中文版 | English

在结果中检索

Arid

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2021, 卷号: 13, 期号: 23
作者:  Naimi, Salman;  Ayoubi, Shamsollah;  Zeraatpisheh, Mojtaba;  Dematte, Jose Alexandre Melo
收藏  |  浏览/下载：4/0  |  提交时间：2022/02/12
soil salinization  machine learning  remote and proximal sensing  Sentinel-2 MSI  SySI  soil health  
Conventional and digital soil mapping in Iran: Past, present, and future 期刊论文
发表期刊: CATENA. 出版年: 2020, 卷号: 188
作者:  Zeraatpisheh, Mojtaba;  Jafari, Azam;  Bodaghabadi, Mohsen Bagheri;  Ayoubi, Shamsollah;  Taghizadeh-Mehrjardi, Ruhollah;  Toomanian, Norair;  Kerry, Ruth;  Xu, Ming
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/22
Soil survey  Environmental variables  Soil properties and classes  Legacy soil map  Soil-landscape modeling  Machine learning  
Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF REMOTE SENSING. 出版年: 2020, 卷号: 41, 期号: 19, 页码: 7624-7648
作者:  Asgari, Najmeh;  Ayoubi, Shamsollah;  Jafari, Azam;  Dematte, Jose A. M.
收藏  |  浏览/下载：7/0  |  提交时间：2021/01/07
Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran 期刊论文
发表期刊: GEOMORPHOLOGY. 出版年: 2017, 卷号: 285, 页码: 186-204
作者:  Zeraatpisheh, Mojtaba;  Ayoubi, Shamsollah;  Jafari, Azam;  Finke, Peter
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/29
Digital soil mapping  Conventional soil mapping  Map purity  Modelling efficiency  Multinomial logistic regression  Random forest  
Spatial prediction of soil great groups by boosted regression trees using a limited point dataset in an arid region, southeastern Iran 期刊论文
发表期刊: GEODERMA. 出版年: 2014, 卷号: 232, 页码: 148-163
作者:  Jafari, Azam;  Khademi, Hossein;  Finke, Peter A.;  Van de Wauw, Johan;  Ayoubi, Shamsollah
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/29
Boosted regression tree  Soil great groups  Soil diagnostic horizons  Limited dataset