A generic software framework analyzes data from broad coverage sweeps or general larger areas of interest. Change detection methods are used to extract subsets of directed swath areas that intersect areas of change. These areas are prioritized and allocated to targetable assets. This method is deployed in an automatic fashion, and has operated without human monitoring or intervention for sustained periods of time (months).

This work was done by Steve A. Chien, Daniel Q. Tran, and Joshua R. Doubleday of Caltech; and Thomas Doggett of Arizona State University for NASA’s Jet Propulsion Laboratory.

This software is available for commercial licensing. Please contact Dan Broderick at This email address is being protected from spambots. You need JavaScript enabled to view it.. Refer to NPO-48147.



This Brief includes a Technical Support Package (TSP).
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Change-Based Satellite Monitoring Using Broad Coverage and Targetable Sensing

(reference NPO-48147) is currently available for download from the TSP library.

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NASA Tech Briefs Magazine

This article first appeared in the April, 2013 issue of NASA Tech Briefs Magazine (Vol. 37 No. 4).

Read more articles from this issue here.

Read more articles from the archives here.


Overview

The document appears to be a compilation of various technical insights and collaborative efforts related to environmental monitoring, sensor technology, and data management, primarily focusing on projects associated with NASA's Jet Propulsion Laboratory (JPL) and other research institutions.

Key highlights include:

  1. Undersea Planning and Prosecution: The document outlines the services provided by the National Science Foundation (NSF) and the Ocean Observatories Initiative (OOI), which include interactive observatory facility services, event response services, and multi-objective observation catalogs. These services are crucial for managing and protecting marine assets and facilitating research in oceanography.

  2. Mount Saint Helens In-situ Network: A collaborative project involving Washington State University, the US Geological Survey, and JPL focuses on monitoring volcanic activity. This partnership leverages expertise in hardware design, networking, and autonomy to enhance the understanding of volcanic systems and improve disaster response capabilities.

  3. Disease Vector Estimation Strategy: The document references a malaria risk map developed by NOAA, which identifies priority areas for intervention and resource allocation to combat malaria epidemics. This highlights the integration of environmental data in public health strategies.

  4. Sensorwebs for Ecosystem Monitoring: A significant portion of the document discusses the use of sensor webs to monitor ecosystems. This involves integrating various sensing technologies, tracking systems, and modeling efforts from multiple institutions, including Goddard Space Flight Center and UCSD. The collaboration aims to enhance the understanding of environmental changes and their impacts on ecosystems.

  5. LIS Science and Data Flow: The document also touches on the Land Information System (LIS), which focuses on data assimilation related to soil moisture, temperature, and other environmental factors. This system plays a vital role in applications ranging from meteorology to natural hazard management.

  6. Technical Support Package: The document serves as a technical support package for change-based satellite monitoring, emphasizing the importance of broad coverage and targetable sensing in environmental monitoring. It is part of NASA's efforts to disseminate aerospace-related developments with broader technological and commercial applications.

Overall, the document encapsulates a range of initiatives aimed at enhancing environmental monitoring and disaster response through advanced technology and collaborative research, showcasing the intersection of science, technology, and public health.