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Oct-24-07US France Workshop On Environment and and Sensor Nets Environment and Sensor Networks Workshop US France Young Engineering Scientists Symposium 22-24 Oct 2007
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Oct-24-07US France Workshop On Environment and and Sensor Nets From Case Studies to Research Themes Animal Behavior Spatial Variability of Net Primary Productivity Aquatic Systems
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Oct-24-07US France Workshop On Environment and and Sensor Nets Animal Behavior Collar systems for, e.g., badgers 3D accelerometers for dead reckoning Adaptive/intelligent sampling Passive systems (e.g., RFID) for data collection Measurement of interaction Measurement of physiological processes, e.g., heart rate Measurement of environmental conditions
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Oct-24-07US France Workshop On Environment and and Sensor Nets Spatial Variation in Terrestrial Net Primary Productivity High density spatial sampling Example system: flux tower site Measurement of light, soil moisture, relative humidity, temperature Sampling frequency/interval scales from 20 Hz to 30 seconds depending on variable
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Oct-24-07US France Workshop On Environment and and Sensor Nets Aquatic Systems - Physical Structure of the Environment and Net Primary Productivity Continuous monitoring of phy-bio variables over depth 1 sample/hour real-time data at desktop video (microorganisms) seasonal scales
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Oct-24-07US France Workshop On Environment and and Sensor Nets Research Ideas/Themes Animal Behavior –Nutrient cycling –Spatial heterogeneity –Dynamic network topology, energy-constrained, remote –GPS/inertial fusion, advanced sampling and feature analysis Spatial Variability of Net Primary Productivity –Eddy flux tower footprint –Plant growth/demography –Adaptive sampling; capability for long-term monitoring Aquatic Systems –Plankton dynamics along gradients –Impact of coastal nutrient loading –Optimized seasonal sampling –Remote, high data-rate systems
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Oct-24-07US France Workshop On Environment and and Sensor Nets Unifying Issues/Themes Identify research bridges between groups (animal behaviour, Spatial Variability of Net Primary Productivity) Lack of mechanisms for information exchange between disciplines – Develop information sources on IT capabilities in environmental sensing Need for testbeds and real-wolrd datasets Data management/standards –Promote research across experiments and scales
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