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Evaluation of SMAP-Enhanced Products Using Upscaled Soil Moisture Data Based on Random Forest Regression: A Case Study of the Qinghai-Tibet Plateau, China 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 卷号: 12, 期号: 7
作者:  Chen, Jia;  Hu, Fengmin;  Li, Junjie;  Xie, Yijia;  Zhang, Wen;  Huang, Changqing;  Meng, Lingkui
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/01
soil moisture  SMAP  evaluation  sparse ground-based sites  upscaling  random forest regression  
Investigating the application of artificial intelligence for earthquake prediction in Terengganu 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 1
作者:  Marhain S.;  Ahmed A.N.;  Murti M.A.;  Kumar P.;  El-Shafie A.
收藏  |  浏览/下载：66/0  |  提交时间：2021/09/01
Artificial intelligence  Boosted decision tree regression  Earthquake prediction  Machine learning algorithm  Multivariate adaptive regression spline  Pearson correlation coefficient  Random forest  Support vector machine  Uncertainty analysis  
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 2
作者:  Akinci H.;  Zeybek M.
收藏  |  浏览/下载：14/0  |  提交时间：2021/09/01
GIS  Landslide susceptibility assessment  Logistic regression  Random forest  Support vector machine  
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：10/0  |  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  
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者:  Chowdhuri I.;  Pal S.C.;  Chakrabortty R.;  Malik S.;  Das B.;  Roy P.
收藏  |  浏览/下载：49/0  |  提交时间：2021/09/01
Boosted regression tree  Ensemble methods  Landslide susceptibility  Logistic regression  Random forest  
Prediction model based on the Laplacian eigenmap method combined with a random forest algorithm for rainstorm satellite images during the first annual rainy season in South China 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者:  Huang X.-Y.;  He L.;  Zhao H.-S.;  Huang Y.;  Wu Y.-S.
收藏  |  浏览/下载：16/0  |  提交时间：2021/09/01
Heavy rainfall  Laplacian eigenmaps  Multiple linear regression  Random forest algorithm  Satellite cloud images  
Enhancing the Evaluation and Interpretability of Data-Driven Air Quality Models 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者:  Gu J.;  Yang B.;  Brauer M.;  Zhang K.M.
收藏  |  浏览/下载：45/0  |  提交时间：2022/01/18
Air quality modeling  Data-driven model  Linear regression  Model evaluation  Model interpretability  Random forest  Repeated cross-validations  SHAP  
High Spatial Resolution Topsoil Organic Matter Content Mapping Across Desertified Land in Northern China 期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 卷号: 9
作者:  Yang Junting;  Li Xiaosong;  Wu Bo;  Wu Junjun;  Sun Bin;  Yan Changzhen;  Gao Zhihai
收藏  |  浏览/下载：42/0  |  提交时间：2022/04/28
SOIL TOTAL NITROGEN  SEMIARID REGION  CARBON STOCKS  RANDOM FOREST  PREDICTION  VEGETATION  REGRESSION  SUPPORT  GRASSLAND  PATTERN  
An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14
作者:  Lou, Peiqing;  Fu, Bolin;  He, Hongchang;  Chen, Jianjun;  Wu, Tonghua;  Lin, Xingchen;  Liu, Lilong;  Fan, Donglin;  Deng, Tengfang
收藏  |  浏览/下载：30/0  |  提交时间：2022/04/28
LEAF-AREA INDEX  RANDOM FOREST REGRESSION  SPECTRAL REFLECTANCE  BIOPHYSICAL PARAMETERS  WORLDVIEW-2 IMAGERY  CONTENT PREDICTION  ZOIGE PLATEAU  WETLAND  RETRIEVAL  SENTINEL-2  
Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 592
作者:  Qu, Yuquan;  Zhu, Zhongli;  Montzka, Carsten;  Chai, Linna;  Liu, Shaomin;  Ge, Yong;  Liu, Jin;  Lu, Zheng;  He, Xinlei;  Zheng, Jie;  Han, Tian
收藏  |  浏览/下载：33/0  |  提交时间：2022/04/28
REGRESSION NEURAL-NETWORKS  LAND-SURFACE TEMPERATURE  L-BAND RADIOMETER  HIGH-RESOLUTION  AMSR-E  RANDOM FOREST  SATELLITE  ALGORITHM  SMOS  RADAR