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The paper presents two systems called PATS and SAP that when integrated realize Sensor Web Enablement (SWE) of spatially distributed mobile sensors. The Personal Alert and Tracking System (PATS) consists of a networked collection of custom-designed low-power wireless nodes, arranged in ad-hoc network topologies, to provide tracking for wild land firefighters. These mobile nodes form arbitrary network topologies and use a multi-hop packet routing protocol to relay sensor data to the command center. The multi-hop capability enables robust communication in a variety of environments by routing around natural and man-made terrain features. Situational Awareness and Prediction (SAP) works with the PATS sensor network to convert sensor data to information and to provide real-time collaborative situational awareness. The goal is to deliver a resource utilizing intelligent reasoning coupled with rule-based actionable intelligence using diverse knowledge fusion and modal trend forecasting. The SAP makes this data available to information sharing middleware using OGC standards.The paper describes the architecture of both the PATS and SAP systems and how these two systems interoperate with each other. The SAP system works in concert with the Unified Incident Command and Decision Support (UICDS) information sharing middleware to provide data fusion from multiple sources. UICDS can then publish the sensor data using the OGC's Web Mapping Service, Web Feature Service, and Sensor Observation Service standards. The system described in the paper is able to integrate a spatially distributed sensor system, operating without the benefit of the Web infrastructure, with a remote monitoring and control system that is equipped to take advantage of SWE.

The Mars Exploration Rover Mission (MER) includes the twin rovers, Spirit and Opportunity, which have been performing geological research and surface exploration since early 2004. The rovers' durability well beyond their original prime mission (90 sols or Martian days) has allowed them to be a valuable platform for scientific research for well over 2000 sols, but as a by-product it has produced new challenges in providing efficient and cost-effective tactical operational planning. ***

This paper presents a case study of the various interfaces and underlying architectures used to monitor and control a variety of different robots and test scenarios at the Jet Propulsion Laboratory (JPL). It includes a description of both the software developed and the hardware adapted for the purpose of providing real-time and near-real time interaction with remote assets. Robots range from the prototype lunar exploration robot ATHLETE[1] (All Terrain Hex Limbed Extra Terrestrial Explorer) to Aerobot, a propeller driven lighter then air blimp to an assortment of Unmanned Aerial Vehicles (UAV) being tested at White Sands Missile Range (WSMR). The paper focuses primarily on three Virtuoso software tools: the Telemetry Canvas, Scratchpad, and Stereo Display Views. We also describe robot specific implementations of various off-the-shelf hardware input devices. An overview of the existing telemetry distribution networks for each implementation is also covered.

Mars rover images provide essential context for planning science activities. This work describes a method for delivering Mars rover images to operations planners that is highly efficient and scalable. Experimental results of various image compression strategies applied to rover images are given. Next, an adaptive level-of-detail tile-based delivery methodology for images is presented. With a tile-aware image browsing application, images of virtually limitless size may be distributed to participating scientists with great efficiency and thus provide a common collaborative context. This work also describes advances in mosaicking rover images in support of operations planning.