Forest density mapping based on UAV high-resolution image

doi:10.13474/j.cnki.11-2246.2021.0204

Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (7): 29-33.doi: 10.13474/j.cnki.11-2246.2021.0204

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Forest density mapping based on UAV high-resolution image

GUO Wei¹, YANG Chunyu², WU Ziruo¹, JI Xianglin¹, YANG Chunjie¹, ZHAO Chuanwu¹, ZHANG Yuhuan³

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China;
2. Beijing Institute of Geological Engineering, Beijing 101500, China;
3. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

Received:2021-05-12 Revised:2021-05-17 Online:2021-07-25 Published:2021-08-04

Abstract

Abstract: Based on the UAV remote sensing data of Daxing'anling Mountains, this paper proposes a local threshold algorithm for forest density mapping. Compared with the traditional Otsu method to remove the background noise, it is concluded that this method can remove the noise background well in the areas with medium or low forest density. Combined with the local maximum method, it has good single tree extraction accuracy, and its recall rate reaches 100%. The traditional Otsu background removal method has a good recognition effect in high forest density area, but its disadvantage is the wrong information extraction of non-forest open space. Through the comparative study of the above two methods, the mapping results of forest plant density in Daxing'an Mountains are obtained, which can provide a reference for the mapping of forest plant density in sparse forest areas.

Key words: UAV remote sensing, forest density, Gaussian filtering, threshold segmentation, local maximum

CLC Number:

P237

GUO Wei, YANG Chunyu, WU Ziruo, JI Xianglin, YANG Chunjie, ZHAO Chuanwu, ZHANG Yuhuan. Forest density mapping based on UAV high-resolution image[J]. Bulletin of Surveying and Mapping, 2021, 0(7): 29-33.

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