Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images
The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Elsevier
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/79178 |
| _version_ | 1855541634083586048 |
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| author | Musyimi, Z. Said, Mohammed Yahya Zida, D. Rosenstock, Todd S. Udelhoven, T. Savadogo, P. Leeuw, Jan de Aynekulu, Ermias |
| author_browse | Aynekulu, Ermias Leeuw, Jan de Musyimi, Z. Rosenstock, Todd S. Said, Mohammed Yahya Savadogo, P. Udelhoven, T. Zida, D. |
| author_facet | Musyimi, Z. Said, Mohammed Yahya Zida, D. Rosenstock, Todd S. Udelhoven, T. Savadogo, P. Leeuw, Jan de Aynekulu, Ermias |
| author_sort | Musyimi, Z. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index (CBI) was best described by a nonlinear model of the form y = a + b*EXP(CBI *c) (R2 = 0.66). Classification of the image-derived burned area into burn severity classes achieved a classification Kappa accuracy statistic of 0.56. Highly severely burned areas were mapped with the highest accuracy (user's accuracy 77%, producer's accuracy 86%). The severity of the burn varied across phyto-geographical zones, protected status, land cover regimes, and forest management practices. The south Sudanian zone burned with a higher severity (low = 7%, moderate = 16% and high = 13%) than the north Sudanian zone (low = 5%, moderate = 10% and high = 5%). The mean of the highly severely burned areas differed significantly among the forest management practices (P = 0.005). A pair-wise comparison of the severity mean area indicated that the highly burned areas within forests managed for wildlife purposes differed significantly with that of both forests under the joint management (P = 0.006) and those under no management (P = 0.024). Among the management practices, forests jointly managed by the local communities and the government had the highest unburned area and the least highly severely burned areas reflecting the impacts of bottom-up forestry management where the local communities are actively involved in the management. |
| format | Journal Article |
| id | CGSpace79178 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace791782024-05-01T08:19:54Z Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images Musyimi, Z. Said, Mohammed Yahya Zida, D. Rosenstock, Todd S. Udelhoven, T. Savadogo, P. Leeuw, Jan de Aynekulu, Ermias environment forestry The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index (CBI) was best described by a nonlinear model of the form y = a + b*EXP(CBI *c) (R2 = 0.66). Classification of the image-derived burned area into burn severity classes achieved a classification Kappa accuracy statistic of 0.56. Highly severely burned areas were mapped with the highest accuracy (user's accuracy 77%, producer's accuracy 86%). The severity of the burn varied across phyto-geographical zones, protected status, land cover regimes, and forest management practices. The south Sudanian zone burned with a higher severity (low = 7%, moderate = 16% and high = 13%) than the north Sudanian zone (low = 5%, moderate = 10% and high = 5%). The mean of the highly severely burned areas differed significantly among the forest management practices (P = 0.005). A pair-wise comparison of the severity mean area indicated that the highly burned areas within forests managed for wildlife purposes differed significantly with that of both forests under the joint management (P = 0.006) and those under no management (P = 0.024). Among the management practices, forests jointly managed by the local communities and the government had the highest unburned area and the least highly severely burned areas reflecting the impacts of bottom-up forestry management where the local communities are actively involved in the management. 2017-04 2017-01-20T10:38:27Z 2017-01-20T10:38:27Z Journal Article https://hdl.handle.net/10568/79178 en Open Access Elsevier Musyimi, Z., Said, M.Y., Zida, D., Rosenstock, T.S., Udelhoven, T., Savadogo, P., Leeuw, J. de and Aynekulu, E. 2017. Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images. Journal of Arid Environments 139: 95–109. |
| spellingShingle | environment forestry Musyimi, Z. Said, Mohammed Yahya Zida, D. Rosenstock, Todd S. Udelhoven, T. Savadogo, P. Leeuw, Jan de Aynekulu, Ermias Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title | Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title_full | Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title_fullStr | Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title_full_unstemmed | Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title_short | Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images |
| title_sort | evaluating fire severity in sudanian ecosystems of burkina faso using landsat 8 satellite images |
| topic | environment forestry |
| url | https://hdl.handle.net/10568/79178 |
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