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 [40]
烟台海岸带研究所 [4]
南海海洋研究所 [3]
地理科学与资源研究所 [3]
海洋研究所 [3]
成都生物研究所 [1]
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OAI收割 [55]
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期刊论文 [55]
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2022 [4]
2021 [8]
2020 [4]
2019 [4]
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Geoscienc... [55]
Imaging S... [37]
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共55条,第1-10条
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存缴方式:oaiharvest
学科主题:Geosciences, Multidisciplinary
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Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 203-214
作者:
Hu, Tianyu
;
Wei, Dengjie
;
Su, Yanjun
;
Wang, Xudong
;
Zhang, Jing
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/03/07
Mobile mapping system
Street tree
Shape
Aesthetical value
Greenness
Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 24
作者:
Zhang, Yicen
;
Wang, Junjie
;
Wu, Zhifeng
;
Lian, Juyu
;
Ye, Wanhui
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/03/07
species classification
canopy layer
leaf hyperspectral data
data fusion
evergreen broad-leaved forest
Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 8
作者:
Xie, Yuyang
;
Yang, Tao
;
Wang, Xiaofeng
;
Chen, Xi
;
Pang, Shuxin
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/03/07
backpack lidar
closed forest
SLAM
stem positioning
accuracy
paired-tree distance
Viticultural Suitability Analysis Based on Multi-Source Data Highlights Climate-Change-Induced Decrease in Potential Suitable Areas: A Case Analysis in Ningxia, China
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 15
作者:
Bai, Huiqing
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/03/07
grape
MaxEnt model
environment variables
suitability
climate change
remote sensing data
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 1
作者:
Hu, Tianyu
;
Sun, Xiliang
;
Su, Yanjun
;
Guan, Hongcan
;
Sun, Qianhui
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/02/24
unmanned aerial vehicle (UAV)
lidar
DJI Livox
low cost
forest inventory
New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 15
作者:
Chang, Zhongbing
;
Hobeichi, Sanaa
;
Wang, Ying-Ping
;
Tang, Xuli
;
Abramowitz, Gab
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/24
forest aboveground biomass
carbon stock
field measurements
remote sensing
China
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
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 Spatiotemporal Change Detection Method for Monitoring Pine Wilt Disease in a Complex Landscape Using High-Resolution Remote Sensing Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11
作者:
Zhang, Biyao
;
Ye, Huichun
;
Lu, Wei
;
Huang, Wenjiang
;
Wu, Bo
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/02/24
pine wilt disease
high-resolution remote sensing
spatiotemporal analysis
complex landscape
Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 21
作者:
Li, Jinya
;
Zhang, Yang
;
Zhao, Lina
;
Deng, Wanquan
;
Qian, Fawen
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/02/24
species distribution models
satellite tracking
multiscale model
landscape composition and configuration
variance partitioning analysis