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科研机构
植物研究所 [15]
内容类型
期刊论文 [15]
发表日期
2020 [15]
学科主题
Remote Sen... [6]
Imaging Sc... [5]
Environmen... [4]
Geoscience... [4]
Engineerin... [3]
Forestry [2]
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发表日期:2020
专题:植物研究所
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A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
作者:
Jin, Shichao
;
Sun, Yanjun
;
Zhao, Xiaoqian
;
Hu, Tianyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2022/03/01
Digital terrain model (DTM)
deep learning
fully convolutional neural network (FCN)
ground filtering
light detection and ranging (LiDAR)
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 85
作者:
Wang, Dezhi
;
Wan, Bo
;
Liu, Jing
;
Su, Yanjun
;
Guo, Qinghua
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
Mangroves
Aboveground biomass
UAV-LiDAR
Sentinel-2
Random forest
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data
期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:
Xu, Kexin
;
Su, Yanjun
;
Liu, Jin
;
Hu, Tianyu
;
Jin, Shichao
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/03/01
Aboveground biomass (AGB)
Degraded grassland
Machine learning
Northern agro-pastoral ecotone
Terrestrial laser scanning (TLS)
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:
Hu, Tianyu
;
Zhang, YingYing
;
Su, Yanjun
;
Zheng, Yi
;
Lin, Guanghui
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
mangrove
LiDAR
random forest
GLAS
aboveground biomass
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Ma, Qin
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/03/01
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
Large-Scale Geographical Variations and Climatic Controls on Crown Architecture Traits
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 卷号: 125, 期号: 2
作者:
Su, Yanjun
;
Hu, Tianyu
;
Wang, Yongcai
;
Li, Yumei
;
Dai, Jingyu
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/03/01
crown architecture
terrestrial laser scanning
climate variations
coordination
Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception
期刊论文
ECOHYDROLOGY, 2020, 卷号: 13, 期号: 5
作者:
Yu, Yue
;
Gao, Tian
;
Zhu, Jiaojun
;
Wei, Xiaohua
;
Guo, Qinghua
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/03/01
canopy interception index
dimensionless descriptor
rainfall interception
temperate forests
terrestrial laser scanning
Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 284
作者:
Li, Yumei
;
Su, Yanjun
;
Zhao, Xiaoxia
;
Yang, Mohan
;
Hu, Tianyu
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/03/01
Trunk architecture
Laplacian algorithm
Dijkstra algorithm
Terrestrial laser scan data
Simulated data
Application of deep learning in ecological resource research: Theories, methods, and challenges
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:
Guo, Qinghua
;
Jin, Shichao
;
Li, Min
;
Yang, Qiuli
;
Xu, Kexin
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/03/01
Ecological resources
Deep learning
Neural network
Big data
Theory and tools
Application and challenge
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