Estimation and Mapping of Land Surface Temperature From AATSR Images And GIS: A Case Study In Kolondieba-Tiendaga Basin In Sudano-Sahelian Climate, Mali

摘要: The knowledge of the various terms which intervene in energy balance surface is essential at same time for hydrologists, amenagists, agronomists, meteorologists, and climatologists. land temperature making ground left key parameters this assessment, plays a fundamental part processes interaction hydrosphere-biosphere, atmosphere. It represents, canopy vegetation covered zones vegetation, plus that ground, scattered vegetation. While it represents bar soil. This can be collected through two approaches: conventional approaches, them approaches remote sensingThe methods make possible to collect starting from measurements weather stations. On other hand, sensing possible, as them, estimate use model surface. In study, SEBS was used on satellite data AATSR mapping temperature, catchment area Kolondieba-Tiendaga, southern Mali zone. These results show values between 303 296 (°K) standard deviations 2, 66 0, 945. are similar those already found elsewhere, West Africa with types given images AASTR.