USFS Marble Valley Lidar, CA 2012

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Lidar was collected over Marble Valley, California on October 17th 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 7,000 acres ( over 29 km2)

USFS Michigan Bluff Lidar, CA 2013

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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 Humbug Creek Lidar, CA 2013

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Lidar was collected over Humbug Creek, California between September 4th and September 7th 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 24,000 acres ( over 100 km2)

USFS Meadow Valley Lidar, CA 2009

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Lidar was collected over Meadow Valley, California between July 31st 2009 and August 11th 2009 for the USFS Pacific Region. This dataset covers over 60,000 acres ( over 240 km2)

USFS Road46 Lidar, CA 2013

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Lidar was collected for the Road 46N02-Modoc area of California between October 4th - 5th 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 13,000 acres ( over 55 km2)

USFS Moonlight Fire Lidar, CA 2013

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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)

Preserving Mountains with Forest Management, CA 2020

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This lidar dataset was collected as part of an NCALM Seed grant for Louis Graup at the University of California, Santa Barbara. This study used airborne lidar to study how to preserve mountians as "water towers" through forest management. The study area is near Truckee, California and covers approximately 62 km2.

John Day Watershed 2006 - US Bureau of Reclamation

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These Lidar data were collected on October 5-7, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation and Oregon Trout in collaboration with the Malheur National Forest. The survey areas cover the floodplains of Desolation Creek from the mouth to Bruin Creek, the Middle Fork John Day River from just upstream of Big Creek to Summit Creek, and the John Day River from Prairie City to just above Dans Creek. The study areas total ~9,149 acres. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

Erosion and sedimentation within the Kern River Canyon, CA

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This lidar dataset was collected for William Krugh at California State University, Bakersfield as part of the Center for Climate and Natural Resource Solutions for Water-limited Regions project. This project is part of NSF's Center for Research Excellence in Science and Technology (CREST) program. Roughly 252 km2 of data were collected over the Kern River Canyon east of Bakersfield, CA.

LiDAR - Clarks River National Wildlife Refuge

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LiDAR geospatial data were collected on the 18,000 area Clarks River National Wildlife Refuge in late fall-winter 2011. The associated deliverables from the project are provided as geo-referenced in zipped folders. These datasets include 1-foot counter, bare earth DEM, Bare earth Hillshade, vare earth Terrain, control points, DSM, GT_report, Intensity, LAS, and Shapefiles. Associated Metadata may not be fully compliant.