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The Status and Influencing Factors of Surface Water Dynamics on the Qinghai-Tibet Plateau During 2000-2020 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61
作者:  Ran, Qinwei;  Aires, Filipe;  Ciais, Philippe;  Qiu, Chunjing;  Hu, Ronghai;  Fu, Zheng;  Xue, Kai;  Wang, Yanfen
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/01
Influencing mechanism  Qinghai-Tibet plateau  random forest (RF)  spatial-temporal variability  surface water mapping  two-step classification framework  
Study on the characteristics of solar shortwave irradiance and comparative analysis of short-term irradiance prediction of Yangbajing, Tibet 期刊论文
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 8
作者:  Wu LingXiao;  Wang YiNan;  Wang Dui;  Li Ming;  Ciren Nima;  Chen TianLu
收藏  |  浏览/下载：6/0  |  提交时间：2024/03/01
Solar irradiance  Short-term forecasting  ARIMA  Random forest (RF)  Prophet  Yangbajing  
PCA-RF model for Dendrolimus punctatus Walker damage detection 期刊论文
Natural Hazards, 2021, 卷号: 106, 期号: 1
作者:  Xu Z.;  Shi W.;  Lin L.;  Huang X.;  Wang Y.;  Liu J.;  Yu K.
收藏  |  浏览/下载：25/0  |  提交时间：2021/09/01
BP neural networks (BPNN)  Dendrolimus punctatus Walker damage  Fisher discriminant analysis (FDA)  PCA-RF  Principal component analysis (PCA)  Random forest (RF)  
An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 3
作者:  Chen J.;  Liu L.;  Pei J.;  Deng M.
收藏  |  浏览/下载：40/0  |  提交时间：2021/09/01
Deep belief nets (DBN)  Rainstorm hazard  Random forest (RF)  Regional rainstorm  Regulation countermeasure  
Landslide zonation and assessment of Farizi watershed in northeastern Iran using data mining techniques 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 3
作者:  Naemitabar M.;  Zanganeh Asadi M.
收藏  |  浏览/下载：8/0  |  提交时间：2021/09/01
Farizi watershed  Landslide  Logistic model tree (LMT)  Support vector machine (SVM)  The boosted regression trees (BRT) model  The random forest (RF) algorithm  
Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230
作者:  Zheng T.;  Bergin M.H.;  Hu S.;  Miller J.;  Carlson D.E.
收藏  |  浏览/下载：29/0  |  提交时间：2022/01/18
CNN  Computer vision  Convolutional neural network  Fine particulate matter (PM2.5) prediction  Random forest  RF  Satellite imagery  
A New Application of Random Forest Algorithm to Estimate Coverage of Moss-Dominated Biological Soil Crusts in Semi-Arid Mu Us Sandy Land, China 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:  Chen, Xiang;  Wang, Tao;  Liu, Shulin;  Peng, Fei;  Tsunekawa, Atsushi;  Kang, Wenping;  Guo, Zichen;  Feng, Kun
收藏  |  浏览/下载：66/0  |  提交时间：2019/11/08
moss-dominated biological soil crusts (BSCs)  random forest (RF) algorithm  in-situ hyperspectral dataset  multispectral remote sensing  Mu Us Sandy Land