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USFS Power Fire Lidar, CA 2015
Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid United States Forest Service in assessing the topographic and geophysical properties of the study area to support ecological restoration planning and to assess existing conditions of area forests. The Power Fire project area covers over 114,000 acres (> 460 km2)
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USFS Freds Fire Lidar, CA 2015
공공데이터포털
Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid the United States Forest Service in assessing topographic and geophysical properties, as well as supporting ecological restoration planning, and assessing existing conditions of area forests. The Freds Fire project area covers over 150,000 acres (> 600 km 2)
USFS Bagley Fire Lidar, CA 2013
공공데이터포털
Lidar was collected on August 29 - September 01 2013 over the Bagley Fire Area in California for the USFS Pacific Region. Data were collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. The Bagley Fire project area covers over 200 km2
USFS Mule Lidar, CA 2013
공공데이터포털
Lidar was collected over the Mule Project Site in the Modoc Forest of California between October 20th - 21st 2013 for the USFS Pacific Region. Data was collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 19,000 acres ( over ~79 km2)
USFS Mule Lidar, CA 2012
공공데이터포털
Lidar was collected over the Mule Project Site of California on October 15th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 11,000 acres ( over ~46 km2)
USFS Oak Creek Lidar, CA 2012
공공데이터포털
Lidar was collected over Oak Creek California near Kings Canyon National Park between November 13th - 15th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 16,000 acres ( over 68 km2)
USFS Kern Plateau Lidar, CA 2011
공공데이터포털
Lidar data was collected over the Kern Plateau in the Sequoia National Forest, California for the USDA Forest Service between August 13th – 18th, 2011. The Kern Plateau project area covers over 134,00 acres (>544 km2).
USFS Hager Basin Lidar, CA 2013
공공데이터포털
Lidar was collected over Hager Basin, California on October 2nd - 5th 2013 for the USFS Pacific Region. Data were collected provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 3200 acres ( over 13 km2)
USFS Bean Hill Lidar, CA 2012
공공데이터포털
Lidar was collected in August 2012 over the Bean Hill area in Northern California for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers roughly 143 acres ( 0.6 km 2)
USFS Medicine Lake Volcano Lidar, CA 2013
공공데이터포털
Lidar was collected over Harris Mountain and Medicine Lake, California between October 6th and October 18th 2013 for the USFS Pacific Region. This dataset was collected in order to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 83,000 acres ( over 330 km2)
USFS Moores Flat Lidar, CA 2013
공공데이터포털
Lidar was collected over the Moores Flat region of California on April 26th 2013 for the USFS Pacific Region. This dataset was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 2960 acres ( over ~12 km2)