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Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes

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Bibliographic Details
Published in:Journal of Hydrology and Hydromechanics
Format: Online Article RSS Article
Published: 2025
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container_title Journal of Hydrology and Hydromechanics
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:26128
institution FRELIP
journal_source_facet Journal of Hydrology and Hydromechanics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
— — — — — — Hydrology
Water Resources
Environmental Sciences
sub_discipline_display Water Resources
sub_discipline_facet Water Resources
subject_display — — — — — — Hydrology
Water Resources
Environmental Sciences
— — — — — — Hydrology
Water Resources
Environmental Sciences
subject_facet — — — — — — Hydrology
Water Resources
Environmental Sciences
title Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_auth Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_full Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_fullStr Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_full_unstemmed Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_short Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_sort utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
topic — — — — — — Hydrology
Water Resources
Environmental Sciences
url https://sciendo.com/article/10.2478/johh-2025-0020