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期刊论文 [30]
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2021 [30]
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Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 105, 页码: 11
作者:
Naboureh, Amin
;
Li, Ainong
;
Ebrahimy, Hamid
;
Bian, Jinhu
;
Azadbakht, Mohsen
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2021/12/13
Land cover
Irrigation expansions
Lake Urmia
Google Earth Engine
Sample migration
Landsat
Retrieving dynamics of the surface water extent in the upper reach of Yellow River
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 800, 页码: 17
作者:
Zhou, Haowei
;
Liu, Suxia
;
Hu, Shi
;
Mo, Xingguo
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  |  
浏览/下载:74/0
  |  
提交时间:2021/11/05
Surface water extent dynamics
Landsat images
Water extraction
Surface water gaps interpolation
Google Earth Engine
A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 16
作者:
Liu, Qionghuan
;
Zhang, Yili
;
Liu, Linshan
;
Wang, Zhaofeng
;
Nie, Yong
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  |  
浏览/下载:42/0
  |  
提交时间:2021/11/05
Wetland mapping
Random forest
Feature optimization
Google Earth Engine
Tibetan Plateau
Integrating multiple semantics data to assess the dynamic change of urban green space in Beijing, China
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 15
作者:
Yang, Zhiqi
;
Fang, Chuanglin
;
Li, Guangdong
;
Mu, Xufang
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  |  
浏览/下载:65/0
  |  
提交时间:2021/11/05
Urban green space
Temporal segmentation
Random forest
Dynamic change
Social sensing
Beijing
Integrating remote sensing and geospatial big data for urban land use mapping: A review
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 11
作者:
Yin, Jiadi
;
Dong, Jinwei
;
Hamm, Nicholas A. S.
;
Li, Zhichao
;
Wang, Jianghao
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  |  
浏览/下载:43/0
  |  
提交时间:2021/11/05
Integration methods
Urban functional zone classification
Urban management
Land use
Urban ecological land and natural-anthropogenic environment interactively drive surface urban heat island: An urban agglomeration-level study in China
期刊论文
ENVIRONMENT INTERNATIONAL, 2021, 卷号: 157, 页码: 14
作者:
Feng, Rundong
;
Wang, Fuyuan
;
Wang, Kaiyong
;
Wang, Hongjie
;
Li, Li
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  |  
浏览/下载:39/0
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提交时间:2021/11/05
Urban ecological land
Surface urban heat island effect
Natural-anthropogenic factors
Interaction effects
Urban agglomeration
Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine
期刊论文
MARINE POLLUTION BULLETIN, 2021, 卷号: 172, 页码: 13
作者:
Li, Dongxue
;
Gao, Zhiqiang
;
Xu, Fuxiang
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  |  
浏览/下载:56/0
  |  
提交时间:2021/11/10
Green tide
Dissipation
Multi-source satellite data
Long-term
Environmental factors
Influence
Analysis of environmental factors affecting the large-scale long-term sequence of green tide outbreaks in the Yellow Sea
期刊论文
ESTUARINE COASTAL AND SHELF SCIENCE, 2021, 卷号: 260, 页码: 13
作者:
Li, Dongxue
;
Gao, Zhiqiang
;
Song, Debin
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/16
Green tide
Yellow sea
Precipitation (PRCP)
Sea surface temperature (SST)
Sea surface salinity (SSS)
Google earth engine (GEE)
Examining rice distribution and cropping intensity in a mixed single- and double-cropping region in South China using all available Sentinel 1/ 2 images
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101, 页码: 15
作者:
He, Yingli
;
Dong, Jinwei
;
Liao, Xiaoyong
;
Sun, Li
;
Wang, Zhipan
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  |  
浏览/下载:52/0
  |  
提交时间:2021/08/19
Rice mapping
Cropping intensity
Sentinel-1
2
Time series
Google Earth Engine
High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 179, 页码: 66-80
作者:
Li, Kewei
;
Xu, Erqi
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/11/05
Surface water
Time series
Auto-updating of training samples
Temporal consistency detection
Change monitoring
Intra-annual information
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