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Simulation of the Dynamics of land cover and land use in the Lobo River Watershed Upstream of Nibéhibé(Center-West of Côte d’Ivoire)

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Journal of Geographic Information System 2020年第5期12卷 519-530页

作者： Kouakou Hervé Kouassi Arthur Brice Konan-Waidhet Affoué Berth Yao Berenger Koffi Ettibou Damase Kadjo Laboratory of Science and Technology of Environment Jean Lorougnon Guédé University Daloa C&#244 te d’Ivoire

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.

关键词： Satellite Image land cover and land use Space-Time Modeling Lobo

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An integrated classification method for thematic mapper imagery of plain and highland terrains

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第6期9卷 858-866页

作者： Shan-long LU Xiao-hua SHEN Le-jun ZOU Chang-jiang LI Yan-jun MAO Gui-fang ZHANG Wen-yuan WU Ying LIU Zhong ZHANG Department of Earth Sciences Zhejiang University Hangzhou 310027 China Zhejiang land and Resources Information Center Hangzhou 310007 China Zhejiang Climate Center Hangzhou 310017 China

The classification of thematic mapper imagery in areas with strong topographic variations has proven problematic in the past using a single classifier, due to the changing sun illumination geometry. This often results in the phenomena of identical object with dissimilar spectrum and different objects with similar spectrum. In this paper, an integrated classification method that combines a decision tree with slope data, tasseled cap transformation indices and maximum likelihood classifier is introduced, to find an optimal classification method for thematic mapper imagery of plain and highland terrains. A landsat 7 ETM+ image acquired over Hangzhou Bay, in eastern China was used to test the method. The results indicate that the performance of the inte- grated classifier is acceptably good in comparison with that of the existing most widely used maximum likelihood classifier. The integrated classifier depends on hypsography (variation in topography) and the characteristics of ground truth objects (plant and soil). It can greatly reduce the influence of the homogeneous spectrum caused by topographic variation. This integrated classifier might potentially be one of the most accurate classifiers and valuable tool for land cover and land use mapping of plain and highland terrains.

关键词： Image classification land cover and land use Thematic mapper imagery Plain and highland terrains Integratedclassification method

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