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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 Hydrology
discipline_facet Hydrology
format Online Article
RSS Article
genre Journal Article
id rss_article:68180
institution FRELIP
journal_source_facet Journal of Hydrology and Hydromechanics
last_indexed 2026-06-20T21:28:40.759Z
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
General
Hydrology
sub_discipline_display General
sub_discipline_facet General
subject_display Hydrology
General
Hydrology
subject_facet Hydrology
General
Hydrology
title Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_alt Utilización de modelos de escenarios de uso del suelo y aprendizaje automático para mitigar riesgos de sequía en paisajes degradados
Utilisation de la modélisation de scénarios d'occupation des sols et de l'apprentissage automatique pour atténuer les risques de sécheresse dans les paysages dégradés
Utilização de modelagem de cenários de uso da terra e aprendizado de máquina para mitigar riscos de seca em paisagens degradadas
title_auth Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes
title_es_txt Utilización de modelos de escenarios de uso del suelo y aprendizaje automático para mitigar riesgos de sequía en paisajes degradados
title_fr_txt Utilisation de la modélisation de scénarios d'occupation des sols et de l'apprentissage automatique pour atténuer les risques de sécheresse dans les paysages dégradés
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_pt_txt Utilização de modelagem de cenários de uso da terra e aprendizado de máquina para mitigar riscos de seca em paisagens degradadas
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
General
Hydrology
url https://sciendo.com/article/10.2478/johh-2025-0020