The RADD alerts are implemented in Google Earth Engine. In the densely cloud covered tropics, this represents a major advantage for the rapid detection of small-scale forest disturbances such as subsistence agriculture and selective logging. The RADD (RAdar for Detecting Deforestation) alerts contribute to the World Resources Institute’s Global Forest Watch initiative in providing timely and accurate information to support a wide range of stakeholders in sustainable forest management and law enforcement activities against illegal deforestation. In touch and we will prioritise their release.Sentinel-1’s cloud-penetrating radar provides gap-free observations for the tropics consistently every 6 to 12 days. If you would like access to these more urgently please get Ground truth odometry in Tensorflow, PyTorch and in OpenCV. To aid development we also plan to provide optimised example parsers, dataloaders and usage for using the radar data and Optimised Deep Learning Data Loaders - coming soon… Avoids the need for manually selecting individual files for download from the website.The Oxford RobotCar Dataset SDK can be found here:īuilding on top of the base SDK we provide additional specialisations for the new dataset which can be found here: Ī python download script for the Oxford Radar RobotCar Dataset which: Updated BuildPointcloud and build_pointcloud.py for handling newly included Velodyne HDL-32E data.Updated extrinisics for new sensors ( radar.txt, velodyne_left.txt, velodyne_right.txt).Example Velodyne data viewers - PlayVelodyne and play_velodyne.py.Example radar data viewiers - PlayRadar and play_radar.py.Converting raw Velodyne sensor data into a pointcloud - VelodyneRawToPointcloud and velodyne.velodyne_raw_to_pointcloud.Converting polar radar data to Cartesian form - RadarPolarToCartesian and radar.radar_polar_to_cartesian.Parsing binary Velodyne data - LoadVelodyneBinary and velodyne.load_velodyne_binary.Parsing raw Velodyne data - LoadVelodyneRaw and velodyne.load_velodyne_raw.Parsing raw Radar data - LoadRadar and radar.load_radar.Loading and displaying data, including Bayer demosaicing and undistorting images, the SDK now includes MATLAB and Python So in addition to previously available MATLAB and Python functions for The original Oxford RobotCar Dataset SDK.

The core software needed to parse data in the Oxford Radar RobotCar Dataset, as well as example usage, has newly been included in

Download radar