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Article

Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery

1
Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
2
Centre for Robotics in Industry and Intelligent Systems (CRIIS), INESC Technology and Science (INESC-TEC), 4200-465 Porto, Portugal
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(4), 225; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040225
Received: 30 January 2020 / Revised: 9 March 2020 / Accepted: 3 April 2020 / Published: 7 April 2020
(This article belongs to the Special Issue GI for Disaster Management)
Unmanned aerial vehicles (UAVs) have become popular in recent years and are now used in a wide variety of applications. This is the logical result of certain technological developments that occurred over the last two decades, allowing UAVs to be equipped with different types of sensors that can provide high-resolution data at relatively low prices. However, despite the success and extraordinary results achieved by the use of UAVs, traditional remote sensing platforms such as satellites continue to develop as well. Nowadays, satellites use sophisticated sensors providing data with increasingly improving spatial, temporal and radiometric resolutions. This is the case for the Sentinel-2 observation mission from the Copernicus Programme, which systematically acquires optical imagery at high spatial resolutions, with a revisiting period of five days. It therefore makes sense to think that, in some applications, satellite data may be used instead of UAV data, with all the associated benefits (extended coverage without the need to visit the area). In this study, Sentinel-2 time series data performances were evaluated in comparison with high-resolution UAV-based data, in an area affected by a fire, in 2017. Given the 10-m resolution of Sentinel-2 images, different spatial resolutions of the UAV-based data (0.25, 5 and 10 m) were used and compared to determine their similarities. The achieved results demonstrate the effectiveness of satellite data for post-fire monitoring, even at a local scale, as more cost-effective than UAV data. The Sentinel-2 results present a similar behavior to the UAV-based data for assessing burned areas. View Full-Text
Keywords: post-fire management; forest regeneration; fire severity mapping; multispectral imagery; Sentinel-2A; unmanned aerial vehicles; Parrot SEQUOIA post-fire management; forest regeneration; fire severity mapping; multispectral imagery; Sentinel-2A; unmanned aerial vehicles; Parrot SEQUOIA
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MDPI and ACS Style

Pádua, L.; Guimarães, N.; Adão, T.; Sousa, A.; Peres, E.; Sousa, J.J. Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery. ISPRS Int. J. Geo-Inf. 2020, 9, 225. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040225

AMA Style

Pádua L, Guimarães N, Adão T, Sousa A, Peres E, Sousa JJ. Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery. ISPRS International Journal of Geo-Information. 2020; 9(4):225. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040225

Chicago/Turabian Style

Pádua, Luís, Nathalie Guimarães, Telmo Adão, António Sousa, Emanuel Peres, and Joaquim J. Sousa 2020. "Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery" ISPRS International Journal of Geo-Information 9, no. 4: 225. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040225

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