ADVANCED DATA CHAIN TECHNOLOGIES FOR THE NEXT GENERATION OF EARTH OBSERVATION SATELLITES SUPPORTING ON-BOARD PROCESSING FOR RAPID CIVIL ALERTS

ADVANCED DATA CHAIN TECHNOLOGIES FOR THE NEXT GENERATION OF EARTH OBSERVATION SATELLITES SUPPORTING ON-BOARD PROCESSING FOR RAPID CIVIL ALERTS

Author: Dr. Murray Kerr
Deimos Space SLU, Spain, murray.kerr@deimos-space.com
Mr. Juan Ignacio Bravo
Deimos Space SLU, Spain, juan-ignacio.bravo@deimos-space.com
Dr. Robert Hinz
Deimos Space SLU, Spain, robert.hinz@deimos-space.com
Mr. Francisco Membibre
Deimos Space SLU, Spain, francisco.membibre@deimos-space.com
Dr. Alexis Ramos
Deimos Space SLU, Spain, alexis.ramos@deimos-space.com
Mr. Alvaro Moron
Deimos Space SLU, Spain, alvaro.moron@deimos-space.com
Mr. Antonio Latorre
Deimos Space SLU, Spain, antonio.latorre@deimos-space.com
Mr. Helko Breit
DLR (German Aerospace Center), Germany, helko.breit@dlr.de
Dr. Stefan Wiehle
German Aerospace Center (DLR), Germany, stefan.wiehle@dlr.de
Mr. Dominik Gunzel
German Aerospace Center (DLR), Germany, Dominik.Guenzel@dlr.de
Prof. Otto Koudelka
Graz University of Technology (TU Graz), Austria, koudelka@tugraz.at
Dr. Franz Teschl
Graz University of Technology (TU Graz), Austria, franz.teschl@tugraz.at
Prof. Enrico Magli
Politecnico di Torino, Italy, enrico.magli@polito.it
Mr. Michele Caon
Politecnico di Torino, Italy, michele.caon@polito.it
Dr. Tiziano Bianchi
Politecnico di Torino, Italy, tiziano.bianchi@polito.it
Prof. Maurizio Martina
Politecnico di Torino, Italy, maurizio.martina@polito.it
Mr. Paolo Motto Ros
Politecnico di Torino, Italy, paolo.mottoros@polito.it
Mr. Riccardo Freddi
OHB Italia SpA, Italy, riccardo.freddi@ohb-italia.it
Mr. Fabio Milani
OHB Italia SpA, Italy, fmilani.ext@cgspace.it
Mr. Guido Curci
OHB Italia SpA, Italy, gcurci.ext@cgspace.it
Ms. Cecilia Marcos
Agencia Estatal de Meteorologa, Spain, cmarcosm@aemet.es

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 European H2020 EO-ALERT project (http://eo-alert-h2020.eu/), proposes the definition of next-generation EO missions by developing an on-board high speed EO data processing chain, 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 below five minutes for EO products delivery, reaching latencies 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 reconfigurable data handling, on-board image generation and processing for generation of alerts (EO products) using Artificial Intelligence (AI), high-speed on-board avionics, on-board data compression and encryption using AI and 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 an overview of 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: ship detection and extreme weather observation (nowcasting), both requiring a 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, having now reached TRL 4-5. Generally, the results show that, when implemented using COTS components and available communication links, the proposed architecture can generate and delivery globally EO products/alerts with a latency lower than five minutes, which demonstrates 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.