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Bad Münster am Stein-Ebernburg, Germany

Muller S.,Leibniz University of Hanover | Heipke C.,Leibniz University of Hanover | Pakzad K.,EFTAS Fernerkundung Technologietransfer GmbH
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2010

It is well known that there is a growing need for consistent and up-to-date GIS-data at various scales for administrative and regulatory applications. Especially farmland classes are of high interest in this context. A new automatic method for the classification of crops is described. The method is based on sequences of digital aerial orthophotos with a ground sampling distance of 0.17m. The applied image sequence consists of twelve images of the same region within one vegetation period. Expert knowledge about the crops together with extracted features leads to temporal models for each crop. The temporal change of the features along with a changing relevance of a feature is considered. The temporal models are applied during classification that is based on a weighting function. The approach is tested on a test site of about 700ha and achieves correct classification rates better than 90%.

Muller S.,Leibniz University of Hanover | Muller S.,EFTAS Fernerkundung Technologietransfer GmbH | Buscher O.,EFTAS Fernerkundung Technologietransfer GmbH | Jandewerth M.,Fraunhofer Institute for Environmental, Safety and Energy Technology
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2013

On the way to make energy supply independent from fossil resources more and more renewable energy sources have to be explored. Biomass has become an important energy resource during the last years and the consumption is rising steadily. Common sources of biomass are agricultural production and forestry but the production of these sources is stagnating due to limited space. To explore new sources of biomass like in the field of landscape conservation the location and available amount of biomass is unknown. Normally, there are no reliable data sources to give information about the objects of interest such as hedges, vegetation along streets, railways and rivers, field margins and ruderal sites. There is a great demand for an inventory of these biomass sources which could be answered by applying remote sensing technology. As biomass objects considered here are sometimes only a few meters wide, spectral unmixing is applied to separate different material mixtures reflected in one image pixel. The spectral images are assumed to have a spatial resolution of 5-20m with multispectral or hyperspectral band configurations. Combining the identified material part fractions with height information and GIS data afterwards will give estimates about the location of biomass objects. The method is applied to test data of a Sentinel-2 simulation and the results are evaluated visually.

Haub C.,EFTAS Fernerkundung Technologietransfer GmbH | Quilitz K.,EFTAS Fernerkundung Technologietransfer GmbH | Lindemann D.,EFTAS Fernerkundung Technologietransfer GmbH | Leskinen E.,EFTAS Fernerkundung Technologietransfer GmbH
Photogrammetrie, Fernerkundung, Geoinformation | Year: 2013

Summary: Observing and monitoring of European landscape dynamics has moved a big step forward. Just recently preliminary results from a 2012 field survey on land cover and land use within the framework of LUCAS have been published by Eurostat covering all 27 European Union (EU) member states. Eurostat is the statistical office of the EU and responsible for providing precise statistics at EU scale. After more than a decade of development, Eurostat has achieved a consolidated approach through the "Land Use/Cover Area frame statistical Survey - LUCAS". It focusses on the current status, and - in combination with the previous LUCAS survey in 2009 - became an instrument to extract land use and land cover change dynamics in Europe with statistical precision for the first time. LUCAS is a stratified area frame survey on the basis of a regular point grid covering the whole European Union and has become an operational Eurostat standard to provide geostatistic information. It was initiated as a pilot in 2000 and evolved since then through various test surveys in different European member states and by a number of scientific studies. Since 2009 it is running operationally and was executed in 2012 covering for the first time all EU27 member states. Next to the methodical summary this paper aims to report about the successful implementation of the official estimation framework for land use and land cover data in Europe and the availability of such a tremendous data source. Until recently this was not available at the given level of detail and precision. Area frame survey techniques and other means of landscape monitoring had been discussed since decades (Benedetti et al. 2010). The evolution of and decisions regarding LUCAS have been documented by various scientific papers. The reader is now invited to follow the references to the freely accessible documents including the technical specification. © 2013 E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, Germany.

Buck V.O.,EFTAS Fernerkundung Technologietransfer GmbH | Pereira C.,EFTAS Fernerkundung Technologietransfer GmbH | Grosse-Stoltenberg A.,University of Munster | Rakers J.,Naturschutzzentrum Kreis Coesfeld e.V. | And 3 more authors.
Naturschutz und Landschaftsplanung | Year: 2014

Natural Heritage as Adventure - Imparting nature conservation themes with the help of geoinformation technologies Geoinformatics are gaining increasing importance in the tourism sector. The rapid development of innovative hardware and software solutions has caused a shift from analogue and static information to highly dynamic data provision referring to the location of the user. For the combination of nature conservation and tourism the potentials of 'Location Based Services' (LBS) have not been fully exploited yet. The projects presented here combine environmental topics and routing tools for nature experience, with the aim to use modern geoinformation technologies to support a sustainable tourism access to the natural heritage protected under Natura 2000. In order to reach this aim nature topics are defined and related to each other via common elements. They are visualized in a thematic network and combined with round-trip routing algorithms. They are accessible via web portal or a respective smartphone application. The user can select and combine several natural topics of interest to setup optimized nature travel routes. The paper describes the concept of how to setup and link the natural heritage information and its technical implementation in a thematic network and routing application.

Haub C.,EFTAS Fernerkundung Technologietransfer GmbH | Kleinewillinghofer L.,EFTAS Fernerkundung Technologietransfer GmbH | Brockmann J.,EFTAS Fernerkundung Technologietransfer GmbH | Komp K.-U.,EFTAS Fernerkundung Technologietransfer GmbH | Gilliams S.,Flemish Institute for Technological Research
Photogrammetrie, Fernerkundung, Geoinformation | Year: 2013

Summary: Food security remains a raising challenge between poverty reduction and population growth worldwide but for us with direct concerns in Africa. The initiative of the European Space Agency (ESA) for a service element called Global Monitoring for Food Security (GMFS) is being designed to apply remote sensing and GIS services for food security purposes. Several African countries were addressed not only to use such specific information but to benefit from a transfer of technology and institutional strengthening. The paper provides as one of the first articles a comprehensive essay about the successful technology transfer of ESA GMFS services to selected government authorities. It particularly discusses the frame conditions of agriculture in Sudan and the corresponding GMFS services for Sudan. After a brief introduction of the applied methods a stronger focus shall be given on the operational results of this six years collaboration with the Federal Ministry of Agriculture and Irrigation of Sudan. There were a wide range of state-of-the-art techniques involved, such as the combined use of medium and high resolution remote sensing data, the integration of optical and radar data as well as the incorporation of agronomic ground sampling. The full documentation of the technological developments goes beyond this paper, but is freely available via the cited references and at www.gmfs.info. Until today documentations which are covering the entire process from scientific developments to the successful implementation at beneficiary institutions are rarely available. Especially the combination of research and development work, professional training and the implementation of operational Earth Observation & Geographic Information System based services emphasizes not only the success of the project but furthermore may rise hope to contribute to the amelioration of the food security situation in Africa. © 2013 E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, Germany.

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