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Cloud-based Multi-spectral Image Processing for Forest Stand Health Assessment XRPA 1300

Intro to Forest Health Quantification Using RPAS Course

Course details

​Students will learn how to convert overlapping, photogrammetric images into point-clouds and derive output geospatial data such as 3D models, digital surface and terrain models and orthomosaics. An overview of geo-spatial forest health metrics is provided followed by the basics of how those metrics are computed using raster multi-layer analysis in a GIS system. In the final module, students get practical, hands-on experience with analysing multi-spectral data for the purpose of forest health assessment using GIS.

Prerequisite(s)

  • No prerequisites are required for this course.

Credits

1.0

Cost

$227.83

Course offerings

Winter 2023

Below is one offering of XRPA 1300 for the Winter 2023 term.

CRN 90094

Duration

Mon Mar 13 - Sat Mar 18 (4 days)

  • 4 days
  • CRN 90094
  • $227.83
Class meeting times
Dates Days Times Locations
Mar 13 - Mar 18 Mon, Wed, Fri 08:30 - 11:30 Online
Mar 13 - Mar 18 Sat 12:30 - 15:30 Burnaby
Instructor

TBD

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$227.83

Important information
  1. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  2. The field lab on Saturday for this course will take place at the BCIT Burnaby Campus.
Status

Cancelled

This course offering has been cancelled. Please check back next term or subscribe to receive email updates.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Demonstrate the ability to process multi-spectral images to create point-clouds, DSM's and orthomosaics.
  • Generate various spatial data layers suitable for the quantification of forest health.
  • Identify the different types of forest health metrics.
  • Describe which type of forest health metric is suitable for analysis using multi-spectral image analysis.
  • Understand basics of multi-layer image analysis using QGIS.
  • Demonstrate the ability to combine appropriate geo-spatial layers to create a particular forest health metric.
  • Reclassify forest health metric into a forest health index map.
  • Appraise the validity of forest health maps using ground truth data.
  • Apply techniques to generate a multi-spectral forest health index map.

Effective as of Winter 2022

Related Programs

Cloud-based Multi-spectral Image Processing for Forest Stand Health Assessment (XRPA 1300) is offered as a part of the following programs:

School of Construction and the Environment

  1. Introduction to Forest Health Quantification with RPAS
    Microcredential Part-time

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