Nationale Copernicus Data and Exploitation Platform im DLR - Sachstand und Schnittstelle zur GDI-DE und zum Deutschen Satellitendatenarchiv

Mit dem Copernicus-Programm tritt die Erdbeobachtung in Europa eine neue Ära ein. Sys-tematische, langjährig gesicherte satelliten-, flugzeug- und bodengestützte Beobachtungen mit unterschiedlichsten Sensoren, Datenmengen im zweistelligen Petabyte-Bereich, opera-tionelle Produkte und Dienstleistungen sowie hochleistungsfähige, integrierte über Europa verteilte Infrastrukturen stellen uns technisch-wissenschaftlich wie auch organisatorisch vor neue Herausforderungen. Auf der anderen Seite eröffnet Copernicus nie dagewesene Mög-lichkeiten unsere Umwelt im Detail zu beobachten, Phänomene zu verstehen und belastba-rere Aussagen zum Globalen Wandel zu formulieren. Durch eine nachhaltig gesicherte, kostenfreie Datenversorgung entstehen zudem Anreize für wirtschaftliche Wertschöpfung. In Deutschland erfolgt der zentrale Zugriff auf die Copernicus-Daten und -Dienste über die nationale Copernicus Daten- und Auswerte-Plattform CODE-DE. Unter Leitung des Deut-schen Zentrums für Luft- und Raumfahrt (DLR) baut ein Konsortium eine leistungsfähige Infrastruktur auf – integriert in die Geodateninfrastruktur Deutschland (GDI-DE) und das Geodatenportal.DE. Durch seine Anbindung an das deutsche Satellitendatenarchiv (D SDA) im DLR bietet CODE-DE zudem Zugriff auf umfangreiche, weit über Copernicus hinausgehende Fernerkundungsdatenbestände

The German Copernicus Data and Exploitation platform "CODE-DE" - online data access and big data processing

Copernicus establishes an operational European Earth Observation capacity. Data from multiple sources - first and foremost the Sentinel satellite systems - feed services and provide users with reliable and up-to-date information regarding environmental and security issues. The main Sentinel Internet based data access infrastructure is implemented by ESA. In addition, several Copernicus Participating States established national "collaborative ground segments", aiming at the additional use and distribution of Copernicus datasets focusing on their national demand. Next to that the "Copernicus Data and Information Access Services" (C-DIAS) have recently been set up (Summer 2018). The five different C-DIAS platforms are contracted by ESA and EUMETSAT in the framework of a European Commission initiative. The German Copernicus Data and Exploitation Platform (CODE-DE) is an infrastructure for data access (Sentinel data, products from the Copernicus Services and national data), on-demand processing and value-added product generation. The user-friendly online data access has been operational since March 2017 and is tapped by over 1.200 registered users (August 2018), which have downloaded around 100.000 products in that timeframe. The catalogue client provides an enhanced solution to discover, view, and download available products including time, spatial and additional filters, e.g., polarization mode or cloud cover. It features a browsing to display Sentinel-2 products in full 10 m spatial resolution. In addition other satellite data (e.g. science data from our national missions) are also integrated into the portal. An on-demand processing environment for high-performance cloud processing has been operational since November 2017. The algorithms currently available are mainly those of the Sentinel tool boxes (SNAP) such as generic band math or dedicated time series algorithms. Furthermore, the results are optionally mosaicked to cover larger areas or a larger period. The capacity of the processing environment has been continuously exploited since March 2018 by selected applications, e.g. in the agricultural, maritime or snow and ice context, based on dedicated Virtual Machines (VM) using "docker". This flexible processing approach supports different use cases - allowing developers, processing experts and data experts to work on the platform in support of their own processing scenarios

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

For mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quantity, operational applications are still limited by deficits of in situ verification. In situ sampling data as input is required in order to add value to physical imaging remote sensing observations and possibilities to interlink the forest health assessment with biotic and abiotic factors. Numerous methods on how to link remote sensing and in situ data have been presented in the scientific literature using e.g. empirical and physical-based models. In situ data differs in type, quality and quantity between case studies. The irregular subsets of in situ data availability limit the exploitation of available satellite remote sensing data. To achieve a broad implementation of satellite remote sensing data in forest monitoring and management, a standardization of in situ data, workflows and products is essential and necessary for user acceptance. The key focus of the review is a discussion of concept and is designed to bridge gaps of understanding between forestry and remote sensing science community. Methodological approaches for in situ/remote-sensing implementation are organized and evaluated with respect to qualifying for forest monitoring. Research gaps and recommendations for standardization of remote-sensing based products are discussed. Concluding the importance of outstanding organizational work to provide a legally accepted framework for new information products in forestry are highlighted

Insights into CODE-DE - Germany's Copernicus Data and Exploitation Platform

This article presents and analyses the modular architecture and capabilities of CODE-DE (Copernicus Data and Exploitation Platform - Deutschland, www.code-de.org), the integrated German operational environment for accessing and processing Copernicus data and products, as well as the methodology to establish and operate the system. Since March 2017, CODE-DE has been online with access to Sentinel-1 and Sentinel-2 data, to Sentinel-3 data shortly after this time, and since March 2019 with access to Sentinel-5P data. These products are available and accessed by 1,682 registered users as of March 2019. During this period 654,895 products were downloaded and a global catalogue was continuously updated, featuring a data volume of 814 TByte based on a rolling archive concept supported by a reload mechanism from a long-term archive. Since November 2017, the element for big data processing has been operational, where registered users can process and analyse data themselves specifically assisted by methods for value-added product generation. Utilizing 195,467 core and 696,406 memory hours, 982,948 products of different applications were fully automatically generated in the cloud environment and made available as of March 2019. Special features include an improved visualization of available Sentinel-2 products, which are presented within the catalogue client at full 10 m resolution