An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems

Mapping land use and land cover (LULC) using remote sensing is fundamental to environmental monitoring, spatial planning and characterising drivers of change in landscapes. We develop a new, general and versatile approach for mapping LULC in landscapes with relatively gradual transition between LULC...

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Auteurs principaux:	Gordon O. Ojwang, Joseph O. Ogutu, Mohammed Y. Said, Merceline A. Ojwala, Shem C. Kifugo, Francesca Verones, Bente J. Graae, Robert Buitenwerf, Han Olff
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-03-01
Collection:	Frontiers in Remote Sensing
Sujets:	land use and land cover (LULC) hierarchical classification landscape stratification random forest accuracy assessment out-of-bag error
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/frsen.2023.1188635/full
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