Aerial Imagery and Point Cloud Data for Slash Pile Quantification
01 November, 2025
Section 1 Introduction
Code in support of “Aerial Imagery and Point Cloud Data for Slash Pile Quantification”
1.1 Objective
The objective of this study is to demonstrate the use of aerial point cloud data (from SfM photogrammetry) and RGB imagery to identify and quantify slash piles.
1.2 Data
We have remote sensing data acquired from a UAS platform and accompanying ground truth data for two different study sites. For both study sites we have:
- Aerial RGB imagery captured by a UAS platform
- Aerial point cloud data generated by processing the UAS imagery using structure from motion (SfM) photogrammetry techniques
- Field-collected slash pile point locations with height and diameter measurements for use as ground truth data
- Image-annotated slash pile perimeters digitized in a Geographic Information System (GIS) using field-collected point locations as a guide overlaid on the UAS-collected RGB imagery
Data from one study site will be used as training data to build and test the slash pile detection and quantification framework. Data from the other study site will be used to validate the method based on learnings from the training data testing and analysis.
Training Data Manitou site description and data collection overview
Validation Data Dawson site description and data collection overview