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科研机构
植物研究所 [22]
遥感与数字地球研究所 [1]
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期刊论文 [23]
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2022 [2]
2020 [4]
2019 [1]
2018 [6]
2016 [7]
2015 [3]
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Remote Se... [23]
Imaging S... [21]
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学科主题:Remote Sensing
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A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:
Liu, Xiaoqiang
;
Ma, Qin
;
Wu, Xiaoyong
;
Hu, Tianyu
;
Liu, Zhonghua
收藏
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浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest canopy structural complexity
Entropy
Multiplatform lidar point clouds
Mann-Kendall test
Kernel density estimation
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:
Liu, Xiaoqiang
;
Su, Yanjun
;
Hu, Tianyu
;
Yang, Qiuli
;
Liu, Bingbing
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest canopy height
GEDI
ICESat-2 ATLAS
Lidar
Spatial interpolation
Deep neural network
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
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  |  
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)
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
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 3, 页码: 2165-2177
作者:
Guan, Hongcan
;
Su, Yanjun
;
Hu, Tianyu
;
Wang, Rui
;
Ma, Qin
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
Vegetation
Laser radar
Forestry
Tin
Three-dimensional displays
Unmanned aerial vehicles
Registers
Forest
multiplatform light detection and ranging (LiDAR)
registration
tree location
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
作者:
Jin, Shichao
;
Su, Yanjun
;
Wu, Fangfang
;
Pang, Shuxin
;
Gao, Shang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/01/06
Light detection and ranging (LiDAR)
phenotypic traits
regional growth
segmentation
skeleton
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Hu, Tianyu
;
Liu, Jin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/25
canopy height
Random Forest
LiDAR
multi-source
vegetation type
location
scale
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 1
作者:
Kelly, Maggi
;
Su, Yanjun
;
Di Tommaso, Stefania
;
Fry, Danny L.
;
Collins, Brandon M.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/02/25
wildfire burn probability
crown fire
forest fuels
Sierra Nevada
Lidar
error
Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 204, 页码: 918-930
作者:
Yin, He
;
Pflugmacher, Dirk
;
Li, Ang
;
Li, Zhengguo
;
Hostert, Patrick
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/02/25
Land use and land cover change
Deforestation
Afforestation
Cropland retirement
MODIS time series
Trajectory-based approach
Inner Mongolia
Machine learning
Random forest
Probability scores
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