Abstract: Remote sensing data providesan important source for monitoring and mapping vegetation cover. Vegetation Indices (VI) are derived from multispectral satellite datafor use in monitoring vegetation distribution. This paper assesses the potential of SAVI (Soil-Adjusted Vegetation Index) and NDVI (Normalized Difference Vegetation Index), and uses these to demonstrate the production of plant coverpercentage maps in the Jeffara Plain, Libya,using spatial resolution remote sensing imagery in this semi-arid and arid region. A study region in the Jeffara Plain of 13,800ha was selected to permit processing of training and evaluation data due to the variety in irrigated agricultural area and natural vegetation cover densities. The area also provides a variety ofclimatic and soil conditions...........
Keywords: NDVI, SAVI, vegetation indices, plant cover,Landsat, Jeffara Plain,Google Earth
[1]. Ageena, I. (2013) Trends and patterns in the climate of Libya (1945-2010) Doctoral dissertation, University of Liverpool.
[2]. Ait Belaid, M., 2010.Applications of Space Techniques for Sustainable Development in West Asia.International Journal of Geoinformatics, Vol. 6, No. 1, pp. 65-71, Pathumthani, Thailand.
[3]. Almutairi, B., El battay, A, Belaid, M., Musa, N. (2013) Comparative Study of SAVI and NDVI Vegetation Indices in Sulaibiya Area (Kuwait) Using Worldview Satellite Imagery. International Journal of Geosciences and Geomatics,1(2):50-53.
[4]. Camacho-De Coca, F., Garcia-Haro, J. F., Gilabert, A. M. and Melia, J., 2004. Vegetation cover seasonal change assessment from TM imagery in a semi-arid landscape. International Journal of Remote Sensing, 25, 3451-3476.
[5]. Chappelle, E. M., Kim, M. S. and McMurtrey, J. E., 1992. Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leaves, Remote Sensing of Environment, 39,239-247..