Drifter Sensor Network for Environmental Monitoring

Daniel Boydstun, Matthew Farich, John McCarthy III, Silas Rubinson, Zachary Smith, Ioannis Rekleitis
2015 2015 12th Conference on Computer and Robot Vision  
Successful conservation strategies require frequent observations and assessments of the landscape. Although expert surveys provide a great level of detail, the trade-off is the limited spatial coverage and repetition with which they are executed. Remote sensing technology can partially resolve these issues; nevertheless, it still requires experts' experience to create conservation planning and reaction options. Nature 4.0 seeks to address these shortcomings by developing a prototype of a
more » ... ototype of a modular environmental monitoring system for high-resolution observation of species, habitats, and processes. The project combines expert surveys by nature conservationists, remote sensing, and a network of environmental sensors, which are integrated into stationary units as well as attached to unmanned aerial vehicles, rovers, or animals. By utilizing powerful data integration and analysis methods, Nature 4.0 will enable researchers to effectively observe ‡
doi:10.1109/crv.2015.10 dblp:conf/crv/BoydstunFMRSR15 fatcat:rdlzncgednafng4dbmz54bdatu