Comparison of Three Machine Learning Algorithms Using Google Earth Engine for Land Use Land Cover Classification-Reference-Cited by-同舟云学术

Comparison of Three Machine Learning Algorithms Using Google Earth Engine for Land Use Land Cover Classification

Published:2024-01 Issue: Volume:92 Page:129-137
ISSN:1550-7424
Container-title:Rangeland Ecology & Management
language:en
Short-container-title:Rangeland Ecology & Management

Author:

Zhao Zhewen,Islam Fakhrul,Waseem Liaqat Ali,Tariq Aqil^ORCID,Nawaz Muhammad,Islam Ijaz Ul,Bibi Tehmina,Rehman Nazir Ur,Ahmad Waqar,Aslam Rana Waqar^ORCID,Raza Danish^ORCID,Hatamleh Wesam Atef

Funder

King Saud University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Animal Science and Zoology,Ecology

Reference71 articles.

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4. Comprehensive genomic analysis of Bacillus paralicheniformis strain BP9, pan-genomic and genetic basis of biocontrol mechanism;Asif;Computational and Structural Biotechnology Journal,2023

5. Comparison between random forest and support vector machine algorithms for LULC classification;AVCI;International Journal of Engineering Geosciences,2021

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