ABSTRACT Habitats worldwide are susceptible to the advancing human activities in the landscape along with the climate changing conditions. Mitigation actions can only succeed through multidisciplinary approaches. As such, BIO_SOS’s (FP7 on-going project) EODHaM (Earth Observation Data for Habitat Monitoring) system is an inductive-learning (i.e., knowledge based) classification system that is able to integrate remotely sensed data from a satellite sensor and on-site acquired ecology data to derive LC/LU and habitat maps. Landscape pattern methods are utilized to access biodiversity, recognize pressures, examine their impact on habitats and extract the potential trend as a warning signal to the disposal of conservation managers. EODHaM is modularly developed and remains flexible to integrate alternative site specific configurations for processing steps (including site specific ancillary data). Its functionality is being tested on seven European, Asian, and Latin America sites. Special attention is given to a) operate at fine spatial scales (1:5,000 or finer) where habitats ought to be represented, b) be user-friendly, efficient and reliable, c) be sensitive to changes in the input datasets and the user-defined parameters, d) minimize the time between data acquisition and product delivery, and e) minimize the involved costs (e.g., by reducing manpower, exploiting open source software solutions, etc.).
ABSTRACT The EU flagship programme Copernicus was conceived to establish an independent European capability for Earth Observation from space and moreover to put into place a set of thematic operational services to support policy makers, public authorities and commercial businesses in a wide variety of applications for which sustained, accurate and timely Earth Observation data are critical inputs. However, in today’s climate of continued and widespread financial challenges, it is the potential for Copernicus to stimulate growth and to create jobs that has recently come into sharp focus. In recognition of this, several studies have been commissioned by the EU to analyse these potential benefits and to identify the enabling factors that are pre-requisites for such benefits to be realised. Central to these enabling factors is a Data and Information Policy that encourages investment by downstream actors. Such key objectives should be achieved through a Data and Information Policy providing free, full and open access to all users. This policy would allow all interested parties to tap into the wealth of information provided by the Copernicus programme and further enrich it with their own data and skills to maximise the environmental, social and economic benefit of the programme.
Bio Hans van 't Woud (1983) born in Leiden, the Netherlands, studied Human Centered Multimedia at the University of Amsterdam where he was awarded his MSc degree regarding his research now known as "The Mars Crowdsourcing Experiment". Before this he graduated for his Bachelor at the Rotterdam University, partly the Willem de Kooning Academy of Arts, for the education Communication and Multimedia Design. After this he worked a period as product manager for a company involving health care software. Nowadays he is full time entrepreneur for his company, BlackShore, where he is taking crowdsourcing to the next level with his Cerberus. For this he is collaborating closely and participated with success in the ESA business incubation centre in the Netherlands. Worth mentioning Hans van 't Woud, with Cerberus, is the GMES master 2012 overall winner and the winner of the European Space Imaging High-Res challenge. ABSTRACT Cerberus, the GMES Master 2012 and European Space Imaging High-Res challenge winner, quickly and thoroughly analyses optical satellite data by using real participants as “sensors”. Cerberus is a crowdsourcing platform where we involve people in the creation of maps. The supplied mapping tool provided to the crowd is a so called “serious game” where e-learning and motivation are essential aspects. On satellite photographs, participants can mark where they see for example cracks in ice, damaged power cables, areas of drought or even lost pyramids. Cerberus is able to handle multiple sources of space-based remote sensing data and thus mapping in a variety of work areas. Participant output is translated into map layers to be used, after verification, by governments or interested parties. Originally developed to help NASA help map the surface of Mars, Cerberus is now being advanced to serve a variety of remote-sensing tasks involving Earth (e.g. situation assessment following natural disasters). Blackshore’s business model involves a Facebook gaming environment hoping on viral interest. Participants will be able to pay for upgrades and new tools. But in the event of a disaster like Hurricane Sandy, for example, the money people optionally pay in game through micro transactions to boost the play experience and then can be directed toward the disaster victims, so users contribute financially as well as with their input.Further down the line the generated maps will be real time supplied as a service and are sharable within any type of GIS application supported by our own WMS system.
The geohazard information (a ground stability data-layer and accompanying interpretation) is served in a standard format by the 27 EU national Geological Surveys. These products are compiled from integrations of:
At the conference, project results for the cities of Amsterdam and Rotterdam will be presented.