# An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-integrated-gnss-ins-lidar-slam-positioning-method-for-highly-accurate-forest/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chuang Qian,Hui Liu,Jian Tang,Yuwei Chen,Harri Kaartinen,Antero Kukko,Lingli Zhu,Xinlian Liang,Liang Chen,Juha Hyyppä |
| Citations | 146 |
| DOI | 10.3390/rs9010003 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2072-4292/9/1/3/pdf?version=1482491342 |
| OpenAlex ID | https://openalex.org/W2566692295 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Jian Tang](https://scholariq.org/researchers/jian-tang-2/)

## 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/)
- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)

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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.