Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation-Reference-Cited by-同舟云学术

Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation

Published:2024-09-12 Issue:1 Volume:50 Page:
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Berman Ethan E.¹^ORCID,Coops Nicholas C.¹^ORCID,Robere-McGugan Geordie²,Sinclair Ian²,McCartney Grant³,Achim Alexis⁴^ORCID

Affiliation:

1. Department of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BCV6T 1Z4, Canada

2. Forest Resources Inventory Unit, Ontario Ministry of Natural Resources and Forestry, Whitney Block 6th Flr Rm 6630, 99 Wellesley St W, Toronto, ONM7A 1W3, Canada

3. Forsite Consultants Ltd, 330 42nd St SW, Salmon Arm, BC, Canada

4. Département des Sciences du bois et de la forêt, Université Laval, Sainte-Foy, QCG1K 7P4, Canada

Funder

Forestry Futures Trust Ontario

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2024.2391319

Reference71 articles.

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