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Review

A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth

1
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 14174-66191, Iran
2
C-CORE, 1 Morrissey Road, St. John’s, NL A1B 3X5, Canada
3
Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Sofia Bajocco
Remote Sens. 2021, 13(15), 2869; https://doi.org/10.3390/rs13152869
Received: 28 May 2021 / Revised: 9 July 2021 / Accepted: 15 July 2021 / Published: 22 July 2021
(This article belongs to the Special Issue Wetland Monitoring Using Remote Sensing)
With uninterrupted space-based data collection since 1972, Landsat plays a key role in systematic monitoring of the Earth’s surface, enabled by an extensive and free, radiometrically consistent, global archive of imagery. Governments and international organizations rely on Landsat time series for monitoring and deriving a systematic understanding of the dynamics of the Earth’s surface at a spatial scale relevant to management, scientific inquiry, and policy development. In this study, we identify trends in Landsat-informed change detection studies by surveying 50 years of published applications, processing, and change detection methods. Specifically, a representative database was created resulting in 490 relevant journal articles derived from the Web of Science and Scopus. From these articles, we provide a review of recent developments, opportunities, and trends in Landsat change detection studies. The impact of the Landsat free and open data policy in 2008 is evident in the literature as a turning point in the number and nature of change detection studies. Based upon the search terms used and articles included, average number of Landsat images used in studies increased from 10 images before 2008 to 100,000 images in 2020. The 2008 opening of the Landsat archive resulted in a marked increase in the number of images used per study, typically providing the basis for the other trends in evidence. These key trends include an increase in automated processing, use of analysis-ready data (especially those with atmospheric correction), and use of cloud computing platforms, all over increasing large areas. The nature of change methods has evolved from representative bi-temporal pairs to time series of images capturing dynamics and trends, capable of revealing both gradual and abrupt changes. The result also revealed a greater use of nonparametric classifiers for Landsat change detection analysis. Landsat-9, to be launched in September 2021, in combination with the continued operation of Landsat-8 and integration with Sentinel-2, enhances opportunities for improved monitoring of change over increasingly larger areas with greater intra- and interannual frequency. View Full-Text
Keywords: Landsat; change detection; land cover change; land use; meta-analysis; systematic review Landsat; change detection; land cover change; land use; meta-analysis; systematic review
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MDPI and ACS Style

Hemati, M.; Hasanlou, M.; Mahdianpari, M.; Mohammadimanesh, F. A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth. Remote Sens. 2021, 13, 2869. https://doi.org/10.3390/rs13152869

AMA Style

Hemati M, Hasanlou M, Mahdianpari M, Mohammadimanesh F. A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth. Remote Sensing. 2021; 13(15):2869. https://doi.org/10.3390/rs13152869

Chicago/Turabian Style

Hemati, MohammadAli, Mahdi Hasanlou, Masoud Mahdianpari, and Fariba Mohammadimanesh. 2021. "A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth" Remote Sensing 13, no. 15: 2869. https://doi.org/10.3390/rs13152869

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