Remote Sensing in Studying Vegetation Cover, Sudan

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Published: 2022-04-01

Page: 82-87


Eisa M. Ahmed *

Department of Crop Protection, Faculty of Natural Resources & Environmental Studies, University of Kordofan, P.O Box 160 –Elobeid, 51111, Sudan.

El Gunaid F. Hassan

Department of Forestry and Range Sciences, University of Bakht Er-Ruda, Ad Duwem, Sudan.

*Author to whom correspondence should be addressed.


Abstract

This paper aimed at to view some of the studies about the application of remote sensing in Sudan with a focus on vegetation cover in different areas by many of scholars; the integration of remote sensing in the gum Arabic belt; southern Gadarif region; ahable and wad grabou area, white Nile state; east of the Nile Khartoum State, and in the centre during a half-century.

Recommendations stated from these studies are; the use of assessment indicators including NDVI, SAVI and PCA –manipulated in color composite and/or unsupervised classification can be used as an appropriate mean for rangeland monitoring and assessment was recommended from the study of North Kordofan state.

Keywords: Remote sensing, vegetation, Sudan, land cover, change detection


How to Cite

Ahmed, Eisa M., and El Gunaid F. Hassan. 2022. “Remote Sensing in Studying Vegetation Cover, Sudan”. Asian Journal of Research in Biosciences 2022 (4):82-87. https://journalbioscience.com/index.php/AJORIB/article/view/42.

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