As a technology platform, FERN.Lab connects scientific expertise in the field of remote sensing with social, ecologic and economic demands of our time. We support our partners in the method development for the analysis of remote sensing data.
FERN.Lab supports you with regards to a cost-efficientand highly accurate evaluation of earth observation data
FERN.Lab supports you in developing unique geoinformation products along the entire value chain
FERN.Lab defines itself as an open technology and innovation hub in the sector of geoinformation. We connect science and research with a broad network consisting of companies, authorities and NGOs. The mutual transdisciplinary information exchange sets the foundation for tailor-made remotesensing developments matching your requirements.
The Federal Minitry of Transport and Digital Infrastructure funded project SAR4Infra develops an automated process chain for the remote-sensing-based detection, assessment and observation of local transportation infrastructure hazards in the region of Schleswig-Holstein. FERN.Lab supports its project partners LVermGeo SH - State Office for Surveying and Geoinformation Schleswig-Holstein, LBV.SH - State Office for Road Construction and Transport Schleswig-Holstein and IPI - Leibniz University Hannover, in the process of operationalization.
Together with Dida Datenschmiede, FERN.Lab has been awarded the CropClass project for the recognition of arable crops such as wheat, rye, barley, rapeseed, corn, potato and sugar beet by the German Federal Ministry of Economics. The project starts with the aim to classify the crop type during the year and at an early stage based on satellite data from the European satellite system Sentinel using machine learning algorithms.
High-resolution information on precipitation events in Neubrandenburg is provided by FURUNO Germany's WR2120 ground weather radar. FERN.Lab is investigating the potential of the data for applications in agriculture.
FERN.Lab and the Heinz Sielmann Foundation start the development of a model for volume and biomass estimation of the shrub and herb layer of designated management areas. For this purpose, commercially available drone systems are used to generate high-resolution RGB images.
As part of the German Research Centre for Geosciences Potsdam (GFZ Potsdam), FERN.Lab accesses a broad and diversified pool of scientists in the field of geosciences and remote sensing to support, for example, application areas such as environmental monitoring, smart farming, resources exploration or infrastructure monitoring by applying various data sources and analysis methods. As technology platform, FERN.Lab connects scientific expertise with social, ecologic and economic demands of our time. We support our partners in the development of methods for the analysis of remote sensing data.
Acquisition of information with regards to short- and medium-term changes in the availability of natural resources
Acquisition of information with regards to the conditions and changes of (near-)natural and urban environments