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: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2017
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/79178 |
Similar Items: Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images
- Comparison of forest fire severity classification models based on aerial images and Landsat 8 OLI/TIRS images of a forest fire area in central Sweden
- Resilience of Sudanian: savanna-woodlands in Burkina Faso
- Dominant species' resprout biomass dynamics after cutting in the Sudanian savanna-woodlands of West Africa: long term effects of annual early fire and grazing
- Long-term effects of prescribed early fire, grazing and selective tree cutting on seedling population in the Sudanian savanna of Burkina Faso
- Long-term effects of prescribed early fire, grazing and selective tree cutting on seedling populations in the Sudanian savanna of Burkina Faso
- Assessment of the spatial variability in tall wheatgrass forage using LANDSAT 8 satellite imagery to delineate potential management zones
