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Vegetation Mapping in the Permafrost Region: A Case Study on the Central Qinghai-Tibet Plateau 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 1
作者:  Zou, Defu;  Zhao, Lin;  Liu, Guangyue;  Du, Erji;  Hu, Guojie;  Li, Zhibin;  Wu, Tonghua;  Wu, Xiaodong;  Chen, Jie
收藏  |  浏览/下载：14/0  |  提交时间：2022/03/17
vegetation mapping  alpine swamp meadow  random forest  permafrost region  Qinghai-Tibet Plateau  
Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau 期刊论文
发表期刊: GEODERMA REGIONAL. 出版年: 2022, 卷号: 28
作者:  Dharumarajan, S.;  Lalitha, M.;  Gomez, C.;  Vasundhara, R.;  Kalaiselvi, B.;  Hegde, Rajendra
收藏  |  浏览/下载：32/0  |  提交时间：2022/03/17
Hydraulic properties  Field capacity  Permanent wilting point  Vis-NIR spectroscopy  Random forest model  Alfisols  Vertisols  
Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data 期刊论文
发表期刊: ADVANCES IN SPACE RESEARCH. 出版年: 2022, 卷号: 69, 期号: 2
作者:  Aksoy, Samet;  Yildirim, Aylin;  Gorji, Taha;  Hamzehpour, Nikou;  Tanik, Aysegul;  Sertel, Elif
收藏  |  浏览/下载：27/0  |  提交时间：2022/03/17
Soil salinity  Electrical conductivity  Machine learning  Cross-validation  Google Earth Engine  
Random forest and naive Bayes approaches as tools for flash flood hazard susceptibility prediction, South Ras El-Zait, Gulf of Suez Coast, Egypt 期刊论文
发表期刊: ARABIAN JOURNAL OF GEOSCIENCES. 出版年: 2022, 卷号: 15, 期号: 3
作者:  Abu El-Magd, Sherif Ahmed
收藏  |  浏览/下载：46/0  |  提交时间：2022/03/17
Machine learning  Flash flood model  Naive Bayes  Random forest  Wadi El-Dib  Egypt  
Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2022, 卷号: 803
作者:  Ding, Lei;  Li, Zhenwang;  Shen, Beibei;  Wang, Xu;  Xu, Dawei;  Yan, Ruirui;  Yan, Yuchun;  Xin, Xiaoping;  Xiao, Jingfeng;  Li, Ming;  Wang, Ping
收藏  |  浏览/下载：30/0  |  提交时间：2021/11/19
Carbon cycle  MODIS  Climatic factors  Human activity  Aboveground biomass  Belowground biomass  
Leveraging Google Earth Engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2022, 卷号: 803
作者:  Gxokwe, Siyamthanda;  Dube, Timothy;  Mazvimavi, Dominic
收藏  |  浏览/下载：14/0  |  提交时间：2021/11/19
Limpopo River Basin  Object-based classification  Machine learning algorithm  Wetland mapping  Wetland condition  
Assessment of the impact of dust aerosols on crop and water loss in the Great Salt Desert in Iran 期刊论文
发表期刊: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 出版年: 2022, 卷号: 192
作者:  Boroughani, Mahdi;  Mohammadi, Maziar;  Mirchooli, Fahimeh;  Fiedler, Stephanie
收藏  |  浏览/下载：12/0  |  提交时间：2022/03/17
Crop loss  Dust susceptibility  Geographically weighted regression  Remote sensing  Water footprint  
DEM resolution effects on machine learning performance for flood probability mapping 期刊论文
发表期刊: JOURNAL OF HYDRO-ENVIRONMENT RESEARCH. 出版年: 2022, 卷号: 40
作者:  Avand, Mohammadtaghi;  Kuriqi, Alban;  Khazaei, Majid;  Ghorbanzadeh, Omid
收藏  |  浏览/下载：14/0  |  提交时间：2022/03/17
Heterogeneous data  Flood modelling  Random forest (RF)  Artificial neural network (ANN)  Generalized linear model (GLM)  
Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 出版年: 2022, 卷号: 19, 期号: 2
作者:  Wang, Yuting;  Wang, Shujian;  Xu, Ming
收藏  |  浏览/下载：11/0  |  提交时间：2022/03/17
unmanned aerial vehicle (UAV)  electroencephalogram (EEG) features  landscape perception  machine learning  
Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates 期刊论文
发表期刊: CATENA. 出版年: 2022, 卷号: 208
作者:  Zeraatpisheh, Mojtaba;  Garosi, Younes;  Owliaie, Hamid Reza;  Ayoubi, Shamsollah;  Taghizadeh-Mehrjardi, Ruhollah;  Scholten, Thomas;  Xu, Ming
收藏  |  浏览/下载：14/0  |  提交时间：2021/11/19
Soil organic carbon  Spatial prediction  Environmental covariates  Time-series vegetation indices  Machine learning  Uncertainty