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Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review

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Abstract

Research in the field of remote sensing attracts attention among researchers all over the world. From different remote sensing applications, the problem on Land Use/ Land Cover change analysis has been considered as the critical research for more than four decades. The researchers had discovered the new innovative ways of finding the solution to analyze the Land Use/ Land Cover change over a particular region. The multispectral and hyperspectral satellite images play a considerable part in analyzing environmental changes. Many algorithms developed and used by researchers for analyzing the Land Use/ Land Cover change are discussed in this paper. This review article aims to provide detailed analyses of performing Land Use/ Land Cover changes in the field of remote sensing. The main motive is to make the future researchers know about the flow of the Land Use/ Land Cover change analysis process and provide a clear presentation about every method. The results of this Land Use/ Land Cover problem mainly assist the land resource management, urban planners, and other government officials across the world in protecting the land resource and its nature for future needs.

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Acknowledgments

Authors thank the United States Geological Survey for providing the multispectral (Landsat 8), and hyperspectral data provider (EO – 1 Hyperion). The authors are also thankful to VIT University for providing VIT SEED GRANT for carrying out this work and to CDMM for providing good lab facilities.

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    M Sam Navin & L. Agilandeeswari

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Navin, M.S., Agilandeeswari, L. Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review. Multimed Tools Appl 79, 29751–29774 (2020). https://doi.org/10.1007/s11042-020-09531-z

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