A multisensor satellite image classification for the detection of mangrove forests in Qeshm Island (Southern Iran)

Author:

Karimzadeh SadraORCID,Kamran Khalil Valizadeh,Mahdavifard Mostafa

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Environmental Science (miscellaneous),Geography, Planning and Development

Reference43 articles.

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2. Ahmad A, Quegan S (2012) Analysis of maximum likelihood classification on multispectral data. Appl Math Sci 129:6425–6436

3. Başaran N, Küçük Matcı D, & Avdan U (2022) Using multiple linear regression to analyze changes in forest area: the case study of Akdeniz Region. Int J Eng Geosci 7 (3):247–263 . https://doi.org/10.26833/ijeg.976418

4. Beyer MH (2017) GLCM Texture: Tutor v. 3.0

5. Bihamta Toosi N, Soffianian AR, Fakheran S, Pourmanafi S. Ginzler CT Waser L Land (2020) Cover classification in mangrove ecosystems based on VHR satellite data and machine learning—An upscaling approach. Remote Sens 12:2684. https://doi.org/10.3390/rs12172684

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