SEAMONSTER: A Wireless Sensor Web Prototype Applied to Studying Glaciated Watersheds

2010 Earth Science Technology Forum (ESTF2010), 22-24 June 2010, Arlington, VA

Matt Heavner, Dennis R. Fatland, Eran Hood, and Cathy Connor

“The SouthEast Alaska MOnitoring Network for Science, Technology, Education and Research (SEAMONSTER) Sensor Web is operating in partially glaciated watersheds on the margin of the Juneau Ice Field. Data from distributed, heterogeneous sensors with irregular sampling rates is integrated in a PostGIS (PostgreSQL with GIS extensions) database. Data discovery, data browsing, the sensor web operation and management, and education and publication are facilitated by the integration of the PostGIS database and Geoserver to deliver dynamically generated geospatial output. This presentation will focus on the technology developed to operate the SEAMONSTER sensor web and lessons learned regarding sensing the data using networking both internal and external to the sensor web. We will present examples of data fusion, modeling and reanalysis of the data using Open Geospatial Consortium (OGC) standards, and present lessons learned from the project.”

Can we Trust Information? – The Case of Volunteered Geographic Information

Proceedings of the Workshop “Towards Digital Earth: Search, Discover and Share Geospatial Data 2010” at Future Internet Symposium, Berlin, Germany, September 20, 2010

Mohamed Bishr, Krzystof Janowicz

“In this paper we take a fresh look at the problem of information quality for user contributed content. We assert that the traditional quality criteria for assessing the quality of geographic information are difficult to apply to Volunteered Geographic Information. The notion of informational trust is introduced and linked to the established notion of interpersonal trust. We then propose to use informational trust and reputation as proxy measures for information quality and outline the spatial and temporal dimensions of trust that have to be considered.”

ArcGIS Mapping for SharePoint 2.0: Simple-to-Use Software Adds Maps and Spatial Analytics to SharePoint

Esri announced the release of ArcGIS Mapping for SharePoint 2.0 today. ArcGIS Mapping for SharePoint is a set of easy-to-configure Web parts, delivered as an out-of-the box solution for displaying information on a map in SharePoint. With the latest release, it is much easier for ArcGIS Server users to work with their information in Microsoft’s file-sharing and Web publishing software. Version 2.0 features a streamlined user interface and advanced geoprocessing capabilities built on an extensible framework.

Users can quickly create new maps or add existing maps and perform advanced spatial analysis on layers within Web Map Part using ArcGIS Server geoprocessing services as tools. New geocoding enhancements shorten workflows by allowing address locations to be automatically updated when a data record is added or changed. Esri also revamped the software to improve extensibility, providing a lightweight framework that makes it easy to add custom commands, behaviors, and layout widgets to the application.

“We have greatly simplified the effort required to create new maps in SharePoint and add maps from existing ArcGIS applications,” said Bob Hazelton, product manager for ArcGIS Mapping for SharePoint. “This opens the audience pool to include designers with no programming background. Developers will find the ability to extend ArcGIS Mapping for SharePoint with the ArcGIS API for Silverlight to be very helpful.”

To download or get more information, visit Outside the United States, please contact your local Esri distributor; see for a current distributor list.

[Source: Esri press release]

Geospatial Linked Open Services

Proceedings of the Workshop “Towards Digital Earth: Search, Discover and Share Geospatial Data 2010” at Future Internet Symposium, Berlin, Germany, September 20, 2010

Barry Norton, Reto Krummenacher

“Linked Open Services are a principled attempt to guide the creation and exposure of online services, in order to enable productive use of, and contribution to, Linked Data. They communicate RDF directly, via HTTP-based interaction, and their contribution to the consumer’s knowledge, in terms of Linked Data, is described using SPARQL. To achieve this they bring together, and extend, the principles of Linked Data and of REST. In this paper we focus on the development of Linked Open Services for the geospatial domain and explain how they overcome the short-comings of existing services over the geonames dataset, a core part of the Linked Open Data Cloud.”