Ryan Longhenry

Adopt a Pixel - Data Infrastructure

Note 9/22/18: The Adopt a Pixel concept has been incorporated into NASA's Globe Observer App (Land Cover Tool). Find out more and download the app at https://observer.globe.gov/. *** Adopt a Pixel-Data Infrastructure (AaP-DI) provides the basis for a new data acquisition system for ground reference data. These data will be used to complement existing and future remote sensing collections by providing geospatiallytagged ground-based landscape imagery and landcover of an exact location from 6 different viewing aspects. The goal is for AaP-DI to enable citizen participation in Landsat science. Principal Investigator : Ryan Longhenry, Eric C Wood Cooperator/Partner : Jeannie Allen, Virginia Butcher, Rachel Headley,...

Categories: Project; Tags: 2014, All Funded Projects, Completed, Computational Tools and Services, Data Release, All tags... Data and Information Assets, Mobile Application, Web Application, Fewer tags

Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.

Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote sensing data-streams, automated flood mapping workflows are needed. The U.S. Geological Survey is facilitating the development and integration of machine-learning algorithms in collaboration with NASA, National Geospatial Intelligence Agency (NGA), University of Alabama, and University of Illinois to create a workflow for rapidly...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC), United States, imageryBaseMapsEarthCover, inlandWaters