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

IF 1.7 4区环境科学与生态学 Q3 WATER RESOURCES

Canadian Water Resources Journal Pub Date : 2024-02-23 DOI:10.1080/07011784.2024.2312301

Andy D. Beaton, Robert A. Metcalfe, James M. Buttle, Steven E. Franklin

引用次数: 0

Abstract

The efficacy of field-based, photogrammetric point cloud, orthophoto and light detection and ranging datasets to describe forest structure and resolve forest–snowpack relationships in a mixed fores...

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利用基于实地的摄影测量点云、正射影像和激光雷达衍生指标来评估五大湖-圣劳伦斯森林地区的森林结构与积雪量之间的关系

以实地为基础的摄影测量点云、正射影像和光探测与测距数据集在描述森林结构和解决混交林中森林与积雪层关系方面的功效...

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来源期刊

Canadian Water Resources Journal WATER RESOURCES-

CiteScore

2.90

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： The Canadian Water Resources Journal accepts manuscripts in English or French and publishes abstracts in both official languages. Preference is given to manuscripts focusing on science and policy aspects of Canadian water management. Specifically, manuscripts should stimulate public awareness and understanding of Canada''s water resources, encourage recognition of the high priority of water as a resource, and provide new or increased knowledge on some aspect of Canada''s water. The Canadian Water Resources Journal was first published in the fall of 1976 and it has grown in stature to be recognized as a quality and important publication in the water resources field.