Evaluation of Different Classification Algorithms for Land Use Land Cover Mapping

Evaluation of Different Classification Algorithms for Land Use Land Cover Mapping

For efficient sustainable management and monitoring landscape changes over times, reliable land use land cover (LULC) mapping using the most accurate classification algorithms is required. Increasing innovative classification algorithms and satellite data demands finding the most suitable classifie...

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Bibliographic Details
Main Authors: Kaifi Chomani, Shaki Pshdari
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2024-08-01
Series:Kurdistan Journal of Applied Research
Subjects:
Satellite imagery
LULC
GIS
Google earth engine
Image classification
Machine learning
Online Access:https://www.spu.edu.krd/kjar/index.php/kjar/article/view/925

Internet

https://www.spu.edu.krd/kjar/index.php/kjar/article/view/925

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