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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
2014 [2]
2013 [2]
2012 [1]
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A model of sea surface temperature front detection based on a threshold interval
SCI/SSCI论文
2014
Ping B.
;
Su F. Z.
;
Meng Y. S.
;
Fang S. H.
;
Du Y. Y.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2014/12/24
sea surface temperature
threshold setting
Sobel algorithm
edge
detection
front detection
edge-detection
sst images
Optimizing the photosynthetic parameter V-cmax by assimilating MODIS-f(PAR) and MODIS-NDVI with a process-based ecosystem model
SCI/SSCI论文
2014
Hui S.
;
Mo X. G.
;
Lin Z. H.
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  |  
浏览/下载:25/0
  |  
提交时间:2014/12/24
V-cmax
Interval estimation
North China Plain
MODIS
VIP model
remote-sensing data
north china plain
land-surface temperature
net
primary productivity
winter-wheat
stomatal conductance
chlorophyll
content
biochemical-model
use efficiency
water-content
Bayesian-combined wavelet regressive modeling for hydrologic time series forecasting
SCI/SSCI论文
2013
Sang Y. F.
;
Shang L. Y.
;
Wang Z. G.
;
Liu C. M.
;
Yang M. G.
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  |  
浏览/下载:23/0
  |  
提交时间:2014/12/24
hydrologic time series forecasting
wavelet
regression model
Bayesian
theory
probabilistic forecasting
predictability
artificial neural-networks
uncertainty assessment
decomposition
prediction
Agricultural Production Structure Optimization: A Case Study of Major Grain Producing Areas, China
SCI/SSCI论文
2013
Lu S. S.
;
Liu Y. S.
;
Long H. L.
;
Guan X. L.
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  |  
浏览/下载:15/0
  |  
提交时间:2014/12/24
major grain producing areas
agricultural production structure
optimization
interval-probabilistic programming
food security
farmers' income increase
China
model
uncertainty
management
inequality
Modern pollen-vegetation relationship based on discriminant analysis across an altitudinal transect on Gongga Mountain, eastern Tibetan Plateau
SCI/SSCI论文
2012
作者:
Li Q.
;
Li Q.
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  |  
浏览/下载:17/0
  |  
提交时间:2014/12/25
modern pollen assemblage
altitudinal vegetation belt
discriminant
analysis
Gongga Mountain
Tibetan Plateau
environmental-changes
alpine vegetation
northern slope
late holocene
qaidam basin
climate
record
china
variability
sediments
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