In 1997, the Sensor Web was conceived at the NASA/Jet Propulsion Laboratory (JPL)to take advantage of the increasingly inexpensive, yet sophisticated, mass consumer-marketchips for the computer and telecommunication industries and use them to create platforms thatshare information among themselves and act in concert as a single instrument. This instrumentwould be embedded into an environment to monitor and even control it. The Sensor Web’spurpose is to extract knowledge from the data it collects and use this information to intelligentlyreact and adapt to its surroundings. It links a remote end-user's cognizance with the observedenvironment. Here, we examine not only current progress in the Sensor Web technology, butalso its recent application to problems in hydrology to illustrate the general concepts involved

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The Earth Observing One Spacecraft is currently flying The Autonomous Sciencecraft Experiment (ASE)-onboard autonomy software to improve science return. The ASE software enables the spacecraft to autonomously detect and respond to science events occurring on the Earth. ASE includes software systems that perform science data analysis, mission planning, and run-time robust execution. In this article we describe the autonomy flight software and how it enables a new paradigm of autonomous science and mission operations. I.

Remote-sensed hyperspectral data represents significant challenges in downlink due to its large data volumes. This paper describes a research program designed to process hyperspectral data products onboard spacecraft to (a) reduce data downlink volumes and (b) decrease latency to provide key data products (often by enabling use of lower data rate communications systems). We describe efforts to develop onboard processing to study volcanoes, floods, and cryosphere, using the Hyperion hyperspectral imager and onboard processing for the Earth Observing One (EO-1) mission as well as preliminary work targeting the Hyperspectral Infrared Imager (HyspIRI) mission.