Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover
Lidar measurements of 11 smoke layers recorded at Măgurele, Romania, in 2014, 2016, and 2017 are analyzed in conjunction with the vegetation type of the burned biomass area. For the identified aerosol pollution layers, the mean optical properties and the intensive parameters in the layers are comput...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/19/4734 |
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| author | Mariana Adam Konstantinos Fragkos Stavros Solomos Livio Belegante Simona Andrei Camelia Talianu Luminița Mărmureanu Bogdan Antonescu Dragos Ene Victor Nicolae Vassilis Amiridis |
| author_facet | Mariana Adam Konstantinos Fragkos Stavros Solomos Livio Belegante Simona Andrei Camelia Talianu Luminița Mărmureanu Bogdan Antonescu Dragos Ene Victor Nicolae Vassilis Amiridis |
| author_sort | Mariana Adam |
| collection | DOAJ |
| description | Lidar measurements of 11 smoke layers recorded at Măgurele, Romania, in 2014, 2016, and 2017 are analyzed in conjunction with the vegetation type of the burned biomass area. For the identified aerosol pollution layers, the mean optical properties and the intensive parameters in the layers are computed. The origination of the smoke is estimated by the means of the HYSPLIT dispersion model, taking into account the location of the fires and the injection height for each fire. Consequently, for each fire location, the associated land cover type is acquired by satellite-derived land cover products. We explore the relationship between the measured intensive parameters of the smoke layers and the respective land cover of the burned area. The vegetation type for the cases we analyzed was either broadleaf crops or grasses/cereals. Overall, the intensive parameters are similar for the two types, which can be associated with the fact that both types belong to the broader group of agricultural crops. For the cases analyzed, the smoke travel time corresponding to the effective predominant vegetation type is up to 2.4 days. |
| first_indexed | 2024-03-09T21:15:28Z |
| format | Article |
| id | doaj.art-f3e8e0c1d6794af88ed85d236f13e06e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T21:15:28Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f3e8e0c1d6794af88ed85d236f13e06e2023-11-23T21:37:43ZengMDPI AGRemote Sensing2072-42922022-09-011419473410.3390/rs14194734Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land CoverMariana Adam0Konstantinos Fragkos1Stavros Solomos2Livio Belegante3Simona Andrei4Camelia Talianu5Luminița Mărmureanu6Bogdan Antonescu7Dragos Ene8Victor Nicolae9Vassilis Amiridis10National Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaResearch Centre for Atmospheric Physics and Climatology, Academy of Athens, 10679 Athens, GreeceNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaERATOSTHENES Centre of Excellence, 3036 Limassol, CyprusNational Institute of Research and Development for Optoelectronics INOE 2000, 077125 Magurele, RomaniaNational Observatory of Athens, 15236 Penteli, GreeceLidar measurements of 11 smoke layers recorded at Măgurele, Romania, in 2014, 2016, and 2017 are analyzed in conjunction with the vegetation type of the burned biomass area. For the identified aerosol pollution layers, the mean optical properties and the intensive parameters in the layers are computed. The origination of the smoke is estimated by the means of the HYSPLIT dispersion model, taking into account the location of the fires and the injection height for each fire. Consequently, for each fire location, the associated land cover type is acquired by satellite-derived land cover products. We explore the relationship between the measured intensive parameters of the smoke layers and the respective land cover of the burned area. The vegetation type for the cases we analyzed was either broadleaf crops or grasses/cereals. Overall, the intensive parameters are similar for the two types, which can be associated with the fact that both types belong to the broader group of agricultural crops. For the cases analyzed, the smoke travel time corresponding to the effective predominant vegetation type is up to 2.4 days.https://www.mdpi.com/2072-4292/14/19/4734lidarbiomass burningland coverHYSPLITMODISERA5 |
| spellingShingle | Mariana Adam Konstantinos Fragkos Stavros Solomos Livio Belegante Simona Andrei Camelia Talianu Luminița Mărmureanu Bogdan Antonescu Dragos Ene Victor Nicolae Vassilis Amiridis Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover Remote Sensing lidar biomass burning land cover HYSPLIT MODIS ERA5 |
| title | Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover |
| title_full | Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover |
| title_fullStr | Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover |
| title_full_unstemmed | Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover |
| title_short | Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover |
| title_sort | methodology for lidar monitoring of biomass burning smoke in connection with the land cover |
| topic | lidar biomass burning land cover HYSPLIT MODIS ERA5 |
| url | https://www.mdpi.com/2072-4292/14/19/4734 |
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