Calaveras Big Trees State Park: LiDAR Data Directory

This directory contains a structured collection of laser scanning data for the Calaveras Big Trees State Park study site. It provides a multi-scale structural record by integrating ground-level Terrestrial Laser Scanning (TLS) data with landscape-scale Airborne Laser Scanning (ALS) data.


The directory is organized into specific sub-folders to support different stages of the research workflow:


  • Full Project Archive (.zip): A single compressed file containing the entire directory structure and all associated resources for offline use.
  • ALS Directory: Aerial LiDAR data providing the topographic and landscape-level baseline.
  • Original TLS Directory: Raw, high-resolution terrestrial scans (.ptx) in their original sensor coordinate system.
  • Transformations Directory: Georeferencing parameters and matrices used to align terrestrial scans to the global ALS coordinate system.
  • Aligned TLS Directory: Processed terrestrial point clouds (.laz) that have been spatially corrected and are ready for integrated analysis.
  • Merged & Subsampled Products: Site-wide point clouds, including a performance-optimized 1mm subsampled version for high-efficiency modeling.


Description created in assistance with Gemini.

Data and Resources

Field Value
creationMethod <p>Individual terrestrial laser scans (TLS) were aligned to a georeferenced airborne LiDAR (ALS) baseline using Cloud-to-Cloud (C2C) registration. The resulting point clouds were merged, spatially filtered to a 1mm subsampled density, and compressed into LAZ format for analysis.</p>
dataAuthType public
dataType LAZ, PTX, TXT
datasetPageUrl https://wifire-data.sdsc.edu/nc/s/ucca-calaveras-big-trees
issueDate 2026-01-25
lastUpdateDate 2026-02-24
ndp_creator_md5 e22ccfac8fe6a68759e60ced39f231b9
pocEmail wifire@sdsc.edu
pocName UC Climate Action (UCCA) Project Team at San Diego Supercomputer Center, UC San Diego
purpose <p>To quantify fine-scale vegetation architecture and surface fuel characteristics. This directory facilitates "scaling up" ground-level observations (TLS) to landscape-level management units (ALS), allowing for the modeling of fire behavior, carbon sequestration, and habitat complexity.</p><p><br></p><p><strong><em>Purpose statement created in assistance with Gemini</em></strong>.</p>
status submitted
theme ["geospatial-science","forest-ecology"]
updateFreq As needed
uploadType dataset
Tags
  • als
  • burn-units
  • forest-structure
  • laz
  • lidar
  • point-cloud-data
  • ptx
  • tls
  • vegetation-analysis
isopen False
metadata_created 2026-10-30T16:12:47.974393
metadata_modified 2026-10-30T16:12:47.974397
notes <p>This directory contains a structured collection of laser scanning data for the Calaveras Big Trees State Park study site. It provides a multi-scale structural record by integrating ground-level Terrestrial Laser Scanning (TLS) data with landscape-scale Airborne Laser Scanning (ALS) data.</p><p><br></p><p>The directory is organized into specific sub-folders to support different stages of the research workflow:</p><p><br></p><ul><li><strong>Full Project Archive (</strong><code><strong>.zip</strong></code><strong>):</strong> A single compressed file containing the entire directory structure and all associated resources for offline use.</li><li><strong>ALS Directory:</strong> Aerial LiDAR data providing the topographic and landscape-level baseline.</li><li><strong>Original TLS Directory:</strong> Raw, high-resolution terrestrial scans (<code>.ptx</code>) in their original sensor coordinate system.</li><li><strong>Transformations Directory:</strong> Georeferencing parameters and matrices used to align terrestrial scans to the global ALS coordinate system.</li><li><strong>Aligned TLS Directory:</strong> Processed terrestrial point clouds (<code>.laz</code>) that have been spatially corrected and are ready for integrated analysis.</li><li><strong>Merged &amp; Subsampled Products:</strong> Site-wide point clouds, including a performance-optimized <strong>1mm subsampled version</strong> for high-efficiency modeling.</li></ul><p><br></p><p><strong><em>Description created in assistance with Gemini.</em></strong></p>
num_resources 12
num_tags 9
title Calaveras Big Trees State Park: LiDAR Data Directory