The National Center for Airborne Laser Mapping (NCALM) conducted a leaf-on survey of the Calhoun Critical Zone Observatory (CCZO) area on July 30, 2014 (hyperspectral imaging) and August 5-6, 2014 (LiDAR). The LiDAR survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter). Hyperspectral imaging data were also collected over the study area and are available via the following links: CalibrationLlines_211.zip CalibrationLines_219.zip CZO_SC_2014_HyperspectralData_part1.zip CZO_SC_2014_HyperspectralData_part2.zipCZO_SC_2014_HyperspectralData_part3.zip

Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6). This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.

This is the AmeriFlux version of the carbon flux data for the site US-Rms RCEW Mountain Big Sagebrush. Site Description - The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is dominated by mountain big sagebrush on land managed by USDI Bureau of Land Management.

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.

Data archive for the Luquillo Critical Zone Observatory (LCZO), Puerto Rico. Active from 2009 to 2020. The archive is here: https://www.hydroshare.org/group/144 LCZO focuses on how Critical Zone processes and water balances differ in tropical landscapes with contrasting bedrock but similar climatic and environmental histories. Our infrastructure, sampling strategy, and data management system include watersheds underlain by granodiorite (GD) and volcaniclastic (VC) bedrock in the natural laboratory of the Luquillo Mountains, Puerto Rico. LCZO is one of ten NSF-supported critical zone observatories. The archive is here: https://www.hydroshare.org/group/144 An additional dataset on Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest has been published here: https://doi.org/10.4211/hs.0181f4621d184a89a625ee16dd9858a6 An additional datasets for LCZO -- Stream Water Chemistry, Meteorology -- Environmental Monitoring -- Luquillo Mountains -- (2014-Ongoing) https://www.hydroshare.org/resource/b05e1645887f4122a284719bb6cb70dc/ Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. Praveen Kumar, University of Illinois. The Sangamon River area is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two connected rectangles enclosing approximately 198 square kilometers along with their associated watercourse corridors. The project rectangles are located 20 km west of Champaign. IL. The entire enclosed area of these 2 rectangles was surveyed with the Gemini (1064 nm, NIR instrument); the enclosed watercourse corridors illustrate where Aquarius (532 nm instrument) data was also collected.

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-Rws Reynolds Creek Wyoming big sagebrush. This is the FLUXNET version of the carbon flux data for the site US-Rws Reynolds Creek Wyoming big sagebrush produced by applying the standard ONEFlux (1F) software. Site Description - The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is dominated by Wyoming big sagebrush on land managed by USDI Bureau of Land Management.

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.

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-Rms RCEW Mountain Big Sagebrush. This is the FLUXNET version of the carbon flux data for the site US-Rms RCEW Mountain Big Sagebrush produced by applying the standard ONEFlux (1F) software. Site Description - The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is dominated by mountain big sagebrush on land managed by USDI Bureau of Land Management.

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-Rwf RCEW Upper Sheep Prescibed Fire. This is the FLUXNET version of the carbon flux data for the site US-Rwf RCEW Upper Sheep Prescibed Fire produced by applying the standard ONEFlux (1F) software. Site Description - The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is a recovering mountain big sagebrush site after a 2007 prescrobed fire

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-Rls RCEW Low Sagebrush. This is the FLUXNET version of the carbon flux data for the site US-Rls RCEW Low Sagebrush produced by applying the standard ONEFlux (1F) software. Site Description - The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is dominated by low sagebrush on land managed by USDI Bureau of Land Management.

This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. Praveen Kumar, University of Illinois. Clear Creek is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two rectangles - called East and West - enclosing approximately 204 square kilometers along with their associated watercourse corridors. The West rectangle is located 35 km NW of Iowa City, Iowa and the East rectangle is located 10 km NW of the same city. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (available here) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (this dataset) which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA- 31-350 Navajo Chieftain (Tail Number N154WW). Full waveform files are available via this link.

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.

This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a 1 km wide corridor, running for approximately 115 km along the Eel river. This survey was performed with 3 airborne remote sensing mapping systems. Two of these systems are LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (serial # 06SEN195) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (serial # 11SEN279) which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These two LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N154WW). The third airborne sensor was for Hyperspectral imaging. This portion of the survey was performed with a CASI-1500 - a push broom type hyperspectral imaging sensor sold by ITRES. It is mounted on a vibration isolated mount together with the Gemini LIDAR sensor. Hyperspectral data are available via this link.

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.