{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["000:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org"}, "description": "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.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99P2ZV5", "mediaType": "text/html", "title": "OpenTopography Data Download Page"}], "identifier": "OT.042026.32611.1", "keyword": ["Canopy structure", "Forest inventory", "Montane ecosystem", "Oak woodland", "Peninsular Range", "Southern California", "UAV Lidar", "Vegetation structure", "Wildfire fuel mapping", "chaparral", "point cloud"], "license": "https://creativecommons.org/licenses/by/4.0", "modified": "2026-04-18", "programCode": ["000:000"], "publisher": {"@type": "org:Organization", "name": "OpenTopography"}, "spatial": "-116.61,33.12,-116.59,33.14", "title": "UAV Lidar Survey of Volcan Mountain Wilderness Preserve, CA 2024"}