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Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches

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Bibliographic Details
Published in:Earth System Science Data (ESSD)
Format: Online Article RSS Article
Published: 2026
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container_title Earth System Science Data (ESSD)
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:99357
institution FRELIP
journal_source_facet Earth System Science Data (ESSD)
last_indexed 2026-07-04T03:36:18.591Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_alt Mapeo global de aerogeneradores terrestres utilizando imágenes de teledetección multiespectral y enfoques de aprendizaje híbrido
Cartographie mondiale des éoliennes terrestres à l'aide d'images de télédétection multi-sources et d'approches d'apprentissage hybride
Mapeamento global de turbinas eólicas onshore usando imagens de sensoriamento remoto multi-fonte e abordagens de aprendizado híbrido
title_auth Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_es_txt Mapeo global de aerogeneradores terrestres utilizando imágenes de teledetección multiespectral y enfoques de aprendizaje híbrido
title_fr_txt Cartographie mondiale des éoliennes terrestres à l'aide d'images de télédétection multi-sources et d'approches d'apprentissage hybride
title_full Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_fullStr Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_full_unstemmed Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_pt_txt Mapeamento global de turbinas eólicas onshore usando imagens de sensoriamento remoto multi-fonte e abordagens de aprendizado híbrido
title_short Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
title_sort mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches
topic Environmental Studies
General
Environmental Studies
url https://doi.org/10.5194/essd-18-4523-2026