Model building of vegetation cover changes in Abbasid sub-district using SABI and NDVI algorithms | ||
| Journal of University of Anbar for Humanities | ||
| Article 34, Volume 2021, Issue 2, June 2021, Pages 1997-2031 PDF (2.13 M) | ||
| DOI: 10.37653/juah.2021.171602 | ||
| Author | ||
| Mohammed Mohsin Abdullah | ||
| Abstract | ||
| The current study focuses on building a model for vegetation changes in the Abbasid sub-district using the SABI and NDVI algorithm, as the research focused on studying the natural and human factors that affect vegetation cover, and then building digital models that depend on the mathematical algorithms obtained through satellite visuals in a region Spectral, through ARC GIS-based software processors and the Model Builder Extension, to make these models ready tools for obtaining the density of vegetation cover in any geographical area. When applying the two models, it became clear that the SABI model for the derivation of vegetative indices and algae was more accurate than the NDVI model for also deriving vegetative indices. The second model on two scales are (Band 4, Band 5) in Landsat 8. In addition, the SABI model works on deriving aquatic plants as well, while the second model cannot. From the application of the two models to monitoring the change of vegetation cover, it became clear that the region was experiencing a significant change during (30) years for the period (1990-2020) at the level of its agricultural provinces. | ||
| Keywords | ||
| Vegetation; model for also deriving vegetative; algorithm; Agricultural | ||
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