×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
植物研究所 [28]
沈阳应用生态研究所 [1]
内容类型
期刊论文 [29]
发表日期
2022 [5]
2020 [2]
2019 [5]
2018 [5]
2016 [6]
2015 [5]
更多...
学科主题
Geoscienc... [29]
Imaging S... [29]
Remote Se... [29]
Environme... [21]
Geography,... [8]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共29条,第1-10条
帮助
限定条件
学科主题:Geosciences, Multidisciplinary
学科主题:Imaging Science & Photographic Technology
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data
期刊论文
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:2/0
  |  
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
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:1/0
  |  
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
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:0/0
  |  
提交时间:2024/03/07
backpack lidar
closed forest
SLAM
stem positioning
accuracy
paired-tree distance
Loess Landslide Detection Using Object Detection Algorithms in Northwest China
期刊论文
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:0/0
  |  
提交时间:2024/03/07
loess landslide
google earth image
deep learning
automatic identification
object detection
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
REMOTE SENSING, 2022, 卷号: 14, 期号: 15
作者:
Bai, Huiqing
;
Sun, Zhongxiang
;
Yao, Xuenan
;
Kong, Junhua
;
Wang, Yongjian
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/07
grape
MaxEnt model
environment variables
suitability
climate change
remote sensing data
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
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 166, 页码: 82-94
作者:
Guan, Hongcan
;
Su, Yanjun
;
Sun, Xiliang
;
Xu, Guangcai
;
Li, Wenkai
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/03/01
Terrestrial laser scanning
Registration
Marker-free
Forest
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications
期刊论文
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:27/0
  |  
提交时间:2022/01/06
spatiotemporal data fusion
object-based framework
similar pixel
vegetation mapping
Mapping Irrigated Areas of Northeast China in Comparison to Natural Vegetation
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:
Xiang, Kunlun
;
Ma, Minna
;
Liu, Wei
;
Dong, Jie
;
Zhu, Xiufang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2022/01/06
cropland
forest
irrigation
land surface water index
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data
期刊论文
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:15/0
  |  
提交时间:2022/01/06
individual segmentation method
leaf area index
canopy cover
tree density
coefficient of variation of tree height
©版权所有 ©2017 CSpace - Powered by
CSpace