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Stakeholders and User Stories



The Earth Observation Center (EOC) conducts research in the field of remote
sensing and seeks answers to urgent social questions relating to the environment and climate, mobility and planning, prevention and management of natural catastrophes, and civil security. The EOC operates satellite data receiving stations in Germany and abroad. In the German Satellite Data Archive (D-SDA) the EOC safeguards data and information products for the long term and makes them available to users.

As a Long-Term Archive (LTA) and (re)processing facility, the D-SDA has particular interest in improving the existing LTA interface to support bulk-retrieval and reload scenarios required by contemporary online data platforms. Furthermore D-SDA is interested in scalable ingestion workflows for registration of heterogeneous EO mission data in discovery and access services based on standardized interfaces.


EOC (UrbanGlobeCube)

The main interest of the EOC in LOOSE is to provide solutions for large-scale, scientific EO processing and time series analysis as an independent and sustainable service at EOC. Therefore the EOC stakeholder supports LOOSE with real-world use cases from the “Urbanization” background and is represented by a
research group named “Smart Cities and Spatial Development” from within the department of “Land Surface Dynamics“ of the DFD, that also leads the Urban Thematic Exploitation Platform (U-TEP) consortium.

The main challenge is to process long EO time series from Sentinel as well as Landsat to generate a temporal aggregated intermediate product called TimeScan. About 460000 Landsat scenes have be processed to generate the Landsat-8 TimeScan for one year. Further analytics of TimeScan lead to the “World Settlement Footprint (WSF)” mask, indicating built-up areas. Finally, the WSF Evolution product is created by combining masks from multiple years allowing multiannual time series analyses.


CAP Monitoring / Agriculture

In the context of the European Common Agricultural Policy (CAP), related subsidy claims require that certain agricultural practices can be monitored and verified, e.g. the presence/absence of mowing in grassland, or the occurrence of ploughing during a specific seasonal time window or the rapid growth of
vegetative cover during certain time period.

Other relevant management indicators include the detection of fallow periods (i.e. absence of activities) or the burning of stubbles following a harvest. Detection of these indicators typically involves parcel-level averaged time series profiles of vegetation indices, spectral band values, signal variability metrics, SAR
backscatter or coherence time series.

A processing & analytic workflow that performs claim eligibility checks for national/sub-national LPIS (Land Parcel Identification System) dataset of parcels. Eligibility checks shall perform an automated evaluation of subsidy claims and ascertain if certain land management process has occurred, e.g. ploughing, crop
development, harvesting, catch crop cover, all with respect to their country and crop/claim type specific reference periods.


SkyFISH & Coastal-TEP / Fishery & Aquaculture

Many communities around the Black Sea are depending on fishing for their livelihood. Locating and catching fish is always a challenging task. Earth Observation data can be used to identify Potential Fishing Zones (PFZ) allowing fishermen to work in a more efficient way. Satellite data can also offer solutions to
examine environmental issues, by measuring the most important parameters of the ecosystem that are highly related with distribution of marine resources. For the scope of the proposed use case, the area of interest to be considered is the western coastal region of the Black Sea (Romanian waters and part of
Ukrainian and Bulgarian zones).



Contributors to this page: meyerarnek .

Page last modified on Friday 29 of May 2020 16:47:10 CEST by meyerarnek.