Sedgwick Reserve: LiDAR Data Directory

This directory contains a structured collection of laser scanning data for the Sedgwick Reserve 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

Additional Info

Field Value
Last Updated March 11, 2026, 06:24 (UTC)
Created March 11, 2026, 06:03 (UTC)
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-sedgwick
issueDate 2026-01-25
lang en
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