Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Rapid and uncontrolled population growth along with economic and industrial development, especially in developing countries during the late twentieth and early twenty-first centuries, have increased the rate of land-use/land-cover (LULC) change many times. Since quantitative assessment of changes in...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 12; H. 7; S. 1135
Hauptverfasser:	Talukdar, Swapan, Singha, Pankaj, Mahato, Susanta, Shahfahad, Pal, Swades, Liou, Yuei-An, Rahman, Atiqur
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 02.04.2020
Schlagworte:	artificial neural network developing countries Earth observations industrialization land cover land use and land cover maps land use change land use/land cover (LULC) machine learning algorithm neural networks population growth random forest remote sensing satellites support vector machines vegetation index
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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