NASA's Earth Observing One Spacecraft (EO-1) has been adapted to host an advanced suite of onboard autonomy software designed to dramatically improve the quality and timeliness of science-data returned from remote-sensing missions. The Autonomous Sciencecraft Experiment (ASE) enables the spacecraft to autonomously detect and respond to dynamic scientifically interesting events observed from EO-1's low earth orbit. ASE includes software systems that perform science data analysis, mission planning, and runtime robust execution. In this article we describe the autonomy flight software, as well as innovative solutions to the challenges presented by autonomy, reliability, and limited computing resources.
The paper presents an international multidisciplinary initiative, a Namibia SensorWeb Pilot Project, that was created as a testbed for evaluating and prototyping key technologies for rapid acquisition and distribution of data products for decision support systems to monitor floods. Those key technologies include SensorWebs, Grids and Computation Clouds. This pilot project aims at developing an operational trans-boundary flood management decision support system for the Southern African region to provide useful flood and water-borne disease forecasting tools for local decision makers. This effort integrates space-based and ground sensor data along with higher level geospatial data products to enable risk assessment and ultimately risk maps related to flood disaster management and water-related disease management. We present an overall architecture of the Pilot along with components and services being developed. Additionally, case-studies and results achieved so far are discussed. The presented work is being carried out within GEO 2009-2011 Work Plan as CEOS WGISS contribution.
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