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 [18]
采集方式
OAI收割 [18]
内容类型
期刊论文 [18]
发表日期
2022 [1]
2021 [1]
2020 [2]
2019 [3]
2018 [3]
2016 [4]
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学科主题
Geoscienc... [18]
Imaging S... [13]
Remote Se... [13]
Environmen... [9]
Geography,... [7]
Paleontolo... [2]
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共18条,第1-10条
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学科主题:Geosciences, Multidisciplinary
专题:植物研究所
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Loess Landslide Detection Using Object Detection Algorithms in Northwest China
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:
Ju, Yuanzhen
;
Xu, Qiang
;
Jin, Shichao
;
Li, Weile
;
Su, Yanjun
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/03/07
loess landslide
google earth image
deep learning
automatic identification
object detection
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:
Jin, Shichao
;
Sun, Xiliang
;
Wu, Fangfang
;
Su, Yanjun
;
Li, Yumei
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/24
Lidar
Traits
Phenomics
Breeding
Management
Multi-omits
Application of deep learning in ecological resource research: Theories, methods, and challenges
期刊论文
OAI收割
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:14/0
  |  
提交时间:2022/01/06
Ecological resources
Deep learning
Neural network
Big data
Theory and tools
Application and challenge
Application of deep learning in ecological resource research: Theories, methods, and challenges
期刊论文
OAI收割
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:7/0
  |  
提交时间:2022/03/01
Ecological resources
Deep learning
Neural network
Big data
Theory and tools
Application and challenge
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:
Guan, Hongcan
;
Su, Yanjun
;
Hu, Tianyu
;
Chen, Jin
;
Guo, Qinghua
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/01/06
spatiotemporal data fusion
object-based framework
similar pixel
vegetation mapping
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:
Yang, Qiuli
;
Su, Yanjun
;
Jin, Shichao
;
Kelly, Maggi
;
Hu, Tianyu
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/01/06
individual segmentation method
leaf area index
canopy cover
tree density
coefficient of variation of tree height
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-Limited and Temperature-Limited Grassland Ecosystems
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:
Zhang, Liangxia
;
Zhou, Decheng
;
Fan, Jiangwen
;
Guo, Qun
;
Chen, Shiping
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/01/06
gross primary productivity
light use efficiency model
satellite remote sensing
MODIS
EVI
eddy covariance
grassland ecosystem
temperate steppe
alpine meadow
Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9
作者:
Wang, Dezhi
;
Wan, Bo
;
Qiu, Penghua
;
Su, Yanjun
;
Guo, Qinghua
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/25
mangroves
species
Sentinel-2
Landsat 8
Pleiades-1
random forest
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
Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:
Wang, Dezhi
;
Wan, Bo
;
Qiu, Penghua
;
Su, Yanjun
;
Guo, Qinghua
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/25
artificial mangrove
object-based
pixel-based
decision tree
random forest
support vector machine