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所 [4]
采集方式
OAI收割 [4]
内容类型
SCI/SSCI论文 [4]
发表日期
2016 [1]
2015 [2]
2006 [1]
学科主题
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内容类型:SCI/SSCI论文
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A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China
SCI/SSCI论文
OAI收割
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
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
Evaluation of three-dimensional urban expansion: A case study of Yangzhou City, Jiangsu Province, China
SCI/SSCI论文
OAI收割
2015
作者:
Qin J.
;
Fang, C. L.
;
Wang, Y.
;
Li, G. D.
;
Wang, S. J.
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2015/12/09
three-dimensional urban morphology
high-resolution remote sensing
image
three-dimensional expansion
three-dimensional fractal
Yangzhou
City
China
landscape pattern
lidar data
growth
gis
urbanization
information
guangzhou
metrics
shadow
images
A Simple Method for Soil Moisture Determination From LST-VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data
SCI/SSCI论文
OAI收割
2015
作者:
Zhang D. J.
;
Tang, R. L.
;
Tang, B. H.
;
Wu, H.
;
Li, Z. L.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/12/09
Nonlinear interpolation
soil moisture
thermal infrared remote sensing
universal triangle method
land-surface model
southern great-plains
dryness index tvdi
vegetation index
triangle method
evapotranspiration estimation
regional evapotranspiration
satellite imagery
air-temperature
energy
fluxes
A new method for feature mining in remotely sensed images
SCI/SSCI论文
OAI收割
2006
Leung Y.
;
Luo J. C.
;
Ma J. H.
;
Ming D. P.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2012/06/08
feature mining
genetic algorithm
mixture modeling
regression-class
mixture decomposition
remotely sensed image
computer vision
neural-network
classification
model
probabilities
likelihood
extraction
mixtures