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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,663 datasets
A 2-meter resolution raster elevation model covering approximately 75% of England, derived from airborne LIDAR surveys. Produced by the Environment Agency, the composite merges the best available data from a time-stamped archive and is updated annually. All LIDAR data has a vertical accuracy of +/-15cm RMSE and is referenced to the Ordnance Survey Newlyn datum.
England's terrain model derived from LIDAR data, covering over 60% of the country at a 1-meter spatial resolution. The Environment Agency produced this Digital Terrain Model in 2017 by processing the last-return LIDAR signal to remove surface objects like buildings and vegetation. Data is available in 5km grid tiles with a vertical accuracy of +/-15cm RMSE.
A 2026 vector map product provides fine-scale dendrometric characteristics for forest planning in Quebec. It includes predicted variables such as usable volume per hectare by species, basal area, and number of stems per hectare. The data is complementary to other forest inventories and covers territories with LiDAR acquisition in specific bioclimatic domains.
CALIPSO's Infrared Imaging Radiometer (IIR) Level 2 Track product contains emissivity and cloud particle data for pixels co-located with the satellite's lidar track. The dataset is part of the joint NASA-CNES CALIPSO mission, launched in 2006 to study the roles of clouds and aerosols in Earth's climate. It provides ongoing observations from the A-Train satellite constellation.
A Digital Terrain Model (DTM) derived from a 2021 pilot bathymetric LiDAR survey commissioned for Dundrum Bay and Carlingford Lough. The survey used a Rapid Airborne Multi-beam Mapping System (RAMMS) capable of approximately 25,000 range observations per second and penetration to three times visual water clarity. The dataset is provided by the Government Digital Service under the OGL-UK-3.0 license.
The NI 3D Coastal Survey commissioned a complete airborne LiDAR survey of the Northern Ireland coastline in 2021. The survey captured the intertidal area and extended approximately 200 meters landward of the high-water mark. This dataset is the Digital Surface Model derived from that LiDAR data.
A pilot bathymetric LiDAR survey commissioned in 2021 mapped the nearshore areas of Dundrum Bay and Carlingford Lough. The dataset is a Digital Terrain Model created from that survey, collected by the Government Digital Service under the OGL-UK-3.0 license. The survey used a Rapid Airborne Multi-beam Mapping System (RAMMS) capable of capturing high-resolution data to depths of three times the visual water clarity.
A Digital Terrain Model derived from a 2021 pilot bathymetric LiDAR survey. The survey mapped nearshore areas of Dundrum Bay and Carlingford Lough using a Rapid Airborne Multi-beam Mapping System (RAMMS). The dataset is published by the Government Digital Service under the OGL-UK-3.0 license.
Fifteen geotiff files contain processed bathymetry data from a 47-day survey conducted by RV Falkor from September 30 to November 17, 2020. The survey mapped submarine canyons, drowned reefs, and an underwater landslide in the Cape York Peninsula region and Coral Sea Marine Park using Kongsberg EM302 multibeam sonar. This dataset is published with the permission of Geoscience Australia.
July 2020 vegetation canopy data for Quebec City, derived from automated classification of World-View-3 and Pléiades satellite imagery with 31 cm resolution, supplemented by a 2017 Lidar survey. The dataset represents the ground projection of tree crowns as visible from the sky. It is provided by the Government and Municipalities of Québec under a CC-BY-4.0 license.
November 13 to December 7, 1991, this dataset contains vertical profiles of water vapor mixing ratio measured by a GSFC Raman Lidar during the second FIRE Cirrus intensive field observation in southeastern Kansas. Data consists of a series of one-minute and ten-minute averaged profiles with 75-meter vertical resolution from near ground level to 10.299 kilometers. The collection is part of the NASA-organized First ISCCP Regional Experiments aimed at improving cloud and radiation models.
From 1994 to 2024, this dataset compiles drone-related terrorist incidents worldwide by merging records from ACLED and the Global Terrorism Database. It focuses on the tactical use of Unmanned Aerial Systems by non-state actors and includes Python-based cleaning and merging logic. The dataset was authored by Dora Edelmann and is available under a CC-BY-4.0 license.
Lidar wind measurements were collected by the Doppler Aerosol WiNd (DAWN) instrument aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The dataset includes Line-of-Sight winds, vertical profiles of horizontal wind velocity, and frequency-domain signal energy, mapped against time, latitude, and longitude. NASA's Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) provides this data from the campaign conducted over the Atlantic Ocean.
G-LiHT Hyperspectral Radiance V001 is an airborne imaging dataset from NASA's Goddard LiDAR, Hyperspectral, and Thermal Imager mission. It provides high-resolution radiance data across 114 spectral bands from 418 to 920 nanometers, processed as 1-meter resolution GeoTIFF rasters. The data focuses on mapping forest communities and ecoregions across North America.
G-LiHT's Hyperspectral Reflectance data product provides high-resolution reflectance data across 114 spectral ranges from 418 to 920 nanometers. The data is collected by NASA's airborne imaging system at a nominal height of 335 meters above ground level, covering forest communities and ecoregions in North America, including the Conterminous United States, Alaska, Puerto Rico, and Mexico. The data is processed as a 1-meter spatial resolution raster product.
Multi-sensor remote sensing data captures landscape conditions before and after the 2013 Rim and 2014 King mega forest fires in California's Sierra Nevada. The dataset includes high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures. Data is provided by ORNL_CLOUD and spans from 2010 to 2015.
United States atmospheric data from the 2017 ACEPOL campaign collected by the High Spectral Resolution Lidar 2 (HSRL-2) onboard a NASA ER-2 aircraft. The dataset provides active lidar measurements of aerosol and cloud properties to support climate and air quality research. It was jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON).
A compilation of information asset records from national and territorial entities in Colombia, registered through a national tool created to consolidate national assets. The dataset includes metadata such as creation date, update frequency, data format, and legal basis for each asset. It is published by www.datos.gov.co and was last updated on 2026-05-18.
NASA's Atmospheric Carbon and Transport (ACT-America) project provides Level 1 differential absorption optical depth (DAOD) measurements from the Multi-Functional Fiber Laser Lidar (MFLL) aboard a C-130 Hercules aircraft. The dataset captures column CO2 number density at a 0.1-second frequency across four seasonal campaigns from Summer 2016 to Spring 2018 over central and eastern U.S. regions. Data includes interpolated aircraft flight information such as latitude, longitude, altitude, and attitude.
CAMEX-4 Aerosonde data contains temperature, humidity, and atmospheric pressure measurements collected by an unmanned aerial vehicle to study the boundary layer below traditional hurricane reconnaissance altitudes. The Aerosonde UAV, with a 2.9-meter wingspan and 14 kg weight, collected this data by flying at altitudes from near the surface to 21,000 feet for up to 30 hours. NASA produced this dataset during the CAMEX-4 campaign, with metadata updates noted as recently as 2026.