[01] Eman Osman Saad, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Shambat, Sudan. [02] Manal Awad Kheiry, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Shambat, Sudan. [03] Yousif Elnour Yagoub, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Shambat, Sudan.

The current paper aims to quantify and describe the spatial and temporal patterns of Land Use Land Cover Change LULCC in Sinnar State - Sudan using Remote sensing RS and GIS technology between 2000 and 2016. Multi-temproal landsat data as well as pixel-based classification were used for analysis. The result was clearly indicated that the largest relative land cover change was the increase of Rain-fed Agriculture RfA and decreasing of forest cover. The result showed that RfA from 2000 to 2016 was increased by approximately from 256719 feddan in 2000 to 297726 feddan in 2016. Meanwhile, the Forest cover was decreased from 28253 feddan in 2000 to 12117 feddan in 2016. It well noticed that the largest relative change for the period 2000 and 2016 in the study area covered by RfA practices. This paper showed successful applications of multi-temporal landsat data and pixel based classification techniques in assessing and mapping the LULC in the study area. In addition, land cover information may also help decision-makers to understand and respond appropriately to emerging environmental risks for the inhabited people.

Landsat Images, Pixel-based Classification, LULCC, Sinnar State-Sudan

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