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University of Khartoum (2007)

Detection of Vegetation Cover Change Using Remote Sensing and Gis System (1987 - 1999) A case study Okalma Reserve Forest

Ahmed, Alyas

Titre : Detection of Vegetation Cover Change Using Remote Sensing and Gis System (1987 - 1999) A case study Okalma Reserve Forest

Auteur : Ahmed, Alyas

Université de soutenance : University of Khartoum

Grade : Master of Science (MS) 2007

Résumé
The study was based on application of remote sensing techniques and GIS to detect forest cover changes in Sennar State. Assessment of forest changes was carried out in Okalma area for the period 1987 to 1999, covering an area of (54872.77) hectares. The study used remote sensing images taken in 1987, 1996 and 1999 by Land Sat of type TM (Thematic Mapper). The images were analyzed using the software of (ERDAS IMAGINE 8.5) by analyzing light layers to identify and locate vegetation position based on supervised analysis that is after image improvement. The images were classified into classes representing ecological factors. This is done with the objective of determining and locating the extent of changes on the land contained in the study area and for the period 1987 to 1999. Then images were combined to facilitate identification of changes at any time and location. Four land use classes were identified : forests, scattered trees and shrubs, agricultural land and bare land. The results indicate that the forest area in 1987 was 17.3 % of the total area under study, increased to 26.7 % in 1996 and then sharply decreased to 7.8 % in 1999. The area of scattered trees and shrubs was 38.0 % in 1987, decreased to 33.0 % in 1996 and increased to 35.5 % in 1999. Agricultural land area was 35.4 % in 1987, decreased to 30.4 % in 1996 and increased to 45.1 % in 1999. Bare land was continuously increasing during the period 1987 to 1996 to 1999. The study XIII found that there was continuous change in land use and that the change was basically human induced. The results of the questionnaire with the local people in the area indicated that forests constitute the main class that witnessed major negative changes. Most of the forest land was converted to agricultural land or changed to bare land. The study indicates that application of remote sensing technology is an efficient method to be applied for detection of forest cover changes

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