Fine-scale tree species mapping in mountainous regions using integrated machine learning and object-based remote sensing： A case study of the Qinling-Daba Mountains

WANG Xiaofeng; YANG Zihuan; LIU Shirong; ZHOU Chaowei; CHEN Jizhen; HUANG Zhilin; BAI Juan

doi:10.11834/jrs.20265334

Forestry and Agriculture | Views:338Downloads:147CSCD:0

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Fine-scale tree species mapping in mountainous regions using integrated machine learning and object-based remote sensing： A case study of the Qinling-Daba Mountains
“As an important terrestrial carbon reservoir, mountain forests have been introduced for their research progress in remote sensing monitoring. The research team has established an object-oriented random forest classification system and explored the topic of fine identification of tree species in the Qinba Mountains, providing solutions for complex mountain forest carbon sink assessment and biodiversity conservation.”
- role：First author第一作者
- Affiliation：
  School of Land Engineering, Chang’an University, Xi’an 710054, China
  Key Laboratory of Shaanxi Land Consolidation, Xi’an 710054, China
- Email：wangxf@chd.edu.cn
- Introduction：王晓峰，研究方向为生态遥感。E-mail： wangxf@chd.edu.cn
WANG Xiaofeng
12 * ,
- Affiliation：
  School of Land Engineering, Chang’an University, Xi’an 710054, China
YANG Zihuan
1 * ,
- Affiliation：
  Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
LIU Shirong
3 * ,
- Affiliation：
  School of Land Engineering, Chang’an University, Xi’an 710054, China
ZHOU Chaowei
1 * ,
- Affiliation：
  Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
CHEN Jizhen
3 * ,
- Affiliation：
  Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
HUANG Zhilin
3 * ,
- Affiliation：
  School of Land Engineering, Chang’an University, Xi’an 710054, China
BAI Juan
1 *
Vol. 30, Issue 6, Pages: 1627-1646(2026)
DOI：10.11834/jrs.20265334
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Fine-scale tree species mapping in mountainous regions using integrated machine learning and object-based remote sensing： A case study of the Qinling-Daba Mountains

WANG Xiaofeng

YANG Zihuan

LIU Shirong

ZHOU Chaowei

CHEN Jizhen

HUANG Zhilin

BAI Juan

DOI：10.11834/jrs.20265334

Full Text(HTML)

Figs( 33 ) Tabs( 9 )

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