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USFS Moonlight Fire Lidar, CA 2013
Lidar was collected over the Moonlight Fire region of the Plumas National Forests in California between August 3rd and August 15th 2013 for the USFS Pacific Region. This dataset was collected to aid the USFS in assessing the topographic and geophysical properties of the study area to support planning and development for fire rehabilitation and restoration efforts. This dataset covers over 130,000 acres ( over ~529 km2)
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USFS Power 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 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)
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 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)
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 Michigan Bluff Lidar, CA 2013
공공데이터포털
Lidar was collected over Michigan Bluff, 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 3,000 acres ( over 12 km2)
USFS Blodgett Forest Lidar, CA 2013
공공데이터포털
Lidar was collected in November 2013 over the Blodgett Forest in Northern California. This dataset covers roughly 20 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 Bluff Creek Lidar, CA 2013
공공데이터포털
Lidar was collected in April 2013 over Bluff Creek 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 4145 acres ( ~16 km2)