1. Eric GrahamNathan Yau Staff Ecologist, CENSGraduate Student, Department of Statistics Use CasesSensorBase Coupled Human-Observational Systems Technology Drivers Coupled Human-Observational Systems refers to interactions between experimenters and a wide range of observational resources. The process of drawing inferences about environmental phenomena feeds back to affect how observing systems operate. – ECHOS

2. By repeatedly deploying sensing systems in field experiments, we are finding that to answer many scientific questions, a tight collaboration between environmental researchers, computer scientists, and engineers is required. Technology Drivers

3. Use Case: La Selva Biological Station Sharp transitions from primary forest to open areas provide a means of understanding the ecological effects of rainforest fragmentation. What to measure? Where to measure? How to measure it? At what scale? At what frequency? At what resolution? Use Case: La Selva, Costa Rica

4. Use Case: La Selva Biological Station A rapidly deployable NIMS array can be used to characterize environmental conditions at multiple sites, frequencies, and resolutions. Use Case: La Selva, Costa Rica

5. Use Case: La Selva Biological Station “To understand NIMS, one must first become NIMS.” – Yeung Lam http://interactive.cens.ucla.edu/LaSelva/LaSelva1.html Use Case: La Selva, Costa Rica

6. Use Case: La Selva Biological Station Transect length determined scale, frequency, and resolution: Forest site complexity limited the length of a support cable. At what scale? At what frequency? At what resolution? Solution: Easily-manipulated file-base interface for customizing NIMS movements to the specific conditions of the site. Flexible, easy-to-use, easy-to-adapt. Use Case: La Selva, Costa Rica

7. Relative light Clearing Use Case: La Selva, Costa Rica

8. Clearing Use Case: La Selva, Costa Rica

9. Use Case: AMARSS, James Reserve Soil CO 2 fluxes occur at predictable soil moisture and temperature values, but become spatially and temporally complex depending on the local characteristics of the forest overstory. Use Case: AMARSS

10. Use Case: AMARSS, James Reserve Arrays of imagers, below- and above-ground fixed sensors, and above-ground actuated sensors are used as inputs to drive temporal flux models… which in turn refine the sensor locations and sampling frequency. AMARSS, James Reserve

11. Use Case: AMARSS, James Reserve Example of spatial and temporal complexity: All ten CO 2 nodes have a diurnal pattern, but each has a different maximum flux, peak time, and strength of pattern. AMARSS, James Reserve

12. Use Case: AMARSS, James Reserve Rain, soil water content, and temperature all affect soil CO 2 production. However, fungal rhizomorphs (captured from images) complicate the picture. AMARSS, James Reserve

13. Forest site complexity requires inputs from many types of sensors and a platform for the integration of data. At what scale? At what frequency? At what resolution? Solution: Continuous measurement streams from the microclimate, soil arrays, and imagers feed data archives: SensorBase. Standardized input to facilitate collaboration, and data sharing among researchers. AMARSS, James Reserve Use Case: AMARSS, James Reserve

14. Similar to blogging sites, SensorBase.org is a slogging site that allows users to log sensor data in a specified XML format. Blog user interfaces (e.g. Blogger, WordPress) are very user-friendly; users can publish, delete, and set permissions on entries with little effort. We wish to create a similar interface and backend for slogging. Blog entries can be categorized and RSS is generated on the fly for easy notification and syndication. SensorBase Overview SensorBase alpha

15. SensorBase User Interface Web interface for SensorBase: Search for data Slog data Create and manage projects http://sensorbase.org/alpha/

16. User Interface: Slog Data Users can slog CSV, XML, images, videos, and sound via the interface. Data can also be slogged program- matically. Once data is slogged, users can easily make their data available via the interface or SOAP. This allows easy data- sharing and makes it easy to build applications on top of SensorBase.

17. RSS Notifications When data is slogged to SensorBase, a user-defined RSS feed will be updated so that users can be updated with the status of a sensor or alerted when something is not right. Here we have an RSS feed updated with a plot and summary statistics produced by R.

18. User Interface: Find Data

19. Live Image Feeds

20. Once data becomes available in a centralized repository, we have quite a few options for analysis. Open for Interpretation

21. Future of SensorBase In the Works Alerts for automatic notification of events, such as sensor failures or trends in the data. Increased options for searching through data that demonstrate trends or characteristics. Increased capabilities for visualization of data, including mapping and tools for exploratory analysis. Creating more user-built applications on top of SensorBase.