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
昆明植物研究所 [2]
成都山地灾害与环境研... [1]
长春光学精密机械与物... [1]
寒区旱区环境与工程研... [1]
自动化研究所 [1]
水土保持研究所 [1]
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OAI收割 [6]
iSwitch采集 [1]
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期刊论文 [6]
会议论文 [1]
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2021 [1]
2019 [1]
2017 [2]
2016 [2]
2006 [1]
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Agricultur... [1]
Forestry [1]
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Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China
期刊论文
OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2021, 卷号: 18, 期号: 4, 页码: 891-906
作者:
Yang Zheng-Ian
;
Zhang Ting-bin
;
Yi Gui-hua
;
Li Jing-ji
;
Qin Yan-bin
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/08/23
FPAR
Climate change
Correlation analysis
Partial least squares regression analysis (PLS)
Hengduan Mountains
Evaluation of key meteorological determinants of wintering and flowering patterns of five rubber clones in Xishuangbanna, Yunnan, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2019, 卷号: 63, 期号: 5, 页码: 617-625
作者:
Liyanage, K. K.
;
Khan, Sehroon
;
Ranjitkar, Sailesh
;
Yu, Haiying
;
Xu, Jianchu
  |  
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2019/07/29
Defoliation
Refoliation
Temperature
Sunshine
Precipitation
Partial least squares (PLS) regression
Critical climate periods for grassland productivity on China's Loess Plateau
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 卷号: 233, 期号: 1, 页码: 101-109
作者:
Guo, Liang
;
Cheng, Jimin
;
Luedeling, Eike
;
Koerner, Sally E.
;
He, Jin-Sheng
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2017/04/17
Aboveground net primary productivity (ANPP)
Partial least squares regression (PLS)
Precipitation
Temperate grassland
Temperature
Timing of climate variability
Critical climate periods for grassland productivity on China's Loess Plateau
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 卷号: 233, 页码: 101-109
作者:
Koerner, Sally E.
;
Peng, CH (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.
;
Cheng, JM
;
Peng, Changhui
;
Luo, Ruimin
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2018/04/12
Aboveground Net Primary Productivity (Anpp)
Partial Least Squares Regression (Pls)
Precipitation
Temperate Grassland
Temperature
Timing Of Climate Variability
Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment
期刊论文
iSwitch采集
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 卷号: 5, 期号: 12, 页码: 16
作者:
Feng, Yongjiu
;
Liu, Miaolong
;
Chen, Lijun
;
Liu, Yu
收藏
  |  
浏览/下载:215/0
  |  
提交时间:2019/10/09
urban growth
dynamic simulation
cellular automata
partial least squares (PLS) regression
geographical information systems (GIS)
accuracy analysis
Strategy for constructing calibration sets based on a derivative spectra information space consensus
期刊论文
OAI收割
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2016, 卷号: 156, 期号: 156, 页码: 7–13
作者:
Li, Zhigang
;
Liu, Jiemin
;
Shan, Peng
;
et al.
;
Zhigang Li
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2016/10/20
Consensus Selection calibration Set multivariate Regression Model partial Least Squares (Pls) derivative Spectra
Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE)
会议论文
OAI收割
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Chen X.-D.
;
Chen X.-D.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR)
principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.