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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
A 2018 airborne lidar survey collected by NOAA's National Geodetic Survey using a Riegl VQ880G system. The data includes both topographic and bathymetric points classified as ground, noise, bathymetric point, and submerged object according to ASPRS standards. It may also contain lidar intensity values and encoded RGB image values.
Data were acquired from October 10 to October 27, 2017, by the NOAA National Geodetic Survey using a Riegl VQ880G system. The dataset includes topobathy lidar point clouds in LAS 1.4 format, with classifications for ground, water surface, bathymetric bottom, and submerged objects. It may also contain lidar intensity values and encoded RGB image values.
Lidar point cloud data covering approximately 53,381 acres along the Atlantic Coast of Miami, Florida. The data were collected by NOAA's National Geodetic Survey using a Riegl VQ880G system between February 24 and March 10, 2017. Quantum Spatial Inc processed the data, which includes classifications for ground, bathymetric bottom, and submerged features, delivered in 500m x 500m LAS tiles.
NOAA National Geodetic Survey collected topobathy lidar data for the Chesapeake Bay, Virginia area from November 3, 2022 through March 5, 2023. The data are in LAS 1.4 format and include points classified as ground, water surface, submerged objects, and noise according to ASPRS standards. The data were acquired by Woolpert using a Leica Hawkeye4X system.
Massachusetts coastal data from Chatham Bay to Monomoy Point collected by the NOAA National Geodetic Survey using a Leica Chiroptera 4X airborne lidar system. The point cloud data, acquired between June 5 and July 23, 2022, includes topographic and bathymetric returns classified according to ASPRS standards, with categories for ground, water surface, submerged features, and vegetation. The data may also include lidar intensity values.
2011 topographic lidar data collected by the NOAA National Geodetic Survey Remote Sensing Division using a Riegl Q680i-D system. The data includes classified point clouds in LAS 1.2 format with intensity values and encoded RGB image values. It covers the Great Bay and Portsmouth Harbor area in New Hampshire.
NOAA collected Long Island Sound topobathymetric lidar data in four blocks between March and October 2023 using NV5's Leica Chiroptera/Hawkeye systems. The final classified data were transformed to orthometric height and used to create Digital Elevation Models in Cloud Optimized GeoTIFF format. The DEMs have a 1-meter pixel resolution.
NOAA National Geodetic Survey collected these LIDAR topographic data on June 8, 2008, using an OPTECH ALTM system. The NOAA Office for Coastal Management processed the data to bare earth and classified water points. The data is stored in LAS format files.
A 2021 lidar point cloud dataset covering approximately 225 square miles along the shores of Tampa Bay, Florida. The data were collected by Dewberry using a CZMIL Nova system between January 26 and February 27, 2021, and include 3,180 tiles. Points are classified into categories such as ground, water surface, bathymetric bottom, and submerged objects.
2021 NOAA NGS Topobathy Lidar: Gloucester, MA data were collected by the National Oceanic and Atmospheric Administration National Geodetic Survey using a Leica Chiroptera 4X system. The acquisition period spanned from July 29, 2021, to August 14, 2022. The data are provided in LAS 1.4 format and include points classified as ground, water surface, bathymetric points, and submerged features according to ASPRS standards.
Lidar point cloud data for Southern Lake Champlain, New York, collected by the NOAA National Geodetic Survey between September 16 and October 21, 2021. The data includes topographic and bathymetric measurements classified according to ASPRS standards, such as ground, water surface, and submerged features. It may also include lidar intensity values.
Lidar data classified into nine distinct categories, including ground, water surface, and submerged objects, in accordance with ASPRS standards. The National Oceanic and Atmospheric Administration collected this data via airplane using a Leica Hawkeye4X system. Acquisition occurred from November 3, 2022, through February 5, 2023, covering the area from Bethany Beach to Chincoteague, Maryland.
2011 NOAA National Geodetic Survey lidar data collected for Fire Island, New York, and Cape May to Absecon Inlet, New Jersey. The data includes topographic point clouds in LAS 1.2 format, classified as unclassified, ground, and water, along with lidar intensity and encoded RGB values. Fire Island data was collected on November 25, 2011, and the New Jersey data was collected on July 16, 2011.
Level-2 geolocated surface elevation and canopy height data were collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite. The dataset provides processed measurements from the LVIS instrument. The data provider is the NSIDC_CPRD organization.
LVIS Classic L2 Geolocated Surface Elevation and Canopy Height Product V001 contains Level-2 geolocated surface elevation and canopy height measurements. Data was collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite. The dataset is provided by the NSIDC_CPRD organization.
UAV-OBB is a dataset for vehicle detection collected from drones. The dataset likely contains aerial imagery intended for smart city traffic monitoring applications. Its author, organization, and specific size are unknown.
A dataset for detecting airplanes, likely using imagery from drones and potentially a source named Baird. It is hosted on the Kaggle platform. The specific scale, collection method, and time period are not detailed in the available metadata.
MUUFL Gulfport is a campus-scale dataset containing co-registered hyperspectral and LiDAR data. The data is labeled for 11 urban land cover classes. The dataset was sourced from Kaggle, but the author, organization, and specific collection details are not provided.
Orthophotography was captured as part of the 2021 NI 3D Coastal Survey. Coverage extends across the entire Northern Ireland coastline, including the intertidal area, and extending approximately 200 meters landward of the high water mark. Colour Infrared orthophotography imagery was captured with a 10cm resolution.
Four high-resolution RGB unmanned aerial vehicle images capture European beech forests in Germany's Rhӧn Biosphere Reserve from September 2020. The dataset, with approximately 3cm pixel size and an associated 10cm digital elevation model, was collected to analyze individual tree and stand-level canopy damage following an extreme 2018/2019 drought. The work was supported by the Natural Environment Research Council.