Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)
We present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001–2019) and the FireCCILT11 (1982–2018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiome...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Fire |
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| Online Access: | https://www.mdpi.com/2571-6255/4/4/74 |
| _version_ | 1827672502910844928 |
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| author | Gonzalo Otón José Miguel C. Pereira João M. N. Silva Emilio Chuvieco |
| author_facet | Gonzalo Otón José Miguel C. Pereira João M. N. Silva Emilio Chuvieco |
| author_sort | Gonzalo Otón |
| collection | DOAJ |
| description | We present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001–2019) and the FireCCILT11 (1982–2018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m reflectance data, guided by 1 km active fires. The FireCCILT11 dataset was generated from Land Long-Term Data Record data (0.05°), which provides a consistent time series for Advanced Very High Resolution Radiometer images, acquired from the NOAA satellite series. FireCCILT11 is the longest time series of a BA product currently available, making it possible to carry out temporal analysis of long-term trends. Both products were developed under the FireCCI project of the European Space Agency. The two datasets were pre-processed to correct for temporal autocorrelation. Unburnable areas were removed and the lack of the FireCCILT11 data in 1994 was examined to evaluate the impact of this gap on the BA trends. An analysis and comparison between the two BA products was performed using a contextual approach. Results of the contextual Mann-Kendall analysis identified significant trends in both datasets, with very different regional values. The long-term series presented larger clusters than the short-term ones. Africa displayed significant decreasing trends in the short-term, and increasing trends in the long-term data series, except in the east. In the long-term series, Eastern Africa, boreal regions, Central Asia and South Australia showed large BA decrease clusters, and Western and Central Africa, South America, USA and North Australia presented BA increase clusters. |
| first_indexed | 2024-03-10T04:09:14Z |
| format | Article |
| id | doaj.art-7596f1298ddb42b0b2cfa6b03ccc8ed7 |
| institution | Directory Open Access Journal |
| issn | 2571-6255 |
| language | English |
| last_indexed | 2024-03-10T04:09:14Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj.art-7596f1298ddb42b0b2cfa6b03ccc8ed72023-11-23T08:14:22ZengMDPI AGFire2571-62552021-10-01447410.3390/fire4040074Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)Gonzalo Otón0José Miguel C. Pereira1João M. N. Silva2Emilio Chuvieco3Grupo de Investigación en Teledetección Ambiental, Departamento de Geología, Geografía y Medio Ambiente, Universidad de Alcalá, Colegios 2, 28801 Alcalá de Henares, SpainForest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, PortugalForest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, PortugalGrupo de Investigación en Teledetección Ambiental, Departamento de Geología, Geografía y Medio Ambiente, Universidad de Alcalá, Colegios 2, 28801 Alcalá de Henares, SpainWe present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001–2019) and the FireCCILT11 (1982–2018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m reflectance data, guided by 1 km active fires. The FireCCILT11 dataset was generated from Land Long-Term Data Record data (0.05°), which provides a consistent time series for Advanced Very High Resolution Radiometer images, acquired from the NOAA satellite series. FireCCILT11 is the longest time series of a BA product currently available, making it possible to carry out temporal analysis of long-term trends. Both products were developed under the FireCCI project of the European Space Agency. The two datasets were pre-processed to correct for temporal autocorrelation. Unburnable areas were removed and the lack of the FireCCILT11 data in 1994 was examined to evaluate the impact of this gap on the BA trends. An analysis and comparison between the two BA products was performed using a contextual approach. Results of the contextual Mann-Kendall analysis identified significant trends in both datasets, with very different regional values. The long-term series presented larger clusters than the short-term ones. Africa displayed significant decreasing trends in the short-term, and increasing trends in the long-term data series, except in the east. In the long-term series, Eastern Africa, boreal regions, Central Asia and South Australia showed large BA decrease clusters, and Western and Central Africa, South America, USA and North Australia presented BA increase clusters.https://www.mdpi.com/2571-6255/4/4/74burned areaAVHRR-LTDRFireCCILT11FireCCI51spatiotemporalcontextual Mann-Kendall |
| spellingShingle | Gonzalo Otón José Miguel C. Pereira João M. N. Silva Emilio Chuvieco Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) Fire burned area AVHRR-LTDR FireCCILT11 FireCCI51 spatiotemporal contextual Mann-Kendall |
| title | Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) |
| title_full | Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) |
| title_fullStr | Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) |
| title_full_unstemmed | Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) |
| title_short | Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) |
| title_sort | analysis of trends in the firecci global long term burned area product 1982 2018 |
| topic | burned area AVHRR-LTDR FireCCILT11 FireCCI51 spatiotemporal contextual Mann-Kendall |
| url | https://www.mdpi.com/2571-6255/4/4/74 |
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