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Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 11
Authors:  Li, Kai;  Wang, Juanle;  Yao, Jinyi
Favorite  |  View/Download:13/0  |  Submit date:2021/11/05
Water Segmentation  Pixel-based CNN  ROI  U-net  Mongolia  
Hybridization of cokriging and gaussian process regression modelling techniques in mapping soil sulphur 期刊论文
CATENA, 2021, 卷号: 206, 页码: 18
Authors:  John, Kingsley;  Agyeman, Prince Chapman;  Kebonye, Ndiye Michael;  Isong, Isong Abraham;  Ayito, Esther O.;  Ofem, Kokei Ikpi;  Qin, Cheng-Zhi
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Soil nutrient distribution  Digital soil mapping  Machine learning  Cokriging  Agricultural productivity  
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12
Authors:  Li, Linchao;  Wang, Bin;  Feng, Puyu;  Wang, Huanhuan;  He, Qinsi;  Wang, Yakai;  Liu, De Li;  Li, Yi;  He, Jianqiang;  Feng, Hao;  Yang, Guijun;  Yu, Qiang
Favorite  |  View/Download:5/0  |  Submit date:2021/11/05
Crop yield forecast  Climate extremes  Remote sensing  Random forest  Lead time  Variable importance  
Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18
Authors:  Yin, Lichang;  Tao, Fulu;  Chen, Yi;  Liu, Fengshan;  Hu, Jian
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Evapotranspiration  Machine learning  process-based ET  ET integration  China  Gaussian process regression  
Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 20
Authors:  Ma, Nan;  Sun, Lin;  Zhou, Chenghu;  He, Yawen
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ASTER spectral library  hyperspectral data  1D convolutional neural network  cloud detection  data simulation  multi-satellite remote sensing images  
A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area 期刊论文
MINE WATER AND THE ENVIRONMENT, 2021, 页码: 10
Authors:  Lin, Gang;  Jiang, Dong;  Dong, Donglin;  Fu, Jingying;  Li, Xiang
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Water inrush source identification  Hydrochemical analysis  Improved genetic algorithm  Extreme learning machine  Zhaogezhuang mine  
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China 期刊论文
SPATIAL STATISTICS, 2021, 卷号: 42, 页码: 19
Authors:  Liu, Mengxiao;  Hu, Shan;  Ge, Yong;  Heuvelink, Gerard B. M.;  Ren, Zhoupeng;  Huang, Xiaoran
Favorite  |  View/Download:12/0  |  Submit date:2021/06/10
Poverty  Spatial  Determinants  LMG  Random forest  Variable importance  
Mapping Rice Paddy Distribution Using Remote Sensing by Coupling Deep Learning with Phenological Characteristics 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 7, 页码: 16
Authors:  Zhu, A-Xing;  Zhao, Fang-He;  Pan, Hao-Bo;  Liu, Jun-Zhi
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rice paddy distribution  remote sensing  phenological characteristics  deep learning  machine learning  spatial prediction  
Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 297, 页码: 15
Authors:  Cao, Juan;  Zhang, Zhao;  Tao, Fulu;  Zhang, Liangliang;  Luo, Yuchuan;  Zhang, Jing;  Han, Jichong;  Xie, Jun
Favorite  |  View/Download:37/0  |  Submit date:2021/03/15
Rice  Google Earth Engine (GEE)  Machine Learning (ML)  Deep Learning (DL)  Yield prediction  Early warning system  
Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 9
Authors:  Lu, Jiaying;  Bu, Pengju;  Xia, Xiaolin;  Lu, Ning;  Yao, Ling;  Jiang, Hou
Favorite  |  View/Download:12/0  |  Submit date:2021/04/25
PM2  5 exposure  Respiratory diseases  Emergency room visits  Machine learning