This resource provides bulk downloads of point cloud data from datasets hosted by OpenTopography. It is designed for advanced users seeking to download large amounts of data quickly and who have the bandwidth, expertise, and software necessary to manage the gigabytes of data available. We expect that users accessing bulk data have the ability to automate downloads using AWS Command Line Interface or other compatible GUI clients.
- Bulk Download using AWS Command Line Interface [AWS CLI version 2 installation instructions]
List all files example:
aws s3 ls s3://raster/CA24_Volcan/ --recursive --endpoint-url https://opentopography.s3.sdsc.edu --no-sign-request
Download files example:
aws s3 cp s3://raster/CA24_Volcan/ . --recursive --endpoint-url https://opentopography.s3.sdsc.edu --no-sign-request
- Bulk Download using CyberDuck
Once Cyberduck is installed, use S3 (HTTPS) connection protocol with the following information:
Server: opentopography.s3.sdsc.edu
Port: 443
Access Key ID: raster
Secret Access Key: raster-1B7Kvi
Path: /raster/CA24_Volcan
By accessing data via OpenTopography you agree to acknowledge OpenTopography and the dataset source as specified in the dataset metadata and on
OpenTopography's data acknowledgement page in publications, presentations, and other materials produced using these data.
Please
contact us if you have questions.
This dataset was collected to provide high-density, contemporary ground-truth data on 3D vegetation structure in the fire-prone montane ecosystems of Southern California. It served as a benchmark for developing and validating deep learning models designed to enhance sparse, historical airborne light detection and ranging (lidar) data by fusing it with multi-temporal optical National Agriculture Imaging Program (NAIP) and L-band synthetic aperture radar (UAVSAR) imagery for applications in ecological modeling and land management.