Open AccessAssessing the performance of machine learning algorithms in Google Earth Engine for land use and land cover analysis: A case study of Muğla province, Türkiye
Author(s) -
Hazal Yalçın Bayrakdar,
Mehtap Özenen Kavlak,
Burcu Yılmazel,
Alper Çabuk
Publication year - 2022
Publication title -
journal of design for resilience in architecture and planning :
Language(s) - English
Resource type - Journals
ISSN - 2757-6329
DOI - 10.47818/drarch.2022.v3i2055
Subject(s) - support vector machine , land cover , random forest , normalized difference vegetation index , algorithm , computer science , machine learning , artificial intelligence , land use , remote sensing , geography , climate change , geology , engineering , oceanography , civil engineering