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中国科学院地理科学与资源研究所机构知识库
KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
期刊论文
GEODERMA, 2020, 卷号: 369, 页码: 15
Authors:
Yang, Lin
;
Li, Xinming
;
Shi, Jingjing
;
Shen, Feixue
;
Qi, Feng
;
Gao, Binbo
;
Chen, Ziyue
;
Zhu, A-Xing
;
Zhou, Chenghu
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View/Download:29/0
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Submit date:2020/05/19
Conditioned Latin hypercube sampling
Soil mapping
Representativeness
Sample randomness
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 718, 页码: 15
Authors:
Hong, Haoyuan
;
Liu, Junzhi
;
Zhu, A-Xing
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View/Download:10/0
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Submit date:2020/05/19
Landslide
LogitBoost alternating decision trees
Forest by penalizing attributes
Bagging
Integration model
Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data
期刊论文
SOIL & TILLAGE RESEARCH, 2020, 卷号: 196, 页码: 13
Authors:
Yang, Lin
;
He, Xianglin
;
Shen, Feixue
;
Zhou, Chenghu
;
Zhu, A-Xing
;
Gao, Bingbo
;
Chen, Ziyue
;
Li, Manchun
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Submit date:2020/05/19
Soil organic carbon
Digital soil mapping
Phenological parameters
NDVI time series
Crop rotation
Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 17
Authors:
Fan, Nai-Qing
;
Zhu, A-Xing
;
Qin, Cheng-Zhi
;
Liang, Peng
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View/Download:8/0
  |  
Submit date:2020/05/19
digital soil mapping
invalid data
environmental covariate
SoLIM
uncertainty
large areas
China
Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 24819-24828
Authors:
Zou, Zhiqiang
;
Yang, Haoyu
;
Zhu, A-Xing
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View/Download:13/0
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Submit date:2020/05/19
Travel time estimation
ensemble method
deep neural network
gradient boosted decision trees
A graded proportion method of training sample selection for updating conventional soil maps
期刊论文
GEODERMA, 2020, 卷号: 357, 页码: 9
Authors:
Liu, Xueqi
;
Zhu, A-Xing
;
Yang, Lin
;
Pei, Tao
;
Liu, Junzhi
;
Zeng, Canying
;
Wang, Desheng
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Submit date:2020/05/19
Training sample selection method
Data mining model
Update conventional soil map
Soil-environmental relationships
Predictive mapping with small field sample data using semi-supervised machine learning
期刊论文
TRANSACTIONS IN GIS, 2019, 页码: 17
Authors:
Du, Fei
;
Zhu, A-Xing
;
Liu, Jing
;
Yang, Lin
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Submit date:2020/05/19
Evapotranspiration partitioning using an optimality-based ecohydrological model in a semiarid shrubland
期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2019, 卷号: 12, 期号: 12, 页码: 1423-1440
Authors:
Chen, Lajiao
;
Su, Liying
;
Liu, Weijiang
;
Wang, Lizhe
;
Wu, Hui
;
Zhu, A-Xing
;
Luo, Yiqi
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View/Download:9/0
  |  
Submit date:2020/05/19
ET partitioning
optimality-based ecohydrological model
VOM
semiarid shrubland
A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
期刊论文
CATENA, 2019, 卷号: 183, 页码: 17
Authors:
Zhu, A-Xing
;
Miao, Yamin
;
Liu, Junzhi
;
Bai, Shibiao
;
Zeng, Canying
;
Ma, Tianwu
;
Hong, Haoyuan
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  |  
Submit date:2020/05/19
Landslide absence data
Sampling method
Data-driven methods
Landslide susceptibility mapping, similarity model, data mining and machine learning
A modular and parallelized watershed modeling framework
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 卷号: 122, 页码: 16
Authors:
Zhu, Liang-Jun
;
Liu, Junzhi
;
Qin, Cheng-Zhi
;
Zhu, A-Xing
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View/Download:10/0
  |  
Submit date:2020/05/19
Watershed modeling framework
Modular
Parallelization
Watershed process simulation
SEIMS