{
"@context": "http://schema.org/", "@type": "WebPage", "additionalType": "Project", "url": "https://www.usgs.gov/centers/norock/science/remote-sensing-tools-advance-avalanche-research", "headline": "Remote Sensing Tools Advance Avalanche Research", "datePublished": "August 17, 2021", "author": [ { "@type": "Person", "name": "Erich Peitzsch, Ph.D", "url": "https://www.usgs.gov/staff-profiles/erich-peitzsch", "identifier": { "@type": "PropertyValue", "propertyID": "orcid", "value": "0000-0001-7624-0455" } }, { "@type": "Person", "name": "Zachary Miller", "url": "https://www.usgs.gov/staff-profiles/zachary-miller", "identifier": { "@type": "PropertyValue", "propertyID": "orcid", "value": "0000-0002-6876-6710" } } ], "description": [ { "@type": "TextObject", "text": "The USGS Snow and Avalanche Project (SNAP) uses remotely sensed technologies to understand snowpack changes that influence water storage, recreation, avalanche hazard and acts as a driver of landscape change. Satellites, uninhabited aerial systems (UAS), and structure-from-motion (SfM) photogrammetry are some of the tools scientists use to collect high resolution imagery that supports ongoing snow science research and provides practical new tools that advance avalanche forecasting and benefit resource management." }, { "@type": "TextObject", "text": "Additional Resources:" }, { "@type": "TextObject", "text": "Remote Sensing Provides New Perspective" }, { "@type": "TextObject", "text": "The application of these technologies to snow science provides researchers with spatial data at multiple scales, from a single slope or known hazard zone, to a full watershed scale where snowpack data are used in regional hydrologic analyses. Scientists working on the USGS SNAP continue to explore innovative ways to use these rich sources of data to expand the understanding of snow on the landscape and advance avalanche forecasting." }, { "@type": "TextObject", "text": "Scientists from diverse disciplines utilize remote sensing tools to provide a birds-eye view of the landscape and efficiently collect valuable high resolution data. For snow scientists and avalanche forecasters, knowing the distribution of snow across the landscape in relation to weather events is critically important, but challenging to obtain due to complex terrain, inherent risks, and spatial limitations. Remote sensing tools provide comprehensive data and a safer alternative to collecting snow depth and distribution information over a variety of spatial scales. The USGS Snow and Avalanche Project (SNAP) employs a variety of remote sensing techniques to support studies that focus on how avalanches act as both a hazard and a driver of landscape change. Ongoing research include these remote sensed applications:" } ], "funder": { "@type": "Organization", "name": "Northern Rocky Mountain Science Center", "url": "https://www.usgs.gov/centers/norock" }, "about": [ { "@type": "Thing", "name": "Information Systems" }, { "@type": "Thing", "name": "drones" }, { "@type": "Thing", "name": "Climate & Land Use" }, { "@type": "Thing", "name": "Energy" }, { "@type": "Thing", "name": "Science Technology" }, { "@type": "Thing", "name": "Biology" }, { "@type": "Thing", "name": "Environmental Health" }, { "@type": "Thing", "name": "Water" }, { "@type": "Thing", "name": "Climate Change in Mountain Ecosystems (CCME)" }, { "@type": "Thing", "name": "Remote Sensing" }, { "@type": "Thing", "name": "Climate Change" }, { "@type": "Thing", "name": "Glaciers" }, { "@type": "Thing", "name": "glaciers" }, { "@type": "Thing", "name": "Avalanche" }, { "@type": "Thing", "name": "Satellite Imagery" }, { "@type": "Thing", "name": "Methods and Analysis" }, { "@type": "Thing", "name": "avalanches" }, { "@type": "Thing", "name": "Geology" }, { "@type": "Thing", "name": "Ecosystems" }, { "@type": "Thing", "name": "Snow and Avalanches" }, { "@type": "Thing", "name": "Cryosphere: Earth\u2019s Snow, Ice, and Permafrost" } ]
}