Land use/land cover (LULC) changes modeling and susceptibility mapping using the binary logistic regression at the territorial level in eastern DR Congo

The Land Use and Land Cover (LULC) changes are commonly used to determine the landscape conditions and have significant impacts on the earth's surface processes. During the last three decades, there has been an acceleration of LULC changes in Eastern DR Congo. However, there is no comprehensive over...

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Bibliografische Detailangaben

Hauptverfasser:	Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	University of Brawijaya 2024-07-01
Schriftenreihe:	Journal of Degraded and Mining Lands Management
Schlagworte:	gis land use change logistic regression model proximate drivers remote sensing underlying drivers
Online-Zugang:	https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/16604
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