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Environmental Monitoring 2.0. Sebastian Michel Ecole Polytechnique Fédérale de Lausanne (EPFL) Switzerland. The Swiss Experiment. Objectives understanding implications of environmental change from local to regional scales data access for users from academia to general public. Approach

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Environmental Monitoring 2.0

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Environmental monitoring 2 0 l.jpg

Environmental Monitoring 2.0

Sebastian Michel

Ecole Polytechnique Fédérale de Lausanne (EPFL)

Switzerland


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The Swiss Experiment

  • Objectives

    • understanding implications of environmental change from local to regional scales

    • data access for users from academia to general public

  • Approach

    • develop novel wireless sensor networks and sensors

    • design an integrated data and meta-data infrastructure

  • Extraordinary

    • Scale: variety of experiments and instruments

    • Coverage: experiments in multiple locations and widespread sensor networks across the alps

    • Team: research, industry, community, stakeholders


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Data logging

Data

Metadata

Models

Visualization

Ad-hoc file-based

Email, desktop, …

Science Workflow

Running

experiments

Factors limiting scientific progress:

Limited data and metadata sharing and reuse

Limited real-time data access

Limited data accessibility and visualization

Planning

experiments

Analysis, Models

Knowledge


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Application Scenarios of SensorMap

Data Analysis

  • Deployment Monitoring

Experiment Planning

To view sensor layout and visualize measurements in real-time to decide the placement of sensors

To inspect real-time output of sensors, and to discover and fix broken sensors

To visualize dependencies among different measurements and correlations with topological terrains


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Advanced Plots


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Towards Environmental Monitoring 2.0

  • (Near) Future

Previous State

  • Lack of communication

  • Information Sharing in online communities

  • Data repository with single access point

  • Randomly distributed data files

  • No data loss

  • Data loss

  • Provenance tracking

  • Loss of knowledge on data collection

  • Data reuse

  • Waste of resources replicating data collection

  • Open access

  • Small user community


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