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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究... [31]
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期刊论文 [127]
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Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780
作者:
Wang, Wentao
;
Zhang, Ping
;
Han, Yuanyuan
;
Zhang, Fengqian
;
Huang, Yue
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
PM 2.5 pollution
Land use regression model
Machine learning ensemble method
Space-time weighting information
Spatiotemporal modelling
The stacking method enhances machine learning models for monitoring and understanding regional soil available nitrogen variations in croplands
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2026, 卷号: 256, 页码: 106880
作者:
Lei, Sihong
;
Shao, Mingan
;
Jia, Xiaoxu
;
Zhu, Zhaocen
;
Zhao, Chunlei
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Agricultural ecosystem
Machine learning
Model ensemble
Quantitative prediction
Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2473639
作者:
Lu, Jiaying
;
Yao, Ling
;
Qin, Jun
;
Jiang, Hou
;
Zhou, Chenghu
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收藏
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浏览/下载:177/0
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提交时间:2025/04/21
Global drought
aridity index
climate change
remote sensing
ensemble learning
Geospatial heterogeneity-informed machine learning for mapping soil hydraulic properties across China's drylands
期刊论文
OAI收割
GEODERMA, 2025, 卷号: 464, 页码: 117622
作者:
Niu, Liantao
;
Jia, Xiaoxu
;
Dai, Xiaoliang
;
Gao, Lei
;
Huang, Laiming
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收藏
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浏览/下载:0/0
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提交时间:2026/01/21
Soil hydraulic parameters
Pedo-transfer functions
Machine learning
Geospatial heterogeneity
Ensemble model
Integrating PolSAR and Optical Data for Forest Aboveground Biomass Estimation with an Interpretable Bayesian-Optimized XGBoost Model
期刊论文
OAI收割
SUSTAINABILITY, 2025, 卷号: 17, 期号: 21, 页码: 9749
作者:
Zhou, Xinshao
;
Wang, Zhiqiang
;
Wang, Zhaosheng
;
Wang, Yonghong
;
Li, Chaokui
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收藏
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浏览/下载:0/0
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提交时间:2025/12/19
aboveground biomass
Sentinel-2
ALOS-2
Bayesian optimization
ensemble learning
Sandy Beach Extraction Method Based on Multi-Source Data and Feature Optimization: A Case in Fujian Province, China
期刊论文
OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 16, 页码: 2754
作者:
Meng, Jie
;
Xu, Duanyang
;
Tao, Zexing
;
Ge, Quansheng
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
sandy beach
multi-source data
recursive feature elimination
ensemble learning
Fujian
All-Weather Precipitable Water Vapor Retrieval over Land Using Integrated Near-Infrared and Microwave Satellite Observations
期刊论文
OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 15, 页码: 2730
作者:
Song, Shipeng
;
Zhu, Mengyao
;
Tao, Zexing
;
Xu, Duanyang
;
Jiao, Sunxin
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收藏
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浏览/下载:0/0
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提交时间:2025/09/22
precipitable water vapor
near-infrared
passive microwave
ensemble learning
Retrieval of non-optical active water quality parameters in complex Lake environments using a novel zoning-based ensemble modeling strategy
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2025, 卷号: 176, 页码: 113723
作者:
Cai, Cheng
;
Liu, Linlin
;
Wang, Ziming
;
Pang, Wei
;
Bai, Congshuo
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收藏
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浏览/下载:27/0
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提交时间:2025/07/18
Remote Sensing
NAWQPs
Hyperspectral Imaging
Aquatic vegetation
Ensemble Learning
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 650, 页码: 17
作者:
Zhang, Jiawen
;
Kong, Dongdong
;
Li, Jianfeng
;
Qiu, Jianxiu
;
Zhang, Yongqiang
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收藏
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浏览/下载:49/0
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提交时间:2025/03/31
Streamflow simulation
Machine learning
Hydrological model
Multi-model weighting ensemble
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
期刊论文
OAI收割
EARTH SCIENCE INFORMATICS, 2025, 卷号: 18, 期号: 3, 页码: 270
作者:
Shahzad, Fahad
;
Mehmood, Kaleem
;
Anees, Shoaib Ahmad
;
Adnan, Muhammad
;
Muhammad, Sultan
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收藏
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浏览/下载:45/0
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提交时间:2025/03/18
Forest fire
Multi-layer ensemble model
Machine learning
Probability mapping
Malakand division