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Sensors and Materials, Volume 33, Number 12(5) (2021)
Copyright(C) MYU K.K.
pp. 4561-4577
S&M2781 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3441
Published in advance: July 15, 2021
Published: December 28, 2021

Long-term Land Cover Change Detection Using Multisensor and Multiresolution Remote Sensing Images: A Case Study of Chang’an University, China [PDF]

Xianglei Liu, Nilufar Adil, and Xiaolong Ma

(Received May 25, 2021; Accepted July 1, 2021)

Keywords: LULC change detection, multisensor and multiresolution images, post-classification comparison, object-based change detection

Change detection is one of the most important aspects of remote sensing applications. However, owing to the limited conditions of image acquisition, images obtained from the same type of remote sensors are usually used to monitor long-term land use and land cover (LULC) changes. Owing to developments in aerospace technology and new optical remote sensors, LULC change detection can be performed well with multisensor and multiresolution images. The main contribution of this article is to verify that it is feasible and practicable to perform long-term LULC change detection by applying different change detection methods to multisensor and multiresolution remote sensing images. In this study, different change detection methods were used on Landsat, QuickBird, WorldView-4, and GF-2 images to detect LULC changes on Weishui Campus of Chang’an University, China, from 1998 to 2018. Results showed that the direct spectral comparison method using Landsat-5 images could more efficiently detect LULC changes between 1998 and 2008 than the post-classification change detection method using Landsat-7 images. However, for 2008–2018, the object-based change detection method was more applicable than the post-classification method for monitoring LULC changes on campus by using time-series high-resolution images. This study can be used as a reference for the utilization of multisensor and multiresolution remote sensing images and the combination of different change detection methods in the LULC change detection field.

Corresponding author: Xianglei Liu, Xiaolong Ma


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xianglei Liu, Nilufar Adil, and Xiaolong Ma, Long-term Land Cover Change Detection Using Multisensor and Multiresolution Remote Sensing Images: A Case Study of Chang’an University, China, Sens. Mater., Vol. 33, No. 12, 2021, p. 4561-4577.



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