Analysis of Bushfires Spatial and Temporal Variability in Guinea
- 1 Institut Supérieur des Sciences de l’Education de Guinée (ISSEG), Conakry, Guinea
- 2 Laboratoire de Physique de l’Atmosphère et de l’Ocean-Siméon Fongang-UCAD/ESP/LAPOSF, Dakar, Senegal
- 3 Laboratoire de Physique de l’Atmosphère et de l’Ocean-Siméon Fongang-UCAD/ESP/LAPOSF, Dakar, Senegal
- 4 Laboratoire de Physique de l’Atmosphère et de l’Ocean-Siméon Fongang-UCAD/ESP/LAPOSF, Dakar, Senegal
- 5 Laboratoire de Physique de l’Atmosphère et de l’Ocean-Siméon Fongang-UCAD/ESP/LAPOSF, Dakar, Senegal
- 6 Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Ouagadougou, Burkina Faso
- 7 Institut Supérieur des Sciences de l’Education de Guinée (ISSEG), Conakry, Guinea
- 8 Institut Supérieur des Sciences de l’Education de Guinée (ISSEG), Conakry, Guinea
- 9 Laboratoire d’Enseignement et de Recherche en Energétique Appliquée-UGANC/LEREA, Conakry, Guinea
Abstract
Guinea is confronted to the increasing risks of bushfires that destroy thousands of hectares of vegetation cover every year. Very little research is devoted to the variability of those fires, which makes it a serious threat to both wildlife and human habitats. The current study investigates the spatial and temporal distribution of bushfires in the period from 2003 to 2016. The method used is the geospatial technology: we first filter pixels corresponding with active light supplied by MODIS images (Moderate Resolution Imaging Spectroradiometer) and estimate their densities following the square meshing procedure. Burned areas are deducted from the estimated pixel densities by calculations. The results highlight great occurrence of fires: 4 to 48 pixels of active fire per year and per 100 km2 depending on the location; 2 to 5 million hectares per year of burned areas (20,000 to 50,000 sqkm). Almost 8 to 24% the size of the whole country. The prefectures of Beyla, Siguiri, Kouroussa, Kankan, Dinguiraye, Mali and Tougué are the most exposed areas. Every year, fire activities are observed as from October and between May and June. They are however mitigated according to the regions (or the geographical domains). Summits of bushfires activities are generally reached between December and January.
- Alleaume, S., Hely, C., Le Roux, J., Korontzi, S., Swap, R.J., Shugart, H.H., and Justice, C.O. (2005) Using MODIS to Evaluate Heterogeneity of Biomass Burning in Southern African Savannahs: A Case Study in Etosha. International Journal of Remote Sensing, 26, 4219-4237. https://doi.org/10.1080/01431160500113492
- Trollope, W.S.W., Trollope, L.A., Potgieter, A.L.F., and Zambatis, N. (1996) SAFARI-92 Characterization of Biomass and Fire Behavior in the Small Experimental Burns in the Kruger National Park. Journal of Geophysical Research: Atmospheres, 101, 23531-23539. https://doi.org/10.1029/96JD00691
- Savadogo, P., Sawadogo, L. and Tiveau, D. ( 2007) Effects of Grazing Intensity and Prescribed Fire on Soil Physical and Hydrological Properties and Pasture Yield in the Savanna Woodlands of Burkina Faso. Agriculture, Ecosystems and Environment, 118, 80-92. https://doi.org/10.1016/j.agee.2006.05.002
- Sow, M. (2013) Caractérisation du risque de feu de broussedans les savanes du Sénégal par approcheexpérimentaleet par télédétection. [Specification of the Risks of Bushfires in the Senegalese Savannas of by the Experimental and Telemetric Detection Approaches.]
- Valéa, F. (2010) Etudes des feux de brousse au Burkina-Faso: Approches multi-échelles des feuxactifset des surfaces brulées (Doctoral Dissertation, Caen). [A Study of Bushfires in Burkina Faso: Multiple Stage Approaches of Active Fires and Burnt Areas.]
- Thonat, T. (2013) Etude des feux de biomassetropicaux: Observation simultanée des gazémis par les feux à l’aide des observations hyperspectralesinfrarouges de AIRS et IASI. [A Study of Tropical Biomass Fires: Simultaneous Observation of Emitted Gazwith Hyperspectral X Rays of AIRS and IASI.] (Laboratoire de MétéorologieDynamique (LMD), CNRS, IPSL (EcolePolytechnique, Palaiseau/Paris).
- Bruzon, V. (1994) Les pratiques du feu enAfriquesubhumide, exemple des milieuxsavanicoles de la Centrafrique et de la Côte d’Ivoire. [Fire Practices in Sub Humid Africa, Case Study of Savannas of the Central African Republic and Ivory Cost.] In Blanc PamardCh., BoutraisJ., A la croisée des chemins, Paris, ORSTOM, 147-163.
- Valea, F., andBallouche, A. (2012) Les feux de brousseenAfrique de l’Ouest: Contraintesenvironnementalesououtil de gestionenvironnementale? [Bushfires in West Africa: Environmental Constraints of Environmental Management Tools?] L’exemple du Burkina Faso. Territoiresd’Afrique, 3, 36-47.
- Giglio, L., Descloitres, J., Justice, C.O. and Kaufman, Y. J. (2003) An Enhanced Contextual Fire Detection Algorithm for MODIS. Remote Sensing of Environment, 87, 273-282. https://doi.org/10.1016/S0034-4257(03)00184-6