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Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye

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Bibliographic Details
Published in:International Journal of Engineering and Geosciences
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Engineering and Geosciences
description
discipline_display Geology
discipline_facet Geology
format Online Article
RSS Article
genre Journal Article
id rss_article:96946
institution FRELIP
journal_source_facet International Journal of Engineering and Geosciences
last_indexed 2026-06-29T03:31:35.218Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
Geology
General
Geology
sub_discipline_display General
sub_discipline_facet General
subject_display Geology
General
Geology
subject_facet Geology
General
Geology
title Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_alt Mejora de la precisión de la clasificación de cobertura del suelo utilizando datos auxiliares: un estudio con Sentinel-2 y Google Earth Engine en el distrito de 19 Mayıs, Türkiye
Amélioration de la précision de la classification de la couverture terrestre en utilisant des données auxiliaires : une étude Sentinel-2 et Google Earth Engine dans le district de 19 Mayıs, Türkiye
Melhorando a Precisão da Classificação da Cobertura da Terra Usando Dados Auxiliares: Um Estudo com Sentinel-2 e Google Earth Engine no Distrito de 19 Mayıs, Türkiye
title_auth Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_es_txt Mejora de la precisión de la clasificación de cobertura del suelo utilizando datos auxiliares: un estudio con Sentinel-2 y Google Earth Engine en el distrito de 19 Mayıs, Türkiye
title_fr_txt Amélioration de la précision de la classification de la couverture terrestre en utilisant des données auxiliaires : une étude Sentinel-2 et Google Earth Engine dans le district de 19 Mayıs, Türkiye
title_full Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_fullStr Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_full_unstemmed Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_pt_txt Melhorando a Precisão da Classificação da Cobertura da Terra Usando Dados Auxiliares: Um Estudo com Sentinel-2 e Google Earth Engine no Distrito de 19 Mayıs, Türkiye
title_short Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
title_sort improving land cover classification accuracy using ancillary data: a sentinel-2 and google earth engine study in 19 mayıs district, türkiye
topic Geology
General
Geology
url https://dergipark.org.tr/en/pub/ijeg/article/1870242%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20