| [1] |
WANG Chao, LIU Ting, XU Shuang, CAI Shishu, LAI Zeyu, LU Jie.
Canopy variation in leaf functional traits and seasonal characteristics of ecological strategies in Ulmus pumila ‘Jinye’
[J]. Forest and Grassland Resources Research, 2025, 0(5): 96-104.
|
| [2] |
ZOU Wentao, ZENG Weisheng, WEN Xuexiang.
Modeling the relationships between tree crown and DBH and tree height for eight pine species in China
[J]. Forest and Grassland Resources Research, 2025, 0(2): 141-150.
|
| [3] |
DU Zhi, CHEN Zhenxiong, HE Dongbei, LIU Ziwei, HUANG Xin.
Development of Forest Volume Model Based on Nonlinear Mixed-effect for Cunninghamia lanceolata
[J]. Forest and Grassland Resources Research, 2024, 0(4): 21-28.
|
| [4] |
LI Jie, LIU Xiaotong, GAO Jinping, FU Anmin, WU Fayun.
Inversion of Main Tree Species’ Volume in Hainan Based on Airborne LiDAR Point Cloud Data
[J]. Forest and Grassland Resources Research, 2024, 0(3): 25-32.
|
| [5] |
LUO Yaopei, LI Heping, YANG Guangbin, CEN Gang, LI Man, CAO Qianyang, WANG Renru, CHEN Panfang.
Volume Estimation Method of High Canopy Density Pinus massoniana Forest Based on UAV Image
[J]. Forest and Grassland Resources Research, 2024, 0(2): 68-79.
|
| [6] |
LI Wei, WANG Xiaohong.
Individual Tree Segmentation Algorithm of Pinus MassonianaForest Based on Fusion Point Cloud Data
[J]. Forest and Grassland Resources Research, 2024, 0(2): 92-100.
|
| [7] |
SUN Kun, WU Dayu, SUN Honggang.
Effects of Mixed Betula luminifera and Phyllostachys edulis with Different Proportions on the Growth of Cunninghamia lanceolata after Thinning
[J]. Forest and Grassland Resources Research, 2024, 0(2): 124-132.
|
| [8] |
WU Sha, BIAN Gengzhan, YI Xuan, LYU Yong.
Research and Construction of Stand Form Height Model of Quercus glauca Secondary Forest
[J]. Forest and Grassland Resources Research, 2024, 0(1): 134-142.
|
| [9] |
TANG Jiajun, CHAI Zongzheng.
Remote Sensing Estimation of Average Diameter at Breast Height of Forest Stands Based on Airborne LiDAR and Machine Learning Algorithms
[J]. Forest and Grassland Resources Research, 2024, 0(1): 56-64.
|
| [10] |
WANG Guilin, TAN Wei, CHEN Botao.
Height-diameter Model of Cunninghamia lanceolata Based on Deep Neural Network
[J]. Forest and Grassland Resources Research, 2024, 0(1): 82-87.
|
| [11] |
TANG Jiajun, WANG Gang, CHAI Zongzheng.
Single-TreeVolume Estimation of Pinus massoniana based on Airborne LiDAR Point Cloud
[J]. Forest and Grassland Resources Research, 2023, 0(6): 105-112.
|
| [12] |
BAI Xingwen, HU Sheng, BU Rigude, YANG Fan.
Analysis and Research on the Docking Scheme of Forest Stock Data Between Continuous Inventory of Forest Resources and Forest Resource Planning and Design Investigation
[J]. Forest and Grassland Resources Research, 2023, 0(5): 142-147.
|
| [13] |
DU Zhi, CHEN Zhenxiong, Li Rui, LUO Chongbin, YANG Guojin, ZENG Weisheng.
Development of Tree Height-DBH Model for Cunninghamia lanceolata and Eucalyptus Robusta Based on Stand Dominant Height and Climatic Factors
[J]. FOREST RESOURCES WANAGEMENT, 2023, 0(4): 36-42.
|
| [14] |
CHEN Jingjing, CHAI Zongzheng.
Determination and Application of Reasonable Annual Forest Harvesting Volume Based on Simulation Calculation Method
[J]. FOREST RESOURCES WANAGEMENT, 2023, 0(3): 146-152.
|
| [15] |
ZENG Weisheng, YANG Xueyun.
Analysis of General Status and Examination of Estimation Errors for One-Variable Tree Volume Tables in China
[J]. FOREST RESOURCES WANAGEMENT, 2023, 0(2): 43-49.
|