Our 2025 open photogrammetry data release offers the entire data archive (~100 GB), processed from over 1 TB of images, providing high-resolution, time-series records of built structures and vegetations. This release builds on our 2024 work with a more streamlined, reproducible processing workflow. All datasets are using the EPSG 32614 projection.

The open data archive includes:

1. Georeferenced point clouds: dense 3D reconstructions (.las) from photogrammetry data

2. Derived Digital Surface Model (DSM) rasters: gridded (.geotiff) elevation surfaces representing the “height” of visible ground elements (trees, buildings, etc.)

3. Orthorectified true colour (RGB) and multispectral (near infrared, red, red edge, green) mosaics: stitched, georeferenced imagery (.geotiff) for computing spectral indices (e.g., NDVI).

The open data covers UM’s Fort Garry campus (one complete scan in 2024, and monthly scans of its core area from May to November in 2025), the Sylvan Studio site (2025), Southwood Circle development area, Kings Park (2024), and Transcona Bioreserve (2024).

We hope these open datasets can support both remote sensing research by offering large training data samples, and design-informed landscape analysis and representations by enabling measurement, visualization, and comparison of fine-scale change over time, from canopy growth and seasonal dynamics to ground surface variation, site disturbance, and the performance of interventions.

URLs to access these datasets are at the bottom of this page.

Acknowledgement: This release will not be possible without the trust and support of the SIEF grants and its committee (#2023-23 and #2024-14), the URA program, and the University of Manitoba Grex High Performance Computing Centre (RRID:SCR_026342).