Arid

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Lithological Discrimination of Khyber Range Using Remote Sensing and Machine Learning Algorithms 期刊论文
发表期刊: APPLIED SCIENCES-BASEL. 出版年: 2024, 卷号: 14, 期号: 12
作者:  Ali, Sajid;  Li, Huan;  Ali, Asghar;  Hassan, Jubril Izge
收藏  |  浏览/下载:22/0  |  提交时间:2024/10/04
remote sensing  machine learning  SVM  MLC  lithology  ASTER  OLI  Khyber  
Using quantile mapping and random forest for bias-correction of high-resolution reanalysis precipitation data and CMIP6 climate projections over Iran 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF CLIMATOLOGY. 出版年: 2024
作者:  Raeesi, Maryam;  Zolfaghari, Ali Asghar;  Kaboli, Seyed Hasan;  Rahimi, Mohammad;  de Vente, Joris;  Eekhout, Joris P. C.
收藏  |  浏览/下载:19/0  |  提交时间:2024/10/04
annual precipitation projection  bias-correction methods  data mining  ERA5-Land reanalysis data  quantile mapping  random forest algorithm  
Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran 期刊论文
发表期刊: ARID LAND RESEARCH AND MANAGEMENT. 出版年: 2023, 卷号: 37, 期号: 1, 页码: 71-91
作者:  Chakherlou, Saghar;  Jafarzadeh, Ali Asghar;  Ahmadi, Abbas;  Feizizadeh, Bakhtiar;  Shahbazi, Farzin;  Boloorani, Ali Darvishi;  Mirzaei, Saham
收藏  |  浏览/下载:18/0  |  提交时间:2024/09/29
Landsat  MCDA  soil erodibility  soil wind erosion  Urmia Lake  
Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2023, 卷号: 15, 期号: 9
作者:  Yarmohamadi, Mahdis;  Alesheikh, Ali Asghar;  Sharif, Mohammad;  Vahidi, Hossein
收藏  |  浏览/下载:12/0  |  提交时间:2024/09/29
movement prediction  moving process  deep learning  dust storms  MERRA-2  urban resilience and preparedness  
Potential use of endophytic and rhizosheath bacteria from the desert plant Stipagrostis pennata as biostimulant against drought in wheat cultivars 期刊论文
发表期刊: RHIZOSPHERE. 出版年: 2022, 卷号: 24
作者:  Naderi, Kamyab;  Etesami, Hassan;  Alikhani, Hossein Ali;  Arani, Asghar Mosleh
收藏  |  浏览/下载:8/0  |  提交时间:2024/09/20
Drought resistant and sensitive cultivars  Drought-resistant bacteria  Plant growth-promoting traits  Pantoea agglomerans  Pseudomonas sp  
Land capability evaluation using NRCS agricultural land evaluation and site assessment (LESA) system in a semi-arid region of Iran 期刊论文
发表期刊: ENVIRONMENTAL EARTH SCIENCES. 出版年: 2021, 卷号: 80, 期号: 4
作者:  Esmaeili, Ensieh;  Shahbazi, Farzin;  Sarmadian, Fereydoon;  Jafarzadeh, Ali Asghar;  Hayati, Babollah
收藏  |  浏览/下载:34/0  |  提交时间:2021/07/30
Land capability  LESA system  Semi-arid  Thematic maps  GIS  
Environmental significance of benthic foraminifera and microfacies of central Tethyan Upper Triassic strata, central Iran 期刊论文
发表期刊: STRATIGRAPHY. 出版年: 2021, 卷号: 18, 期号: 2, 页码: 89-102
作者:  Bagi, Hoseeinali;  Atesampour, Asghar;  Rahimi, Ali
收藏  |  浏览/下载:24/0  |  提交时间:2021/11/29
Nayband Formation  Tethys  Upper Triassic  Benthic foraminifera  Microfacies  
Combination of MIR spectroscopy and environmental covariates to predict soil organic carbon in a semi-arid region 期刊论文
发表期刊: CATENA. 出版年: 2021, 卷号: 196
作者:  Sabetizade, Marmar;  Gorji, Manouchehr;  Roudier, Pierre;  Zolfaghari, Ali Asghar;  Keshavarzi, Ali
收藏  |  浏览/下载:23/0  |  提交时间:2021/01/07
SOC  Soil spectroscopy  Remote sensing  DEM  Recursive feature elimination  Cubist  
Introducing an appropriate empirical method for estimating sediment delivery ratio (SDR) via sedimentometry of check-dams in small catchments in arid regions (Semnan province, Iran) 期刊论文
发表期刊: ARABIAN JOURNAL OF GEOSCIENCES. 出版年: 2021, 卷号: 14, 期号: 12
作者:  Etemadi, Hossein;  Nikoo, Shima;  Hashemi, Seyed Ali Asghar
收藏  |  浏览/下载:18/0  |  提交时间:2021/11/19
SDR  Arid regions  Calibration  Small catchment  
Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon 期刊论文
发表期刊: CATENA. 出版年: 2021, 卷号: 202
作者:  Goydaragh, Maryam Ghebleh;  Taghizadeh-Mehrjardi, Ruhollah;  Jafarzadeh, Ali Asghar;  Triantafilis, John;  Lado, Marcos
收藏  |  浏览/下载:24/0  |  提交时间:2021/11/29
Aridisols  Digital soil mapping  Hybrid models  Machine-learning  Mid-IR spectral data