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)

Articles in Press, Accepted Manuscript, Available Online from 29 November 2023

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, January 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, October 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, November 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, February 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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• PDF 12.17 M