# A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-approach-for-the-detection-of-standing-tree-stems-from-plot-level/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wuming Zhang,Peng Wan,Tiejun Wang,Shangshu Cai,Yiming Chen,Xiuliang Jin,Guangjian Yan |
| Citations | 116 |
| DOI | 10.3390/rs11020211 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2072-4292/11/2/211/pdf?version=1548124168 |
| OpenAlex ID | https://openalex.org/W2913475014 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Wuming Zhang](https://scholariq.org/researchers/wuming-zhang/)

## Paper primary topic

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)

## Paper topics

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Forest ecology and management](https://scholariq.org/topics/forest-ecology-and-management/)
- [Forest Ecology and Biodiversity Studies](https://scholariq.org/topics/forest-ecology-and-biodiversity-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.