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CAS IR Grid
机构
地理科学与资源研究... [85]
烟台海岸带研究所 [11]
成都山地灾害与环境研... [5]
自动化研究所 [2]
西安光学精密机械研究... [2]
力学研究所 [1]
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OAI收割 [108]
内容类型
期刊论文 [108]
发表日期
2024 [108]
学科主题
天文学 [1]
天文学:天体测量学 [1]
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浏览/检索结果:
共108条,第1-10条
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存缴方式:oaiharvest
发表日期:2024
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Quantifying links between aerosol optical depth and rapid urbanisation induced land use changes, Hangzhou, China, 2000-2020
期刊论文
OAI收割
ALL EARTH, 2024, 卷号: 36, 期号: 1, 页码: 1-16
作者:
Yu, Zhifeng
;
Chen, Zheyu
;
Sun, Kun
;
Qi, Bing
;
Wang, Ben
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/01/22
Land use/land cover (LULC)
aerosol optical depth (AOD)
Landsat
MOD04_3K AOD data
Evaluation of six global high-resolution global land cover products over China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 17
作者:
Wang, Yiqi
;
Xu, Yongming
;
Xu, Xichen
;
Jiang, Xingan
;
Mo, Yaping
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/02/05
Land cover products
high-resolution
spatial consistency
accuracy evaluation
China
Land cover
remote sensing
global data bases
Long-term dynamics of peak photosynthesis timing and environmental controls in the Tibetan Plateau monitored by satellite solar-induced chlorophyll fluorescence
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 22
作者:
Tu, Zhiqin
;
Sun, Yuan
;
Wu, Chaoyang
;
Ding, Zhi
;
Tang, Xuguang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/02/05
Vegetation phenology
peak photosynthesis timing
global change
eddy covariance
Tibetan Plateau
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 21
作者:
Zhu, Xiaoyu
;
Ma, Xuanlong
;
Zhang, Zhengyang
;
Liu, Yuxia
;
Luo, Yunpeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/03/01
Aerobiology
pollen forecasting
urban sustainability
big data
public health
machine learning
Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29
作者:
Wang, Chunyang
;
Yang, Kui
;
Yang, Wei
;
Li, Runkui
;
Qiang, Haiyang
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/19
Residual network
graph attention network
super-pixel segmentation
habitat quality
driving force analysis
CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 19
作者:
Wang, Lei
;
Ye, Cheng
;
Chen, Fang
;
Wang, Ning
;
Li, Congrong
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/03/04
Built-up area
deep learning
remote sensing image
SDGSAT-1
semantic segmentation
Localizing urban SDGs indicators for an integrated assessment of urban sustainability: a case study of Hainan province
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 27
作者:
Li, Sijia
;
Sun, Zhongchang
;
Guo, Huadong
;
Ouyang, Xiaoying
;
Liu, Zongqiang
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/06
Localized urban SDGs
spatial spillover effect
trade-offs and synergies
SDG index
2030 SDGs projections
A multi-source data fusion method for land cover production: a case study of the East European Plain
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 18
作者:
Li, Kai
;
Wang, Juanle
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2024/05/06
Land cover
East European Plain
multi-source data fusion
deep learning
Evolutionary dynamics of island shoreline in the context of climate change: insights from extensive empirical evidence
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 26
作者:
Zhang, Yuxin
;
Li, Hao
;
Li, Dong
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/07
Island
shoreline change
climate change
sea level rise
adaptation
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal
期刊论文
OAI收割
GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19
作者:
Zhang, Qian
;
Liu, Xiangnan
;
Peng, Tao
;
Yang, Xiao
;
Tang, Mengzhen
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/19
Missing information reconstruction
optical time series data
SAR-to-optical translation
spatiotemporal mapping
deep learning