Assessment of Supervised Classifiers for Land Cover Categorization Based on Integration of ALOS PALSAR and Landsat Data

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.net/journal/ars
E-mail: [email protected]

Citations

"Assessment of Supervised Classifiers for Land Cover Categorization Based on Integration of ALOS PALSAR and Landsat Data"
written by Dorothea Deus,
published by Advances in Remote Sensing, Vol.7 No.2, 2018

has been cited by the following article(s):

[1]	Makine Öğrenmesi Yöntemleri ile Şehirlerin Hava Kalitesi Tahmini
	… Journal of Advances in Engineering and Pure …, 2023

[2]	Hybrid learning model for analysing the Uppal earth region, in Telangana state, using multispectral Landsat-8 OLI images
	International Journal of Computer …, 2023

[3]	A Forest Monitoring System for Tanzania: Mapping Change and Extent
	2023

[4]	Optimal and robust vegetation mapping in complex environments using multiple satellite imagery: Application to mangroves in Southeast Asia
	2021

[5]	Assessment of Approaches for the Extraction of Building Footprints from PlÃ© iades Images
	Geomatics and Environmental …, 2021

[1]	Assessing the impact of Land Use Land Cover changes on land surface temperature over Kigali, Rwanda in the past three decades Environmental and Sustainability Indicators, 2024 DOI:10.1016/j.indic.2024.100452

[2]	Temiz Şehir: Makine Öğrenmesi Yöntemleri ile Hava Kalitesi Tahmini International Journal of Advances in Engineering and Pure Sciences, 2023 DOI:10.7240/jeps.1175507

[3]	Optimal and robust vegetation mapping in complex environments using multiple satellite imagery: Application to mangroves in Southeast Asia International Journal of Applied Earth Observation and Geoinformation, 2021 DOI:10.1016/j.jag.2021.102320

Top