Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques

Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques

Accurate land use land cover (LULC) classification is vital for the sustainable management of natural resources and to learn how the landscape is changing due to climate. For accurate and efficient LULC classification, high-quality datasets and robust classification methods are required. With the in...

Full description

Bibliographic Details
Main Authors: Sana Basheer, Xiuquan Wang, Aitazaz A. Farooque, Rana Ali Nawaz, Kai Liu, Toyin Adekanmbi, Suqi Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
remote sensing
LULC classification
ArcGIS Pro
Google Earth Engine
machine learning
change detection
Online Access:https://www.mdpi.com/2072-4292/14/19/4978

Internet

https://www.mdpi.com/2072-4292/14/19/4978

Similar Items