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.

Lidar was collected between November 01 2012 and November 07 2012 in the Northern Sierra Nevada Mountains of California. Data were collected by National Center for Airborne Laser Mapping (NCALM) for Dr. Qinghua Guo at the University of California, Merced Sierra Nevada Research Institute. This dataset covers roughly 437 km2

This lidar dataset was collected as part of an NCALM Seed grant for Thomas Herbst at the University of Missouri. This project explored Lava Domes, and mapped a portion of the Lassen Volcanic Center in Lassen Volcanic National Park, California. The dataset was collected in 2019 and covers roughly 55 km 2

Data were collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format with associated shaded relief models. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-off data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The "Critical Zone" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.Read the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.IMPORTANT NOTE: Due to weather and equipment failures the snow-on surveys were flown during 2 different time periods in May, between which there were substantial snow accumulations. Do not combine data from May 5/9, 2010 and May 20/21, 2010.

This lidar dataset was collected as part of an NCALM Seed grant for Conor McMahon at the University of California, Santa Barbara. This dataset was collected to provide riparian vegetation mapping, classification, and measure historic drought response on the San Pedro river. The study area is located east of Sierra Vista, Arizona and covers approximately 81.5 km2.

This 2015 airborne lidar dataset covers the eastern San Gabriel Mountains and northern San Jacinto Mountains, California. The goal of this project was to characterize the morphology of steep hillslopes in southern California to understand how bedrock fracturing controls landscape evolution. The survey area covers approximately 143 km2 in the San Gabriel Mountains and 183 km2 in the San Jacinto Mountains.

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.

This 2018 airborne lidar dataset was collected by NCALM for the NSF-funded project, "Topographic response to the transition from snowmelt- to rainfall- triggered extremes". This study uses lidar data to characterize hillslope and river network properties to understand how rainstorm and snowmelt runoff drive large floods, erosion, and the long-term evolution of landscapes. The survey area is located northwest of Colorado Springs, CO and covers approximately 557 km2.

This lidar data set includes unclassified swath LAS 1.4 files, classified LAS 1.4 files, breaklines, digital elevation models (DEMs), first return digital surface models (DSMs), and intensity imagery. Geographic Extent: Fourteen partial counties in Utah, covering approximately 7,005 total square kilometers; partial coverage of three counties covering approximately 182 square kilometers in the Minidoka QL1 AOI. This area is part of the Bear Lake / Cache Valley QL1 AOI. Dataset Description: The Utah 2016 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 12, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 215 individual 1,000 meter x 1,000 meter tiles; as tiled intensity imagery, as tiled bare earth DEMs, and as tiled first return DSMs all tiled a 2,000 meter x 2,000 meter schema (82 tiles). Continuous breaklines were produced in Esri shapefile format. Ground Conditions: Lidar was partially collected in fall of 2016, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. established a total of 28 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 5 independent accuracy checkpoints, 5 in Bare Earth and Urban landcovers (5 NVA points), 6 in the Shrubs and Tall Grass category (6 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

2010 Boulder Creek, Colorado Snow-Off LiDAR SurveysLiDAR was acquired for a 600 km2 area inside the Boulder Creek watershed during a snow-off (August, 2010) time slice, near Boulder Colorado. This data was collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format, approx. 1-2 GB each, with associated shaded relief models, for a total of 15 GB of data. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-on data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The "Critical Zone" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.PLEASE READ the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.