Project: 32f8452c-f536-459b-8c76-a4eb042cdc13

Metadata Format
Project Title
Alaska LiDAR Data Processing - Colville to Staines River
Description
Agreement with USGS to provide funding necessary to process a LiDAR dataset acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
Point of Contact(s)
LCC Network Data Steward
LCC Network Data Manager
lccdatasteward@fws.gov
Arctic Landscape Conservation Cooperative
U.S. Fish & Wildlife Service
1011 E. Tudor Rd
Anchorage, Alaska 99503
V: +1 907 7863532
staff@arcticlcc.org
http://arcticlcc.org
Arctic Landscape Conservation Cooperative
U.S. Fish & Wildlife Service
1011 E. Tudor Rd
Anchorage, Alaska 99503
V: +1 907 7863532
staff@arcticlcc.org
http://arcticlcc.org
John C. Brock
Senior Scientist
12201 Sunrise Valley Drive
Reston, Virginia 20192
V: +1 703 6486053
jbrock@usgs.gov

Project Abstract

The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.

Supplemental Info: None Provided.

Project Links

Project Keywords

  • ISO 19115 Topic Category (isoTopicCategory):
    • elevation,
    • environment
  • Global Change Master Directory (GCMD) Science Keywords (theme):
    • LIDAR,
    • DIGITAL ELEVATION/DIGITAL TERRAIN MODELS,
    • COASTAL ELEVATION
  • End User Types - Landscape Conservation Cooperatives (LCC End User Type):
    • Federal resource managers,
    • Academics & scientific researchers,
    • Conservation NGOs,
    • Policy makers & regulators,
    • Regional & county planners,
    • State agencies
  • Project Category - Landscape Conservation Cooperatives (LCC Project Category):
    • Data Acquisition and Development