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Measurements of environmental parameters for the validation of remote sensing data in DEMMIN are based on the measurements of stationary environmental monitoring stations. In addition to this network, these data are supplemented by in-situ campaigns to obtain plant and soil parameters for calibration and validation of the remote sensing data. The paper provides a status update for the German JECAM test site DEMMIN / TERENO-NO.

Presentation of new Projects of DLR Neustrelitz and their resulting requirements for archiving of large data massive

The FireBIRD mission has been designed to detect and monitor dynamic high temperature events, such as wild fires or volcano eruptions. In order to provide calibrated and geo-referenced data in near real time to users, a ground processing system is going to be established and deployed in the downstream chain in the national ground segment in Neustrelitz. The ground processing system consists of the Payload System Management (PSM) and one or more Instrument Processing Facility (IPFs). Due to the experimental nature of small satellite missions the components of the ground system have been often specific solutions. The design of the FireBIRD ground segment uses a modular design with separate control and payload data interfaces. For data interfaces abstract data descriptions are used in order to achieve a mission independent design to a large extend. A design constraint is to separate processing control components from data processing components as far as possible. The goal is to achieve extendibility and reusability of the processing components as well as portability of the IPF to other systems and migration for future missions.

The German Aerospace Center DLR – namely the Applied Remote Sensing Cluster CAF and the German Space Operations Center GSOC – is responsible for the establishment of the ground segment of the future German hyper-spectral satellite mission EnMAP (Environmental Mapping and Analysis Program- http://www.enmap.org, planned launch 2014). The Applied Remote Sensing Cluster has not only a long standing experiences with air- and spaceborne processing and analysis of hyper-spectral image data but also with building and operation of payload ground segments for a multitude of missions. This paper gives an overview of the mission and its elements. It mainly deals with the operational and automatic chain from reception via processing to delivery.

Der Beitrag beschreibt die Entwicklung des GMES "Near Real Time" Ship-Detection Service am DLR Standort Neustrelitz, sowie die Einbindung in das Projekt European Maritime Security Service MARISS.

General conditions of remote sensing: In the next few years, there will be a lot of advanced remote sensing systems availablefor Earth observation. The data collected with help of these systems will be used in the context of GMES. But the analysis of the situation of remote sensing shows that different problems for the data provider and the data users are relevant. The papaer dicusses the problems and possibilities for overcomming some of the identified problems. For this background, the development of DEMMIN as a test site for calibrating and validating remote sensing missions, sensors, data, and value added products (information products) is shown.

One of the main research objectives of the working group Thematic Processors and Validation (TPV) of the Remote Sensing Data Centre (DLR-DFD) is the automation of remote sensing data processing. Whereby, the focal point of research is the derivation of value-added products for agriculture and forestry objectives. Three examples are given to outline past and present research of working group. These are: (1) a standard processor for automated data usability assessment based on multispectral quicklook data; (2) a thematic processor for retrieval of actual evapotranspiration from multispectral image data; and (3) an ongoing research work for the conception of a thematic processor for derivation of soil parameters from hyperspectral image data. Since 1999 DLR Neustrelitz operates the test site DEMMIN (Durable Environmental Multidisciplinary Monitoring Information Network) to assure validation and calibration of data products and algorithms. DEMMIN is an intensively used agricultural ecosystem located in the northeast of Germany and is based on a cooperation between local farmers (IG Demmin) and DLR. It provides a manifold of instrumentation for the measurement of environmental parameters which are stored in the DEMMIN database.