Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery
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 prov...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/9/4/225 |
| _version_ | 1797571255355834368 |
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| author | Luís Pádua Nathalie Guimarães Telmo Adão António Sousa Emanuel Peres Joaquim J. Sousa |
| author_facet | Luís Pádua Nathalie Guimarães Telmo Adão António Sousa Emanuel Peres Joaquim J. Sousa |
| author_sort | Luís Pádua |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:36:43Z |
| format | Article |
| id | doaj.art-58c0c20b98d344eba3524a44556ed42b |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T20:36:43Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-58c0c20b98d344eba3524a44556ed42b2023-11-19T20:56:08ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-04-019422510.3390/ijgi9040225Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV ImageryLuís Pádua0Nathalie Guimarães1Telmo Adão2António Sousa3Emanuel Peres4Joaquim J. Sousa5Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalEngineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalEngineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalEngineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalEngineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalEngineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalUnmanned 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.https://www.mdpi.com/2220-9964/9/4/225post-fire managementforest regenerationfire severity mappingmultispectral imagerySentinel-2Aunmanned aerial vehicles |
| spellingShingle | Luís Pádua Nathalie Guimarães Telmo Adão António Sousa Emanuel Peres Joaquim J. Sousa Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery ISPRS International Journal of Geo-Information post-fire management forest regeneration fire severity mapping multispectral imagery Sentinel-2A unmanned aerial vehicles |
| title | Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery |
| title_full | Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery |
| title_fullStr | Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery |
| title_full_unstemmed | Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery |
| title_short | Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery |
| title_sort | effectiveness of sentinel 2 in multi temporal post fire monitoring when compared with uav imagery |
| topic | post-fire management forest regeneration fire severity mapping multispectral imagery Sentinel-2A unmanned aerial vehicles |
| url | https://www.mdpi.com/2220-9964/9/4/225 |
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