TY - JOUR
AU - 
AB - 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 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 © Friess N et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 2 Friess N et al landscapes through a set of diverse lenses. Time series data from the project will also inform the development of early warning indicators. Following 
TI - Introducing Nature 4.0: A sensor network for environmental monitoring in the Marburg Open Forest
JO - Biodiversity Information Science and Standards
DO - 10.3897/biss.3.36389
DA - 2019-06-18
UR - https://www.deepdyve.com/lp/unpaywall/introducing-nature-4-0-a-sensor-network-for-environmental-monitoring-q0OdSnkfOC
DP - DeepDyve
ER -