, Mauriziomaurizio.martina (at) polito.itUNSPECIFIED
Freddi, Riccardorfreddi (at) cgspace.itUNSPECIFIED
Benetti, Michelembenetti.ext (at) cgspace.itUNSPECIFIED
Curci, Guidogcurci.ext (at) cgspace.itUNSPECIFIED
Milani, Fabiofmilani.ext (at) cgspace.itUNSPECIFIED
Marcos, Ceciliacmarcosm (at) aemet.esUNSPECIFIED
Date:October 2020
Journal or Publication Title:71th International Astronautical Congress, IAC 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Synthetic Aperture Radar, SAR, FPGA, onboard processing, ship detection, civil alert, earth observation
Event Title:IAC 2020
Event Location:virtuell
Event Type:international Conference
Event Dates:12. -14. Okt. 2020
Organizer:International Astronautical Federation (IAF)
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 - SAR methods
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Breit, Helko
Deposited On:23 Nov 2020 09:32
Last Modified:24 Nov 2020 15:28

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