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
地理科学与资源研究... [74]
西北高原生物研究所 [20]
遥感与数字地球研究所 [3]
生态环境研究中心 [3]
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南京地理与湖泊研究所 [2]
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OAI收割 [112]
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期刊论文 [106]
SCI/SSCI论文 [5]
学位论文 [1]
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2022 [11]
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Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 16, 期号: 1, 页码: 3456-3488
作者:
Liang, Ying
;
Cao, Shisong
;
Du, Mingyi
;
Lu, Linlin
;
Jiang, Jie
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2023/10/09
Local climate zone
land cover
three-dimensional urban structure parameters
nighttime light
multi-classifiers
Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 4581
作者:
Chen, Tianyu
;
Zhou, Yuke
;
Zou, Dan
;
Wu, Jingtao
;
Chen, Yang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/06
nighttime light data
socio-economic disparities
Hu Huanyong line
spatial autocorrelation
vegetation index
urbanization
big data mining
Spatiotemporal Variation and Quantitative Attribution of Carbon Storage Based on Multiple Satellite Data and a Coupled Model for Jinan City, China
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 23
作者:
Lu, Lu
;
Xue, Qiang
;
Zhang, Xiaojing
;
Qin, Changbo
;
Jia, Lizhi
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/10/30
Markov-FLUS-InVEST model
carbon storage
multi-scenario simulation
OPGD model
quantitative attribution
Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 21
作者:
Chen, Tianyu
;
Zhou, Yuke
;
Zou, Dan
;
Wu, Jingtao
;
Chen, Yang
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/10/30
nighttime light data
socio-economic disparities
Hu Huanyong line
spatial autocorrelation
vegetation index
urbanization
big data mining
Spatiotemporal Variations of Global Human-Perceived Heatwave Risks and their Driving Factors Based on Machine Learning
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 14, 页码: 3627
作者:
Wang, Yuwei
;
Zhao, Na
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/09/07
human-perceived heatwaves
spatiotemporal variation
driving factor
random forests
Spatial-temporal evolution and driving force analysis of eco-quality in urban agglomerations in China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 866, 页码: 14
作者:
Zhang, Lifang
;
Fang, Chuanglin
;
Zhao, Ruidong
;
Zhu, Cong
;
Guan, Jingyun
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/10/09
Urban agglomerations
Ecological quality
GEE
Driving forces
GeoDetector
China
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
期刊论文
OAI收割
APPLIED GEOGRAPHY, 2023, 卷号: 152
作者:
Wan, Nan
;
Du, Yunyan
;
Liang, Fuyuan
;
Yi, Jiawei
;
Qian, Jiale
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/04/06
Land border
Nighttime light data
Socioeconomic development
Change pattern
Driving factors
Realistic characteristics and driving mechanisms of pseudo-human settlements in Chinese cities
期刊论文
OAI收割
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2023, 卷号: 10, 期号: 1, 页码: 50
作者:
Yu, Wenbo
;
Yang, Jun
;
Wu, Feng
;
He, Baojie
;
Xue, Bing
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/04
Dynamic Changes, Spatiotemporal Differences, and Ecological Effects of Impervious Surfaces in the Yellow River Basin, 1986-2020
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 26
作者:
Zhang, Jing
;
Du, Jiaqiang
;
Fang, Shifeng
;
Sheng, Zhilu
;
Zhang, Yangchengsi
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/02/20
impervious surfaces
Yellow River Basin
expansion change analysis
remote sensing-based ecological index
Vegetation recovery trends under dual dominance of climate change and anthropogenic factors in the severely damaged areas of the Wenchuan earthquake
期刊论文
OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2022, 卷号: 19, 期号: 11, 页码: 3131-3147
作者:
Wang Qian
;
Wang Ze-gen
;
Yong Zhi-wei
;
Zhao Kai
;
Xiong Jun-nan
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/12/23
Vegetation recovery
Enhanced Vegetation Index
Ensemble empirical mode decomposition
Geographically and Temporally Weighted Regression