Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region-Reference-Cited by-同舟云学术

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Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region

Published:2024-02-23 Issue: Volume: Page:1-17
ISSN:0701-1784
Container-title:Canadian Water Resources Journal / Revue canadienne des ressources hydriques
language:en
Short-container-title:Canadian Water Resources Journal / Revue canadienne des ressources hydriques

Author:

Beaton Andy D.¹²^ORCID,Metcalfe Robert A.¹³,Buttle James M.⁴,Franklin Steven E.⁴

Affiliation:

1. Environment and Life Sciences, Trent University, Peterborough, ON, Canada

2. Surface Water Monitoring Centre, Ministry of Natural Resources and Forestry, Peterborough, ON, Canada

3. Aquatic Research and Monitoring Section, Ministry of Natural Resources and Forestry, Peterborough, ON, Canada

4. School of Environment, Trent University, Peterborough, ON, Canada

Funder

Canada–Ontario Agreement Fund

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07011784.2024.2312301

Reference81 articles.

1. Application of Satellite Microwave Images in Estimating Snow Water Equivalent1

2. A comparison between photogrammetry and laser scanning

3. Potential impacts of a warming climate on water availability in snow-dominated regions

4. Investigating snowpack across scale in the northern Great Lakes–St. Lawrence forest region of Central Ontario, Canada

5. Snow accumulation and ablation in a beetle-killed pine stand in Northern Interior British Columbia

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