Lu, Y.T., Wu, P.H., Ma, X.H. and Li, X.H. (2019) Detection and Prediction of Land Use/Land Cover Change Using Spatiotemporal Data Fusion and the Cellular Automata-Markov Model. Environmental Monitoring and Assessment, 191, Article No. 68.
https://doi.org/10.1007/s10661-019-7200-2

has been cited by the following article:

• TITLE: Simulation of the Dynamics of Land Cover and Land Use in the Lobo River Watershed Upstream of Nibéhibé (Center-West of Côte d’Ivoire)

  AUTHORS: Kouakou Hervé Kouassi, Arthur Brice Konan-Waidhet, Affoué Berth Yao, Berenger Koffi, Ettibou Damase Kadjo

  KEYWORDS: Satellite Image, Land Cover and Land Use, Space-Time Modeling, Lobo

  JOURNAL NAME: Journal of Geographic Information System, Vol.12 No.5, October 27, 2020

  ABSTRACT: From medium-resolution satellite images (Landsat TM, ETM+ and OLI), the spatial dynamics of land cover and land use are highlighted. The objective of this study is to quantify the evolution of land use in the watershed of the Lobo River upstream of Nibéhibé between 1986 and 2019 in order to analyze the impacts of human activities on the landscape. The study method was based, on the one hand, on the processing of satellite images, for the analysis of the dynamics of land use and, on the other hand, on the CA-Markov model, for the prediction of land use by 2050. It emerged from this study that the land use maps produced made it possible to highlight the spatio-temporal dynamics of land use on the basin. For the period from 1986 to 2019, there is a decrease in the area of forests in favor of built-bare ground and crops and fallows. A land use scenario for the years 2019 and 2050 was simulated with an accuracy of 87.11%. The regressive trend in forests seems to continue in the future with current land use practices.