Monitoring Tree Water Stress, CA 2025
Welcome Guest ( Sign In )
Temporary Embargo: This dataset is presently under a temporary embargo. This may be because the dataset is awaiting final approval for release, is associated with a forthcoming publication, or is sensitive in nature and an embargo has been approved by the National Science Foundation. If you have been granted permission or if you want to request access to this dataset, please log in. Please send questions or comments to: info@opentopography.org
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
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:
| Point Cloud Data | opentopoID: OTLAS.022026.32610.1 | ||
| Raster Data | opentopoID: OTSDEM.022026.32610.1 |
Collection Overview:
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 Copied to Clipboard
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
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 Copied to Clipboard
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:
Funder Collector Principal Investigator
Funder Collector Principal Investigator
- Jean Allen - California State University
Total Number of Points:
1,415,364,223 pts
Area: 64.95 km2
Point Density: 21.79 pts/m2
Classifications:
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: WGS84 (ITRF2020) 2025.6178 epoch / UTM Zone 10N Meters [EPSG: 32610]
Vertical: WGS84 (Ellipsoid)
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 64.95 km2
Point Density: 21.79 pts/m2
Classifications:
| Class 1 - Unclassified | 473,812,970 |
| Class 2 - Ground | 941,446,846 |
| Class 7 - Low Point (low noise) | 104,407 |
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: WGS84 (ITRF2020) 2025.6178 epoch / UTM Zone 10N Meters [EPSG: 32610]
Vertical: WGS84 (Ellipsoid)
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Tile Index in Shapefile Format:
Download
Dataset Boundary in GeoJSON Format:
Point Cloud: CA25_Allen.geojson
Raster: CA25_Allen.geojson
Dataset Extent (Bounding Box): North: 34.748028° South: 34.438659° East: -119.999966° West: -120.494915°
Dataset Boundary in GeoJSON Format:
Point Cloud: CA25_Allen.geojson
Raster: CA25_Allen.geojson
Dataset Extent (Bounding Box): North: 34.748028° South: 34.438659° East: -119.999966° West: -120.494915°