Have questions about your research?
We can help!
In 2018, UCLA became a member of the Los Angeles Region Imagery Acquisition Consortium (LARIAC) Program, which provides access to high-resolution aerial imagery of LA County, including:
- Orthogonal Imagery
- Oblique Imagery
- Building Outlines
- LIDAR-Derived Datasets, including Solar insulation, Tree Cover, Hillshade
- Access to viewing oblique imagery and software via EagleView CONNECTExplorer
LARIAC at Data Science Center
Currently, Data Science Center provides LARIAC 4 (2014) and LARIAC 5 (2017). LARIAC 6 (2020) will be available soon.
LARIAC 4 data contains:
1. Classified LiDAR–Folder contains an LAS file for each of the 13,810 project tiles.
2. Elevation Deliverables–Contains three additional deliverable products
- Breaklines GenerateFormat
- LARIAC 4 SLDS geodatabase
- Breakline Feature Dataset
- LARIAC DEM
- LARIAC DEM Hillshade
- LARIAC DSM
- LARIAC DSM Hillshade
- LARIAC Height Above Ground –
- LARIAC Intensity
- LARIAC Slope Degree
- LARIAC Slope Percent Rise
- Voids First Return
- Voids Ground
3. Ground Control–This folder contains the ground control points used by the data producer and is organized by block.
4. Metadata–This folder contains xml metadata for each product and is organized by block to account for the deliverables that were submitted that way.
5. Reports–This folder contains the final ground control report.
LARIAC 5 data contains:
The following is a guide on the structure of LARIAC data files: Descriptions of Delivery File Structure:
1. ECW–This folder contained the enhanced compression wavelet (ECW) files as compressed imagery mosaics.Within this folder the user will find 68 files named Block_XX.ecw.These are the 20:1 compressed mosaics that follow the Mosaic Grid shapefile that is also present in that folder.Additionally, an 80:1 compressed mosaic for the entire county is also included in this folder and is named LARIAC5_Countywide_ECW.
2. GDB–This folder contains a file geodatabase that stores 68 block mosaics (following the same mosaic grid shapefile as the ECW files) at their native resolution and without significant compression.These mosaics are stored in the GDB and have had additional overviews built with them for ease of loading into ArcGIS software.The mosaics are the full four band images (R,G,B,NIR) and can be displayed as Color Infrared through modifying the band combination in ArcGIS as well.
3. GEOTIFF–This folder contains the 1’ and 4” imagery files.These are the source files for creating all other imagery products.These are also in a 4-band format (R,G,B,NIR).
4. JPEG2000-Contains JPEG2000 compressed imagery at 10:1 compression ratio for the 1’ and 4” files.
5. Reports–Contains a text file directing the user to the LARIAC site for the final accuracy assessment report.
6. Shapefile–Contains the LARIAC5 tile index.
7. Building Shapefiles–These were not part of the SLDS participant deliverables as they were not available when the participant drives were being organized and delivered.These files can be retrieved from the LARIAC program site.
Accessing LARIAC at UCLA
Are you conducting research on an area within Los Angeles County? Interested in maps or getting a birds-eye view of Los Angeles? If you're interested in incorporating LARIAC in your research, pleaes see the instructions about how to download LARIAC data from Data Science Center: How to Access LARIAC data from Data Science Center. If you have any question, please send an email to email@example.com.
User Agreement & Attribution
See the following for details on LARIAC licensing and attribution
Events & Workshops
- 2018 October 30 - Overview of LARIAC Delivered Products: Presentation available here
Special thanks to our contributors
Through their research funding and generosity, the California Center for Sustainable Communities (CCSC) at
UCLA and the following research groups have made this resource available to the wider UCLA community:
Prof. Henry Burton, UCLA Department of Civil & Environmental Engineering
Prof. Timu W. Gallien, UCLA Department of Civil & Environmental Engineering
Prof. Dennis Lettenmaier, UCLA Department of Geography
Prof. Steve Margulis, UCLA Department of Civil & Environmental Engineering
With support of the UCLA Sustainable LA Grand Challenge and UCLA Data Science Center