Land use/land cover classification with Landsat-8 and Landsat-9 satellite images: a comparative analysis between forest- and agriculture-dominated landscapes using different machine learning methods-Reference-Cited by-同舟云学术

Land use/land cover classification with Landsat-8 and Landsat-9 satellite images: a comparative analysis between forest- and agriculture-dominated landscapes using different machine learning methods

Published:2022-12 Issue:4 Volume:57 Page:695-716
ISSN:2213-5812
Container-title:Acta Geodaetica et Geophysica
language:en
Short-container-title:Acta Geod Geophys

Author:

Saralioglu Ekrem^ORCID,Vatandaslar Can^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geophysics,Building and Construction

Link

https://link.springer.com/content/pdf/10.1007/s40328-022-00400-9.pdf

Reference43 articles.

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3. Carranza-García M, García-Gutiérrez J, Riquelme JC (2019) A framework for evaluating land use and land cover classification using convolutional neural networks. Remote Sens 11(3):274

4. Chrysafis I, Mallinis G, Gitas I, Tsakiri-Strati M (2017) Estimating Mediterranean Forest parameters using multi seasonal Landsat 8 OLI imagery and an ensemble learning method. Remote Sens Environ 199:154–166. https://doi.org/10.1016/j.rse.2017.07.018

5. Congalton RG, Green K (2009) Assessing the accuracy of remotely sensed data: principles and practices. CRC Press, Boca Raton

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