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Title:
Satellite Sensornet Gateway Technology Infusion Through Rapid Deployments for Environmental Sensing
Authors:
Benzel, T.; Silva, F.; Deschon, A.; Ye, W.; Cho, Y.
Affiliation:
AA(USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292, United States ; ), AB(USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292, United States ; ), AC(USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292, United States ; ), AD(USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292, United States ; ), AE(USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA 90292, United States ; )
Publication:
American Geophysical Union, Fall Meeting 2008, abstract #IN33C-04
Publication Date:
12/2008
Origin:
AGU
AGU Keywords:
0535 Hardware solutions, 0594 Instruments and techniques, 9805 Instruments useful in three or more fields, 9820 Techniques applicable in three or more fields
Abstract Copyright:
(c) 2008: American Geophysical Union
Bibliographic Code:
2008AGUFMIN33C..04B

Abstract

The Satellite Sensornet Gateway (SSG) is an ongoing ESTO Advanced Information Systems Technology project, at the University of Southern California. The major goal of SSG is to develop a turnkey solution for building environmental observation systems based on sensor networks. Our system has been developed through an iterative series of deployment-driven design, build, test, and revise which maximizes technology infusion to the earth scientist. We have designed a robust and flexible sensor network called Sensor Processing and Acquisition Network (SPAN). Our SPAN architecture emphasizes a modular and extensible design, such that core building blocks can be reused to develop different scientific observation systems. To support rapid deployment at remote locations, we employ satellite communications as the backhaul to relay in-situ sensor data to a central database. To easily support various science applications, we have developed a unified sensor integration framework that allows streamlined integration of different sensors to the system. Our system supports heterogeneous sets of sensors, from industry-grade products to research- specific prototypes. To ensure robust operation in harsh environments, we have developed mechanisms to monitor system status and recover from potential failures along with additional remote configuration and QA/QC functions. Here we briefly describe the deployments, the key science missions of the deployments and the role that the SSG technology played in each mission. We first deployed our SSG technology at the James Reserve in February 2007. In a joint deployment with the NEON project, SDSC, and UC Riverside, we set up a meteorological station, using a diverse set of sensors, with the objective of validating our basic technology components in the field. This system is still operational and streaming live sensor data. At Stunt Ranch, a UC Reserve near Malibu, CA, we partnered with UCLA biologist Phillip Rundel in order to study the drought impact on deep and shallow rooted plants. Our system was deployed in December 2007 and monitors sap flow on various plant species, while using a satellite link for real-time data access. In April 2008, in a joint deployment with UCLA, UC Merced, and GLEON, our SSG technology was used to study the impact of agricultural run off in a series of salt lakes near Bahia Blanca, Argentina. Our system collected meteorological data that were combined with water quality measurements taken from boats and buoys. Our SSG technology was used at the PASI workshop in June 2008 at the La Selva Biological Research Station in Costa Rica. As part of a two-week curriculum, students from throughout the americas used our system to collect measurements in the rain forest and later analyzed the data. La Selva plans to install several SSG nodes throughout the reserve and make mobile nodes available for visiting researchers to use in their research. We are currently planning a deployment with environmental engineer Tom Harmon from UC Merced to build an autonomous water quality flow path and reactive transport observation system near Merced, CA. SSG technology will be deployed to monitor soil, groundwater, and surface water parameters. In China's Guizhou Province, we are collaborating with researcher Sarah Rothenberg, who is studying mercury cycling in rice paddies. Our SSG system will collect soil parameters such as pH and ORP, in addition to environmental measurements such as PAR, and UV. This presentation will describe the SSG project, the SPAN prototype and our experience with technology infusion from the deployments.

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