Comparative Analysis of Sentinel-2 MSI and Landsat-8 OLI for Enhanced Land Monitoring

\nThe usage of satellite imagery has been extremely beneficial to many industries, such as environmental monitoring, medical mapping, urban planning, and agriculture. Among the several satellite pictures that are emerging as significant sources of multispectral data that provide crucial insights into the dynamics of the Earth’s surface are Sentinel-2 MSI and Landsat-8 OLI. Understanding the differences between these two satellite systems is essential to maximizing their use in various applications. This study examines the advantages and disadvantages of Sentinel-2 and Landsat- 8 OLI satellite data. The results enabled the use of the pertinent satellite images to create various themed memories, such as the connection between human health and the environment while creating medical-related geographic maps.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-13
DOI
https://doi.org/10.1051/e3sconf/202459004009/pdf
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
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article

Comparative Analysis of Sentinel-2 MSI and Landsat-8 OLI for Enhanced Land Monitoring

Springer Link (Chiba Institute of Technology)
Remote-Sensing Image Classification
article

Comparative Analysis of Sentinel-2 MSI and Landsat-8 OLI for Enhanced Land Monitoring

article en

Abstract

\nThe usage of satellite imagery has been extremely beneficial to many industries, such as environmental monitoring, medical mapping, urban planning, and agriculture. Among the several satellite pictures that are emerging as significant sources of multispectral data that provide crucial insights into the dynamics of the Earth’s surface are Sentinel-2 MSI and Landsat-8 OLI. Understanding the differences between these two satellite systems is essential to maximizing their use in various applications. This study examines the advantages and disadvantages of Sentinel-2 and Landsat- 8 OLI satellite data. The results enabled the use of the pertinent satellite images to create various themed memories, such as the connection between human health and the environment while creating medical-related geographic maps.\n

Springer Link (Chiba Institute of Technology)
Sustainable cities and communities
Openalex Percentile: Top 52%
Remote-Sensing Image Classification
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