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科研机构
地理科学与资源研究所 [5]
内容类型
SCI/SSCI论文 [5]
发表日期
2016 [5]
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发表日期:2016
内容类型:SCI/SSCI论文
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A Spatial Downscaling Algorithm for Satellite-Based Precipitation over the Tibetan Plateau Based on NDVI, DEM, and Land Surface Temperature
SCI/SSCI论文
2016
作者:
Jing W. L.
;
Yang, Y. P.
;
Yue, X. F.
;
Zhao, X. D.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2017/11/09
precipitation
spatial downscaling
land surface temperature
random
forests
SVM
cover classification
random forests
machine
china
rain
variability
vegetation
networks
scales
Refining Time-Activity Classification of Human Subjects Using the Global Positioning System
SCI/SSCI论文
2016
作者:
Hu M. G.
;
Li, W.
;
Li, L. F.
;
Houston, D.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2017/11/09
random forests
physical-activity
air-pollution
accelerometer data
ultrafine particles
gps tracking
los-angeles
exposure
travel
location
A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China
SCI/SSCI论文
2016
作者:
Jing W. L.
;
Yang, Y. P.
;
Yue, X. F.
;
Zhao, X. D.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2017/11/09
TRMM
precipitation
downscaling
land surface temperature
machine
learning
artificial neural-networks
land-surface temperature
rain-gauge
networks
vegetation dynamics
tibetan plateau
random forests
great-plains
variability
ndvi
classification
Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
SCI/SSCI论文
2016
作者:
Mi C. R.
;
Falk, H.
;
Guo, Y. M.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2017/11/09
Climate change
Species distribution models (SDMs)
Great Bustard (Otis
tarda dybowskii)
Random Forest
China
species distribution models
habitat models
random forests
regression
impacts
area
Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods
SCI/SSCI论文
2016
作者:
Li Z. W.
;
Wang, J. H.
;
Tang, H.
;
Huang, C. Q.
;
Yang, F.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2017/11/09
leaf area index
grassland
predict
geostatistics
regression
remote
sensing
artificial neural-networks
airborne hyperspectral imagery
support
vector regression
modis-lai product
squares regression
random
forests
vegetation indexes
satellite data
spatial-distribution
aboveground biomass
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