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Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands

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Published in:Environmental Systems Research
Format: Online Article RSS Article
Published: 2026
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container_title Environmental Systems Research
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discipline_display Environmental Studies
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journal_source_facet Environmental Systems Research
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publishDate 2026
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spellingShingle Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
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 Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_alt Mejora del modelado del cambio de cobertura del suelo con aprendizaje automático: un análisis comparativo de SVM y XGBoost en las tierras bajas de Lesoto
Amélioration de la modélisation du changement d'occupation des sols avec l'apprentissage automatique : une analyse comparative de SVM et XGBoost dans les basses terres du Lesotho
Melhorando a modelagem de mudança na cobertura da terra com aprendizado de máquina: uma análise comparativa de SVM e XGBoost nas Terras Baixas do Lesoto
title_auth Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_es_txt Mejora del modelado del cambio de cobertura del suelo con aprendizaje automático: un análisis comparativo de SVM y XGBoost en las tierras bajas de Lesoto
title_fr_txt Amélioration de la modélisation du changement d'occupation des sols avec l'apprentissage automatique : une analyse comparative de SVM et XGBoost dans les basses terres du Lesotho
title_full Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_fullStr Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_full_unstemmed Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_pt_txt Melhorando a modelagem de mudança na cobertura da terra com aprendizado de máquina: uma análise comparativa de SVM e XGBoost nas Terras Baixas do Lesoto
title_short Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
title_sort improving land cover change modelling with machine learning: a comparative analysis of svm and xgboost in the lesotho lowlands
topic Environmental Studies
General
Environmental Studies
url https://link.springer.com/article/10.1186/s40068-026-00465-3