High resolution global forest burned area changes monitoring using landsat 7/8 images
Forest fires have significant impacts on forest ecosystems. In the past two decades various remote sensing based global burned area (BA) products have been proposed and have provided critical insights into trends and patterns of forest fire occurrence. However, these products are primarily provided...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-04-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2483429 |
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| author | Zhaoming Zhang Baoye Qi Guojin He Mengmeng Wang Shunguo Huang Tengfei Long Guizhou Wang Zekun Xu |
| author_facet | Zhaoming Zhang Baoye Qi Guojin He Mengmeng Wang Shunguo Huang Tengfei Long Guizhou Wang Zekun Xu |
| author_sort | Zhaoming Zhang |
| collection | DOAJ |
| description | Forest fires have significant impacts on forest ecosystems. In the past two decades various remote sensing based global burned area (BA) products have been proposed and have provided critical insights into trends and patterns of forest fire occurrence. However, these products are primarily provided at coarse native spatial resolution. In this study, the novel high spatial resolution (30 m) global forest BA products during 2014–2021 were developed using full time series Landsat 7/8 archived images. The spatiotemporal patterns of forest BA were characterized at both the global and regional scales. We found that the annual global forest BA for the years 2014 through 2021 varied from 214.57 million hm2 to 256.80 million hm2, with an average of 238.51 million hm2 during the study period. Among the six continents, Africa had the largest proportion of forest BA, averagely accounting for approximately 85.35% of the world’s total, and the amount of global forest BA was largely determined by Africa. Change analysis demonstrates that the forest area burned in the globe and Africa remained relatively stable from 2014 to 2021. However, forest BA in South America showed an increasing trend during the same period, mainly due to human-induced deforestation activities, which increased fire occurrence driven by land use changes. Climate anomalies, such as El Niño and La Niña phenomena, and abnormal meteorological conditions also exerted obvious influences on forest BA changes. Influencing factor analysis indicates that El Niño was more likely to promote forest fires than La Niña. |
| format | Article |
| id | doaj-art-962aa5347a214200a1bab026bc4be708 |
| institution | OA Journals |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-962aa5347a214200a1bab026bc4be7082025-08-20T01:52:18ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-04-0111410.1080/10095020.2025.2483429High resolution global forest burned area changes monitoring using landsat 7/8 imagesZhaoming Zhang0Baoye Qi1Guojin He2Mengmeng Wang3Shunguo Huang4Tengfei Long5Guizhou Wang6Zekun Xu7Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaFaculty of Information Engineering, China University of Geosciences (Wuhan), Wuhan, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaChinese Academy of Sciences, Aerospace Information Research Institute, Beijing, ChinaForest fires have significant impacts on forest ecosystems. In the past two decades various remote sensing based global burned area (BA) products have been proposed and have provided critical insights into trends and patterns of forest fire occurrence. However, these products are primarily provided at coarse native spatial resolution. In this study, the novel high spatial resolution (30 m) global forest BA products during 2014–2021 were developed using full time series Landsat 7/8 archived images. The spatiotemporal patterns of forest BA were characterized at both the global and regional scales. We found that the annual global forest BA for the years 2014 through 2021 varied from 214.57 million hm2 to 256.80 million hm2, with an average of 238.51 million hm2 during the study period. Among the six continents, Africa had the largest proportion of forest BA, averagely accounting for approximately 85.35% of the world’s total, and the amount of global forest BA was largely determined by Africa. Change analysis demonstrates that the forest area burned in the globe and Africa remained relatively stable from 2014 to 2021. However, forest BA in South America showed an increasing trend during the same period, mainly due to human-induced deforestation activities, which increased fire occurrence driven by land use changes. Climate anomalies, such as El Niño and La Niña phenomena, and abnormal meteorological conditions also exerted obvious influences on forest BA changes. Influencing factor analysis indicates that El Niño was more likely to promote forest fires than La Niña.https://www.tandfonline.com/doi/10.1080/10095020.2025.2483429Forest burned areaglobalLandsatchange30m resolution |
| spellingShingle | Zhaoming Zhang Baoye Qi Guojin He Mengmeng Wang Shunguo Huang Tengfei Long Guizhou Wang Zekun Xu High resolution global forest burned area changes monitoring using landsat 7/8 images Geo-spatial Information Science Forest burned area global Landsat change 30m resolution |
| title | High resolution global forest burned area changes monitoring using landsat 7/8 images |
| title_full | High resolution global forest burned area changes monitoring using landsat 7/8 images |
| title_fullStr | High resolution global forest burned area changes monitoring using landsat 7/8 images |
| title_full_unstemmed | High resolution global forest burned area changes monitoring using landsat 7/8 images |
| title_short | High resolution global forest burned area changes monitoring using landsat 7/8 images |
| title_sort | high resolution global forest burned area changes monitoring using landsat 7 8 images |
| topic | Forest burned area global Landsat change 30m resolution |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2025.2483429 |
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