Shorea robusta Gaertn.f.(Sal)is one of the important timber-yielding plants in India,which dominates the vegetation of Terai landscape of Uttar Pradesh state in India forming various communities based on its associations.The present study deals with delineation,mapping and characterization of various communities of Sal(Shorea robusta)forests in Terai landscape of Uttar Pradesh,India ranging across over 16districts.Field survey and visual interpretation based forest vegetation type classification and mapping was carried out as part of the project entitled‘Biodiversity characterization at landscape level using remote sensing and GIS’.Indian Remote Sensing-P6(Resourcesat-1)Linear Imaging Self Scanner-III satellite data was used during the study.The total area covered by different Sal forests was found to be approximately2256.77 km2.Sal communities were identified and characterized based on their spectral properties,physiognomy and phytosociological characteristics.Following nine Sal communities were identified,delineated and mapped with reasonable accuracy viz.,Chandar,Damar,dry plains,moist plains,western alluvium,western alluvium plains,mixed moist deciduous,mixed dry deciduous and Siwalik.It is evident from the area estimates that mixed moist deciduous Sal is the most dominant community in the region covering around(1613.90 km2),other major communities were found as western alluvium plains Sal(362.44 km2),mixed dry deciduous Sal(362.44 km2)and dry plains Sal(107.71 km2).The Terai landscape of Uttar Pradesh faces tremendous anthropogenic pressure leading to deterioration of the forests.Community level information could be used monitoring the status as well as for micro level conservation and planning of the Sal forests in Terai Landscape of Uttar Pradesh. Shorea robusta Gaertn.f. (Sal) is one of the important timber-yielding plants in India, which dominates the vegetation of Terai landscape of Uttar Pradesh state in India forming various communities based on its associations. The present study deals with delineation, mapping and characterization of various communities of Sal (Shorea robusta) forests in Terai landscape of Uttar Pradesh, India ranging across over 16districts. Field survey and visual interpretation based forest vegetation type classification and mapping was carried out as part of the project entitled "Biodiversity characterization at landscape level using remote sensing and GIS’.Indian Remote Sensing-P6 (Resourcesat-1) Linear Imaging Self Scanner-III satellite data was used during the study. The total area covered by different Salins was found to be approximately 225.67 km2. Sal communities were identified and characterized based on their spectral properties, physiognomy and phytosociological characteristics. Popular nine Sal c ommunities were identified, delineated and mapped with reasonable accuracy viz., Chandar, Damar, dry plains, moist plains, western alluvium, western alluvium plains, mixed moist deciduous, mixed dry deciduous and Siwalik. It is evident from the area estimates that mixed moist The deciduous Sal is the most dominant community in the region covering around (1613.90 km2), other major communities were found as western alluvium plains Sal (362.44 km2), mixed dry deciduous Sal (362.44 km2) and dry plains Sal (107.71 km2). Terai landscape of Uttar Pradesh faces tremendous anthropogenic pressure leading to deterioration of the forests. Community level information could be used monitoring the status as well as for micro level conservation and planning of the Sal forests in Terai Landscape of Uttar Pradesh.