Below I share some of the work going on in the geo-spatial world at the Hakai Institute. Some of the posts are for testing products for future development and some are to highlight early findings from the field. The main goal of the mapping team is to assist and enhance spatial knowledge for long term research programs at the Hakai Institute.
If you are looking for some of our finished mapping products or data click here.
If you are a Hakai Institute affiliate and would like a map - please fill out this form.
If you have any questions please contact me at keith.holmes@hakai.org.
Thursday
Oct272016

Canopy Height Model Test

Monday
Oct242016

Wizard Island Tidal Pools

Wednesday
Oct122016

West Beach Dunes - 1965 to 2012

Thursday
Mar242016

Hakai Institute Research  

Find information about my current work here.

Hakai Geospatial Technology Page

Find blogs about Hakai Institute research I am involved with here.

Hakai Institute Geospatial Technology Blog

Thursday
Jan072016

Sensor Network Test Jan 7th, 2016

Tuesday
Nov242015

Web Map App Test - Hakai Telemetry Network

Wednesday
Nov042015

Web Map App Test - Kwakshua Watersheds Program

Wednesday
Nov042015

Web Map App Test - Forests of the Central Coast

Tuesday
Oct132015

Web Map App Test - Geomorphology

Thursday
Sep102015

Koeye River - Complete Helicopter Based Imagery

 

Monday
Sep072015

UAV Imagery Capture and Processing Methodology

Below is the basic process we have been using to fly and process UAV imagery. 1) Set up control points using a DGPS. These can be targets placed out before flight or opportunistic points which can be gathered before or after the flight. Control points are distributed throughout the entire site and x y accuracy is roughly 2-15 cm depending on soaking time and conditions in the field. 2) Fly the UAV in a grid pattern to cover the study area with ~ 80-90% overlap in imagery. Maximum area covered in one flight is roughly 1.5 km x 1.5 km at 300 meter flight elevation. 3) Take the imagery back to the lab and process it. A number of programs are used such as Adobe Lightroom to reduce image distortion and Autostitch to mosaic the images together. 4) Find the DGPS control points in the imagery and 5) georeference to the DGPS points gathered in the field – transformation type may need to be assessed per image basis, but spline has been the most successful so far. 6) A complete georeferenced orthophoto is complete and ready for use in ecosystem mapping, object based image classification, or overlaid with your field data points as a basemap.

Basic timetable breakdown for each step for a single flight (1.5 km x 1.5 km swath):

1)  Field control points ~ 1 hour

2)  Flight ~ 20 minutes

3)  Processing ~ 3 hours

4&5)  Georeferencing ~ 1 hour

Sunday
Sep062015

Koeye River - September 5th - UAV Imagery

The map below displays a 237 image mosaic of the lower reach of the Koeye River on the Central Coast of British Columbia. Images were captured with a UAV in a brief break in the weather. The lower estuary is currently being processed and will line up well with our ecosystem mapping colleagues.

Friday
Sep042015

McMullin Islands - September 4th, 2015

McMullin Islands - Central Coast of British Columbia.

One Flight - 204 Images - 2 km x 1 km Coverage - 1.4 Meter Tide.

 

Tuesday
Sep012015

Drone Mapping - A Sample of Things to Come.

Tuesday
Sep012015

Running the Gauntlet - Hakai Salmon Research Program Video