Potatoes fields mapping based on the phenology feature and Support Vector Machine utilizing Google Earth Engine platform

Articles in Press, Accepted Manuscript, Available Online from 06 February 2023

10.48308/gisj.2023.103148

Salman Goodarzdashti; Mohamad Seifi; Mahshid Kohandel; Davoud Ashourloo; Hossein Aghighi

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"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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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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Estimation of Agricultural Crop Yield Using Sentinel-2 Images (Case Study: Zanjan City)

Volume 13, Issue 2, 2021, Pages 61-74

10.52547/gisj.13.2.61

Seyed Ahmad Mousavi; milad janalipour; Nadia Abbaszadeh Tehrani

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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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Determine the Vulnerability of the Aquifer Using the Standard Drastic and Data-Based Methods (Case Study: Kochisfahan Aquifer)

Volume 9, Issue 2, December 2017, Pages 99-116

I Yoosefdoo; A Khashei Siuki

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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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Assessment of SVM and MLC Algorithms on Landuse/ Landcover Mapping of Riparian Forest, Using OLI Sensor (Case Study: Riparian Forest of Maroon, Behbahan)

Volume 9, Issue 1, October 2017, Pages 49-62

, A.A Torahi; M FiroziNejad,; , A Abdolkhani

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