Comprehensive review on land use/land cover change classification in remote sensing | Zendy

M. Sam Navin | Zendy; L. Agilandeeswari | Zendy

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Comprehensive review on land use/land cover change classification in remote sensing

Author(s) -

M. Sam Navin,

L. Agilandeeswari

Publication year - 2020

Publication title -

journal of spectral imaging

Language(s) - English

Resource type - Journals

ISSN - 2040-4565

DOI - 10.1255/jsi.2020.a8

Subject(s) - remote sensing , hyperspectral imaging , change detection , land cover , geospatial analysis , multispectral image , satellite , field (mathematics) , multispectral pattern recognition , remote sensing application , computer science , satellite imagery , cluster analysis , geography , land use , environmental science , artificial intelligence , engineering , mathematics , civil engineering , aerospace engineering , pure mathematics

Research in the field of remote sensing of the environment is valuable and informative. Hyperspectral (HSP) and multispectral (MSP) satellite images have been used for different remote sensing applications. Land Use/Land Cover (LU/LC) change classification has been considered as important research in the field of remote sensing environment. This review aims to identify the various LU/LC applications, remote sensing satellites, geospatial software, pre-processing techniques, LU/LC classification, clustering, spectral unmixing, landscape change models and evaluation metrics. The main objective of this review is to present the more frequently used techniques for analysing LU/LC change with MSP and HSP satellite images. An aim of this review is to motivate future researchers to work efficiently with MSP and HSP satellite images in the field of remote sensing.

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