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Robotics & Autonomous Systems

Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation

1,981 datasets

Robotics & Autonomous Systems

VCMP Sites - Shoreline Trends: Victorian Coastline Change 1988-2021

34 years of shoreline change data from 1988 to 2021, collected along Victoria's coastline. The dataset features short-term trends from drone surveys and long-term trends from satellite imagery, processed to a 30-meter transect framework. It is produced by the Victorian Coastal Monitoring Program under the Department of Energy, Environment and Climate Action.

Time SeriesGeospatialShoreline ChangeCoastal MonitoringSynthetic+1

Robotics & Autonomous Systems

Alluvial and Hillslope Gully Mapping – Digital gully mapping based on lidar data collected

2018-2019 lidar data collected from aircraft was used to map gully polygons across portions of the Burdekin, Fitzroy, and Normanby catchments. Griffith University developed methods to map gullies and estimate potential active erosion and total sediment volume. The dataset was created as part of the NESP TWQ 5.10 project to establish a baseline for erosion management impacting the Great Barrier Reef.

GeospatialPoint CloudBenchmarkHealthcareErosion MappingGeomorphologyWater QualitySynthetic+1

Robotics & Autonomous Systems

LiDAR Canopy Structure and Topography in Malaysian Borneo

LiDAR-derived canopy structure and topography maps cover the SAFE Project area, Maliau Conservation Area, and Danum Valley in Malaysian Borneo. The dataset includes 10 m resolution digital terrain models, 1 m resolution canopy height models, and 20 m resolution plant area density profiles and statistics, produced from a 2014 airborne survey. It supports research on forest biomass change, funded by the UK Natural Environment Research Council.

GeospatialPoint CloudEnvironmental scienceCarbon densityTropical ForestCanopy Structure+1

Robotics & Autonomous Systems

gbr100: High-Resolution Bathymetry for the Great Barrier Reef and Coral Sea

The gbr100 dataset is a high-resolution bathymetry and Digital Elevation Model (DEM) covering the Great Barrier Reef, Coral Sea and neighbouring Queensland coastline. Developed as part of the 3DGBR project, it integrates multibeam, singlebeam, lidar and satellite bathymetry source datasets. The grid has a pixel size of 0.001-arc degrees (~100m) with a horizontal datum of WGS84 and a vertical datum of Mean Sea Level.

GeospatialZIPGreat Barrier ReefComputer VisionDigital Elevation ModelMarine GeomorphologyBathymetry+1

Robotics & Autonomous Systems

gbr100: High-Resolution Bathymetry for the Great Barrier Reef and Coral Sea

gbr100 is a high-resolution bathymetry and Digital Elevation Model covering the Great Barrier Reef, Coral Sea, and Queensland coastline. The dataset has a grid pixel size of 0.001-arc degrees (~100 meters) and was developed by the 3DGBR project, integrating multibeam, singlebeam, lidar, and satellite bathymetry sources. It provides new insights into seabed geomorphic shape and improves upon the current Australian Bathymetry and Topography Grid.

GeospatialZIPGreat Barrier ReefComputer VisionDigital Elevation ModelMarine GeomorphologyBathymetry+1

Robotics & Autonomous Systems

LIDAR Elevation Models for Belfast City, 2006 Survey

Belfast City is covered by Digital Terrain and Surface Models derived from an airborne LIDAR survey conducted on 18th March 2006. The data is provided in 1km x 1km tiles with a 0.5m x 0.5m grid resolution in ESRI GRID ASCII and SHP formats. Cyient Europe Ltd holds the copyright, and the Department of Infrastructure publishes it under the Open Government Licence.

GeospatialPoint CloudTerrainElevation ModelsComputer VisionBelfast+1

Robotics & Autonomous Systems

GEDI LIDAR Global Canopy Top Height Estimates for 2019 and 2020

Filtered canopy top height (RH98) estimates derived from GEDI L1B LIDAR waveforms. The data covers the globe between 51.6° north and south latitude for April through July of 2019 and 2020. Nico Lang and colleagues from ETH Zurich produced this dataset, which is associated with a 2021 publication.

GeospatialPoint CloudCanopy HeightForestry+1

Robotics & Autonomous Systems

Global Canopy Top Height Estimates from GEDI LIDAR for 2020

Global canopy top height estimates derived from GEDI L1B LIDAR waveforms collected between April and July 2020. The data, produced by researchers from ETH Zurich, provides footprint-level predictions of the RH98 metric for latitudes between 51.6° North and South. It is stored in HDF5 files corresponding to the original GEDI orbit files.

GeospatialPoint CloudEnvironmental scienceForest Canopy HeightGlobal Scale+1

Robotics & Autonomous Systems

GEDI RH98: Global Forest Canopy Height Map for 2019

Global canopy top height (RH98) estimates derived from GEDI LIDAR waveforms between 51.6° N and S. The dataset provides both sparse footprint-level predictions and a dense 0.5-degree resolution raster map, based on data from April to July 2019. It is intended for research in forestry, ecology, and carbon cycle modeling.

GeospatialPoint CloudCanopy HeightEnvironmental science+1

Robotics & Autonomous Systems

VCMP Sites - Shorelines: Victorian Coastline Monitoring Data

Victoria's coastline features shorelines from the Victorian Coastal Monitoring Program, represented as polyline data. The dataset combines short-term drone survey outputs with long-term satellite-derived shorelines from Digital Earth Australia for the period 1988 to 2021. It is provided by the Department of Energy, Environment and Climate Action and was last updated in June 2026.

GeospatialSatellite ImageryShoreline ChangeDrone SurveyCoastal MonitoringSynthetic+1

Robotics & Autonomous Systems

NESP TWQ 5.10: High-Resolution Gully Maps from LiDAR for the Great Barrier Reef

At least 40% of accelerated erosion affecting the Great Barrier Reef's water quality originates from gullies. This dataset contains automated high-resolution gully maps and classifications derived from LiDAR Digital Elevation Models, developed under the NESP TWQ Project 5.10 in 2019-2020. The Australian Ocean Data Network hosts the data, which includes PNG and HTML files.

GeospatialPoint CloudGreat Barrier ReefGully MappingErosion+1

Robotics & Autonomous Systems

NESP MaC Project 1.29 d: Survey on UAV Adoption Barriers in Conservation (2022)

Survey data from conservation professionals regarding barriers to adopting Unmanned Aerial Vehicles for environmental management. The dataset is associated with the NESP Marine and Coastal Hub small-scale study and was published in 2022. Planned outputs include a manuscript publication and a summary information sheet.

TextConservation ManagementUav DronesEnvironmental monitoringSurvey DataTechnology Adoption+1

Robotics & Autonomous Systems

NESP TWQ Project 5.10: High-Resolution Gully Maps from LiDAR for the Great Barrier Reef

NESP TWQ Project 5.10 developed automated tools for mapping gullies from LiDAR Digital Elevation Models (DEMs) to aid in managing erosion affecting the Great Barrier Reef. The project, associated with the Australian Ocean Data Network, aimed to create high-resolution maps with gully classification attributes. The dataset was last updated on 2026-07-16.

ImageGeospatialPoint CloudGully MappingErosion+1

Robotics & Autonomous Systems

WFD River Water Body Catchments: Cycle 3 Classification 2019

2019 classification data for Water Framework Directive (WFD) River Water Body Catchments, including coastal catchments for areas draining directly to the sea. The polygon dataset defines land areas where surface run-off flows to a specific point in a watercourse or coastal water. It provides attribution for the 2019 classification results and was created using hydrological models based on Environment Agency LiDAR data.

GeospatialZIPWater managementRiver CatchmentsGeospatial HydrologyWater Framework DirectiveCoastal CatchmentsEnvironmental Classification+1

Robotics & Autonomous Systems

Historic Environment Division Lidar: Northern Ireland Archaeological Landscapes

Historic Environment Division (HED) Lidar data consists of airborne laser scanning surveys conducted from 2008 to 2014 to assist with the interpretation and protection of archaeological landscapes in Northern Ireland. The data covers approximately 130 square kilometers across 39 sites and is provided as digital surface models (DSM) and digital terrain models (DTM) with ground features like buildings and vegetation removed. The laser scanning technique provides high vertical accuracy of 0.5cm, enabling the identification of subtle topographic traces of archaeological features.

GeospatialPoint CloudZIPArchaeological SurveyNorthern IrelandDigital Terrain Model+1

Robotics & Autonomous Systems

Historic Environment Division Lidar 2008: Northern Ireland Archaeological Surveys

Approximately 130 square kilometers of Northern Ireland were surveyed using airborne LIDAR in 2008 to assist with archaeological interpretation. The data, provided as digital surface or terrain models, was collected by the Historic Environment Division over a six-year period starting in 2008. Laser pulses measured ground distance 100,000 times per second with a vertical accuracy of 0.5 centimeters.

GeospatialPoint CloudZIPNorthern IrelandArchaeology+1

Robotics & Autonomous Systems

Historic Environment Division Lidar 2012

From 2008 to 2014, the Historic Environment Division (HED) acquired LIDAR data to assist with the interpretation and protection of archaeological landscapes in Northern Ireland. This specific dataset was collected in 2012, covering approximately 130km2 across 39 sites, and is provided as digital surface or terrain models under an Open Government Licence. The data is made available by OpenDataNI.

GeospatialPoint CloudZIPNorthern IrelandArchaeology+1

Robotics & Autonomous Systems

Historic Environment Division Lidar 2013: Northern Ireland Archaeological Landscapes

130 square kilometers of Northern Ireland were surveyed using airborne LIDAR in 2013 to assist with the interpretation and protection of archaeological landscapes. The Historic Environment Division acquired this data over a six-year period from 2008 to 2014 across 39 sites. Surveys are supplied as digital surface models (DSM) or digital terrain models (DTM) with vegetation and buildings removed.

GeospatialPoint CloudZIPNorthern IrelandArchaeology+1

Robotics & Autonomous Systems

Lough Neagh Environs Terrain and Surface Elevation Models from 2017 LIDAR

Airborne LIDAR survey systems captured terrain and surface elevation data for the Lough Neagh area in April 2017. Data is provided in large LAS and ASCII format files, with tiles grouped into four quadrant groups covering 1km x 1km areas. The dataset is published by OpenDataNI under the OGL-UK-3.0 license but is not officially supported.

GeospatialPoint CloudDigital Terrain ModelComputer VisionUk GeospatialElevationDigital Surface Model+1

Robotics & Autonomous Systems

ACT Canopy Cover Map 2020: Canberra Tree Coverage from LiDAR

Canberra's 2020 tree canopy cover is estimated at 22.5%. The map uses LiDAR data captured by Aerometrex and the ACT Government to show vegetation above 3 meters at a 1-meter resolution. This canopy cover data product is available in the ACT Government's Open Data Geospatial Catalogue.

GeospatialPoint CloudTreeTree CanopyCanopyClimateUrban ForestCanopy coverConservationConnectivityCoolingHabitatActEnvironmentUrbanShadeLiving Infrastructure+1

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