Item talk:Q55473: Difference between revisions

From geokb
(Added abstract and other texts to publication item's discussion page for reference)
 
(Wrote fresh schema.org document to item wiki page)
Line 1: Line 1:
= Landsat Collection 2 Level-3 Fractional Snow Covered Area science product =
{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Landsat Collection 2 Level-3 Fractional Snow Covered Area science product", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "fs20223086", "url": "https://pubs.usgs.gov/publication/fs20223086"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70239014}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/fs20223086", "url": "https://doi.org/10.3133/fs20223086"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Fact Sheet"}], "datePublished": "2022", "dateModified": "2023-06-28", "abstract": "The Landsat Collection 2 Level-3 Fractional Snow Covered Area science product indicates the percentage of pixels covered by snow for Landsat 4\u20139 imagery. Landsat\u2019s spatial resolution offers the capability to map snow cover patterns across topographically complex mountainous regions. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, making spaceborne remote sensing the most feasible approach to measure and monitor snow cover change.", "description": "Report: 2 p.; Dataset", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Organization", "name": "U.S. Geological Survey"}], "funder": [{"@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros"}]}
The Landsat Collection 2 Level-3 Fractional Snow Covered Area science product indicates the percentage of pixels covered by snow for Landsat 4–9 imagery. Landsat’s spatial resolution offers the capability to map snow cover patterns across topographically complex mountainous regions. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, making spaceborne remote sensing the most feasible approach to measure and monitor snow cover change.
 
== Table of Contents ==
* Product Availability
* Product Improvements
* Package Contents
* Statistics Product
* Data Access
* Documentation
* Citation Information

Revision as of 18:26, 15 July 2024

{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Landsat Collection 2 Level-3 Fractional Snow Covered Area science product", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "fs20223086", "url": "https://pubs.usgs.gov/publication/fs20223086"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70239014}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/fs20223086", "url": "https://doi.org/10.3133/fs20223086"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Fact Sheet"}], "datePublished": "2022", "dateModified": "2023-06-28", "abstract": "The Landsat Collection 2 Level-3 Fractional Snow Covered Area science product indicates the percentage of pixels covered by snow for Landsat 4\u20139 imagery. Landsat\u2019s spatial resolution offers the capability to map snow cover patterns across topographically complex mountainous regions. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, making spaceborne remote sensing the most feasible approach to measure and monitor snow cover change.", "description": "Report: 2 p.; Dataset", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Organization", "name": "U.S. Geological Survey"}], "funder": [{"@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros"}]}