Ancient Forest Wetlands, BC - Upper Fraser River - 2019 - Airborne Coastal Observatory

Ancient Forest Wetlands Survey conducted on Aug 29th 2019. Contained within this report are details regarding the project specifications, overall data accuracy, and deliverables. A survey acquisition of LiDAR and orthoimagery was carried out over Ancient Forest/Chun T'Oh Whudujut Provincial Park to generate a high-res DEM of several wetland complexes and their surrounding topography. The DEM is being used to support a project mapping the hydraulic gradient throughout the year in the wetlands in an effort to determine how significant snowmelt recharge is for these ecosystems. Hakai Institute’s Airborne Coastal Observatory (Hakai ACO) conducted an aerial survey of 14.95km2 approximately 93km south-east of the Prince George Airport over the Ancient Forest / Chun T’oh Whudujut Provincial park. The survey commenced on Aug 29th 2019 and finished on the same date. Data collected includes: LiDAR, 4 band digital imagery, and Inertial Navigation System (INS) data Using combined GNSS and Inertial Movement Unit (IMU) data, the Hakai geospatial group calculated aircraft attitude and position, and incorporated laser range data to resolve spatial surface information. The flight consisted of 8 parallel passes over the Ancient Forest/ Chun T’oh Whudujut Provincial Park and the INS positional data was processed immediately after the completion of the project. Previous calibration flights allowed Hakai’s geospatial group to calibrate the roll, pitch, and heading of the system and refine the acquired spatial data. Aircraft position data was processed using an Applanix CenterPoint RTX solution by combining multiple continuous operating GNSS base stations to generate a set of observations as base stations to post-process Differential GNSS processing. The aerial survey combined with previously flown calibration flights aided in resolving and validating vertical elevations and geo-referenced aerial photos. Hakai Institute’s geospatial team completed all data acquisition, data post-processing and quality analysis. Geodetic Parameters Horizontal Datum: NAD83 (CSRS) Epoch: 2010.00 Vertical Datum: CGVD2013 Geoid: CGG2013a Projection: UTM Zone 10 N Units: Metres Point Specification Aggregated Nominal Point Density (ANPD): 7.3 pts/m2 Aggregated Nominal Ground Point Density (ANGPD): 2.71pts/m2 Orthophoto Resolution: 7.4 cm pixel resolution Data products available: Lidar data (LAZ)- classified point cloud – digital surface model – digital terrain model. Image data (TIFF) – 4 band orthophotos – RGB & NIR. Hyperspectral data (not always captured). A detailed project report with the summary of acquisition, processing, and overall hardware / software is available (PDF). Sensors and instrument breakdown: Inertial Navigation System: Manufacturer: Applanix (Canada), IMU Model: POS AV 510 IMAR, GNSS Model: Trimble AV39. Laser sensor: Riegl LMS-Q 780 long-range airborne laser scanner. Point density ranges per project and landscape from 1-12 points per square meter. Aerial cameras: two fully integrated Phaseone Industrial iXU-RS1000 medium format cameras, resolution: 100MP, lens: 50mm f/4.0 Rodenstock. Hyperspectral Sensor: manufacturer: Specim, model: AisaFENIX 384, spectral range: 380 - 2500 nm

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Licence: Creative Commons Attribution 4.0
Limitations: Appropriate credit must be given to Hakai Institute and the authors of the dataset.

Data and Resources


Metadata Reference Date(s) September 14, 2021, 20:19 (UTC) (Revision)
September 22, 2021, 00:00 (UTC) (Publication)
Dataset Reference Date(s) August 29, 2019 (Creation)
October 31, 2019 (Publication)
Frequency of Update As Needed


Dataset extent

Map data © OpenStreetMap contributors

Additional Info

Field Value
Ocean Variables Other
Scope Dataset
Status On Going
Topic Category oceans
Maintenance Note Generated from
Point of Contact
  • Name: Geospatial Technology Team
    Affiliation: Hakai Institute
    Contact Info Email:
    Role: Custodian
Responsible Party
  • Individual Name: Geospatial Technology Team
    Organisation Name / Affiliation: Hakai Institute
    Contact Info Email:
    Role: Owner
Spatial Extent {"type": "Polygon", "coordinates": [[[-121.3, 53.79], [-121.2, 53.79], [-121.2, 53.84], [-121.3, 53.84], [-121.3, 53.79]]]}
North Bounding Latitude 53.84
South Bounding Latitude 53.79
East Bounding Longitude -121.2
West Bounding Longitude -121.3
Temporal Extent Begin: 2019-08-29
End: 2019-08-29
Vertical Extent Min: 0.0
Max: 500.0
Default Locale English
Citation identifier
Associated Datasets