"Performance analysis of Support Vector Machine, Random Forest, and Maximum Likelihood algorithms in land use classification of the metropolitan area of Mashhad."

Articles in Press, Accepted Manuscript, Available Online from 10 December 2024

10.48308/gisj.2024.236864.1230

sajedeh baghban; Mohammad Rahim Rahnama; Mohammad Ajza Shokuhi; Hossein Vahidi

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Land Use and Land Cover Classification by Combining GLCM, SNIC, and Machine Learning Algorithms in Google Earth Engine Environment (Case Study: Part of the Lands of North Mahabad, West Azerbaijan)

Volume 17, Issue 1, 2025, Pages 41-60

10.48308/gisj.2023.233271.1181

Mahdi Naderi

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The Effect of Different Cluster Sampling Schemes in Estimating the Quantitative Characteristics of Zagros Forests Using Sentinel 2 Sensor Images

Volume 14, Issue 4, 2023, Pages 71-86

10.52547/gisj.14.4.71

Nastaran Nazariani; Asghar Fallah; Habibolah Ramezani Moziraji; Hamed Naghavi; Hamid Jalilvand

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Object-Oriented Classification of Urban Areas Using a Combination of Sentinel-1 and Sentinel-2 Images

Volume 14, Issue 3, 2022, Pages 105-121

10.52547/gisj.14.3.105

Reza Shahhoseini; Kamal Azizi; Arastou Zarei; Fatemeh Moradi

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Mapping Vegetation in Riparian Areas Using Pixel-Based and Object-Based Classification of Sentinel-2 Multi-Temporal Imagery

Volume 13, Issue 3, 2021, Pages 19-32

10.52547/gisj.13.3.19

Ardalan Daryaei; Hormoz Sohrabi; Clement Atzberger; Markus Immitzer

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Comparison of Accuracy Between Support Vector Machine and Random Forest Classifiers for Land Use and Crop Mapping Using Multi-Temporal Sentinel-2 Images

Volume 12, Issue 4, 2021, Pages 73-92

10.52547/gisj.12.4.73

Zeinab Ghodsi; Mir Masoud Kheirkhah Zarkesh; Bagher Ghermezcheshmeh

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Medium Spatial Resolution Image Classification Based on Spatial and Thermal Indices

Volume 9, Issue 2, December 2017, Pages 117-132

A Shamsoddini; Sh Esmaeili

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