DOI: https://doi.org/10.5069/G9BP011S OT Collection ID: OT.022026.32610.1 OT Collection Name: Monitoring Tree Water Stress, CA 2025 Short Name: CA25_Allen Collection Platform: Airborne Lidar ---------------------------------------------------------- Download and Access Products: 1. Point Cloud Data opentopoID: OTLAS.022026.32610.1 Data Processing: https://portal.opentopography.org/lidarDataset?opentopoID=OTLAS.022026.32610.1 2. Raster opentopoID: OTSDEM.022026.32610.1 Data Processing: https://portal.opentopography.org/raster?opentopoID=OTSDEM.022026.32610.1 ---------------------------------------------------------- Collection Overview: This lidar dataset was collected as part of an NCALM Seed grant for Jean Allen at the California State University, Santa Barbara. This lidar collection was used to quantify Leaf Area Index, and combined with hyperspectral data, quantify the ongoing changes in canopy architecture and oak mortality that has occurred at the Dangermond and Sedgwick Reserves since 2018. Publications associated with this dataset can be found at NCALM's Data Tracking Center Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-2324629 Dataset Citation: Allen, J. (2026). Monitoring Tree Water Stress, CA 2025. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9BP011S. Accessed 2026-02-25 Use License: CC BY 4.0 Dataset Keywords: lidar, ecology, Dangermond, Sedgwick,hydrology Survey Date: 08/14/2025 - 08/16/2025 Publication Date: 02/24/2026 ---------------------------------------------------------- Data Provider and Roles: 1. California State University Role: Principal Investigator Url: Not Available. 2. National Center for Airborne Laser Mapping Role: Collector Url: https://ncalm.cive.uh.edu/ 3. National Science Foundation Role: Funder Url: https://nsf.gov/ ---------------------------------------------------------- Total Number of Points: 1,415,364,223 pts Area: 64.95 km^2 Point Density: 21.79 pts/m^2 Classifications: Class 1 - Unclassified: 473,812,970 Class 2 - Ground: 941,446,846 Class 7 - Low Point (low noise): 104,407 Coordinates System: Horizontal: WGS84 (ITRF2020) 2025.6178 epoch / UTM Zone 10N Meters [EPSG: 32610] Vertical: WGS84 (Ellipsoid) Survey Report: https://object.cloud.sdsc.edu:443/v1/AUTH_opentopography/www/metadata/CA25_Allen_metadata.pdf LAS Validation Data Report: https://portal.opentopography.org/lasReport?opentopoID=OTLAS.022026.32610.1 ---------------------------------------------------------- Dataset Boundary in GeoJSON Format: Point Cloud: https://raw.githubusercontent.com/OpenTopography/Data_Catalog_Spatial_Boundaries/main/OpenTopography_Point_Cloud_Lidar/CA25_Allen.geojson Raster: https://raw.githubusercontent.com/OpenTopography/Data_Catalog_Spatial_Boundaries/main/OpenTopography_Raster/CA25_Allen.geojson Dataset Extent (Bounding Box): North: 34.748028° South: 34.438659° East: -119.999966° West: -120.494915°