Ndvi and remote sensing spectral index for monitoring land surface greenings. assessment case - umm ruwabah, north kordofan-Sudan

Vegetation cover condition is a dynamic natural event associated with the characteristics of seasonal rainfall. Based on its occurrence, the greenings can indicate the level of wetness and dryness as the soil moisture is highly related to its intensity. The impact of climate variability in North Sudan is likely to be greatest since the 1984 severe drought that left its continuous stresses. Most parts of North Sudan are experiencing dramatic changes in land cover at different scales spatially and temporally. Historical field survey methods for assessing and monitoring land cover conditions are no longer used since the emergence of spatial and digital techniques such as remote sensing and GIS. Remote sensing (RS) has a massive utility for applications, including assessing and monitoring land surface cover conditions. This paper aims to apply one of the potentially widely used spectral indices (NDVI) calculated by using NIR and Red bands. Landsat-8 data will be accessible from USGS Explorer free image download, which will constitute the primary inputs. The area of interest is a part of North Kordofan State in the Western Sudan zone (175/50-175/51-176/50-176/51) to a spatial extent. The expected results will be a set of NDVI maps that shows the NDVI values variability between (-1 and +1) concerning land surface greening conditions and reclassified maps (five classes) depending on values lower and upper limits.