中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
植物研究所 [5]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2022 [1]
2021 [1]
2020 [1]
2018 [1]
2015 [1]
学科主题
Imaging Sc... [5]
Remote Sen... [5]
Geoscience... [3]
Environmen... [2]
Geography,... [2]
Engineerin... [1]
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学科主题:Imaging Science & Photographic Technology
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Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:
Liu, Xiaoqiang
;
Su, Yanjun
;
Hu, Tianyu
;
Yang, Qiuli
;
Liu, Bingbing
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2024/03/07
Forest canopy height
GEDI
ICESat-2 ATLAS
Lidar
Spatial interpolation
Deep neural network
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 36-48
作者:
Wu, Shengbiao
;
Wang, Jing
;
Yan, Zhengbing
;
Song, Guangqin
;
Chen, Yang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/02/24
Multi-scale remote sensing
Phenocam
High-resolution satellite
MODIS
Individual tree-crown
Leaf phenology
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations
期刊论文
OAI收割
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:13/0
  |  
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
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data
期刊论文
OAI收割
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:6/0
  |  
提交时间:2022/02/25
canopy height
Random Forest
LiDAR
multi-source
vegetation type
location
scale
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 102, 页码: 198-208
作者:
Li, Le
;
Guo, Qinghua
;
Tao, Shengli
;
Kelly, Maggi
;
Xu, Guangcai
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/09/13
Lidar
Forest biomass
MODIS
Terrestrial
Scale