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科研机构
地理科学与资源研究... [10]
内容类型
期刊论文 [10]
发表日期
2018 [10]
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发表日期:2018
专题:地理科学与资源研究所
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Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 17
作者:
Li, Lijuan
;
Chen, Baozhang
;
Zhang, Yanhu
;
Zhao, Youzheng
;
Xian, Yue
收藏
  |  
浏览/下载:96/0
  |  
提交时间:2019/05/23
daily PM2
5concentrations
remote sensing
MODIS AOD
machine learning algorithm
spatial and temporal distribution
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia
期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 卷号: 38, 期号: 13, 页码: 4891-4902
作者:
Wang, Bin
;
Zheng, Lihong
;
Liu, De Li
;
Ji, Fei
;
Clark, Anthony
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
GCMs
machine learning
multi-model ensemble
random forest
support vector machine
Multimodel ensembles improve predictions of crop-environment-management interactions
期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 卷号: 24, 期号: 11, 页码: 5072-5083
作者:
Wallach, Daniel
;
Martre, Pierre
;
Liu, Bing
;
Asseng, Senthold
;
Ewert, Frank
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/05/23
climate change impact
crop models
ensemble mean
ensemble median
multimodel ensemble
prediction
Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 页码: 605-613
作者:
Chen, Gongbo
;
Wang, Yichao
;
Li, Shanshan
;
Cao, Wei
;
Ren, Hongyan
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/05/23
PM10
AOD
Random forests
China
A new algorithm predicting the end of growth at five evergreen conifer forests based on nighttime temperature and the enhanced vegetation index
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 144, 页码: 390-399
作者:
Yuan, Huanhuan
;
Wu, Chaoyang
;
Lu, Linlin
;
Wang, Xiaoyue
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/23
Phenology
Evergreen conifer forests
T-min
T-max
NDVI/EVI
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 52-60
作者:
Chen, Gongbo
;
Li, Shanshan
;
Knibbs, Luke D.
;
Hamm, N. A. S.
;
Cao, Wei
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/05/23
PM2.5
Aerosol optical depth
Random forests
Machine learning
China
Mapping the transmission risk of Zika virus using machine learning models
期刊论文
ACTA TROPICA, 2018, 卷号: 185, 页码: 391-399
作者:
Jiang, Dong
;
Hao, Mengmeng
;
Ding, Fangyu
;
Fu, Jingying
;
Li, Meng
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/05/23
Zika virus
Transmission risk
Machine learning
Significant differences
Prediction uncertainty
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity
期刊论文
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 卷号: 71, 页码: 186-198
作者:
Cheng, Shifen
;
Lu, Feng
;
Peng, Peng
;
Wu, Sheng
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/05/23
Short-term traffic forecasting
Adaptive spatiotemporal k-nearest neighbor model
Spatial heterogeneity
Traffic patterns
Past distribution of epiphyllous liverworts in China: The usability of historical data
期刊论文
ECOLOGY AND EVOLUTION, 2018, 卷号: 8, 期号: 15, 页码: 7436-7450
作者:
Jiang, Yanbin
;
Wang, Tiejun
;
Wu, Yupeng
;
Hu, Ronggui
;
Huang, Ke
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/23
bryophytes
environmental variables
historical records
maxent
species distribution model
Modeling Gross Primary Production of a Typical Coastal Wetland in China Using MODIS Time Series and CO2 Eddy Flux Tower Data
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 5, 页码: 20
作者:
Kang, Xiaoming
;
Yan, Liang
;
Zhang, Xiaodong
;
Li, Yong
;
Tian, Dashuan
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2019/05/23
coastal wetland
eddy covariance
gross primary production
MODIS
vegetation indices
VPM
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