These lidar data were collected on October 12 to November 9, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the the Methow River and Wenatchee River in Washington State. The study areas total ~360 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

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.

Lidar data for the United States portion of the Missisquoi Watershed in Northern Vermont. Data were collected during leaf-off conditions in 2008 and in 2009 while no snow was on the ground and rivers were at or below normal levels. The Lidar data were acquired at a nominal post spacing of 1.4 meters. Points were classified as ground (LAS class 2) using a combination of automated and manual techniques. The data were acquired by Photoscience and subsequently reviewed by the USGS and The University of Vermont. The data are made available on OpenTopography through a grant from AmericaView.

The lidar survey was conducted by vendor Earth Eye LLC, 3680 Avalon Park Blvd. The data were delivered in LAS 1.1 format with information on return number, easting, northing, elevation, scan angle, and intensity for each return. This project is the data acquisition phase of a administrative study being done in collaboration with the Nez Perce National Forest, Grangeville, ID; Forest Service Region 1 Regional Office, Missoula, MT (Forest Inventory and Analysis and Remote Sensing/ Geospatial Team); and Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 17, 325 hectares in north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components. Clear Creek is a tributary of the Middle Fork Clearwater River located east of Kooskia, Idaho. Vegetation is variable, transitioning from low elevation shrubland and mixed conifers to upper elevation spruce-fir. Ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) are the predominant species at lower to mid elevations occupying a fairly xeric setting transitioning to grand fir (Abies grandis) and western red cedar (Thuja plicata) at mid elevations and subalpine fir (Abies lasiocarpa) at the higher elevations.

High-resolution Lidar survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the National Science Foundation (NSF), Valles Caldera National Preserve (VCNP), Bandelier National Monument/National Park Service (BNM/NPS) and United States Geological Survey (USGS) and performed by the National Center for Airborne Laser Mapping (NCALM) during a snow-off season (June and July 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on Lidar survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.

Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data of the Klamath River and associated riparian zones from Klamath Falls, Oregon to Happy Camp, California for Woolpert, Inc. Acquisition of the data occurred between February 27th and March 15th, 2010. The total deliverable area, including a 100 m buffer, is 107,547 acres. The LiDAR survey uses a Leica ALS60 laser system. For the Klamath River survey area, the sensor was set to yield an average native pulse density of > 8 points per square meter over terrestrial surfaces. Up to 4 range measurements are possible per pulse, and all discernible laser returns were processed for the output dataset. OCM received 1,039 LAZ files from the Oregon Lidar Consortium. The files were in California State Plane zone 1 projected coordinate system, NAD83 (HARN) and geoid09. No metadata came with this dataset; information in this record is derived from the accompanying project report, which is linked below. Additionally, bare-earth DEMs produced from this dataset are available for download, and are linked in the Related Items section below.

High-resolution Lidar survey covers an area of 280 km2 in the upper part of the Jemez River basin, New Mexico. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak snowpack 2010 (March - April 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets, together with the snow-off Lidar survey performed in Jun - July 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.

High-resolution Lidar data (average first-return point density of 10 points m2 and 2-4 cm vertical accuracy) were obtained by NCALM for 121 km2 of the Christina River Basin Critical Zone Observatory (CRB-CZO) during both leaf-off (April 2010; see dataset CRB-10-Apr) and leaf-on (July 2010) periods. Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the LIDAR point cloud data. The CRB-CZO is particularly interested in using this LIDAR dataset for high-resolution analyses of stream channel and floodplain geomorphology.

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)

The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.