Authors :
Dhahaba Nasser Al-Shaiba; Fadl Mutaher Ba-Alwi; Tarek H. Al-Hibshi
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3yj2d1i
DOI :
https://doi.org/10.5281/zenodo.6525949
Abstract :
The aim of the study is to classify and
monitor changes in vegetation and land cover in the
Tehama region using Landsat 8 images for the periods
2015 and 2021, and geographic information systems
(GIS). Vegetation cover can be classified and monitored
using many indicators, such as Vegetation Index (VI),
Difference Vegetation Index (DVI), Green Vegetation
Index (GVI), and Optimized Soil-Adjusted Vegetation
Index (OSAVI), but the most common index used to
monitor vegetation cover is the Normalized Difference
Vegetation Index (NDVI). NDVI was applied to two
different periods, 2015 and 2021. For both periods,
Landsat 8 satellite images have been used for the study
area in order to assess changes in the vegetation cover
of the Tehama Coastal Plain. The differences in NDVI
for the two periods were detected and classified using
ArcGIS software Ver. 10.8. The results of the
classification showed a remarkable improvement in the
vegetation cover, as they increased in 2021 compared to
2015 by about 9.5%, and the number of farms
(uncultivated) increased by about 11.4%. This is
attributed to the changes in the climate conditions in the
area. The data showed an increase in rainfall in 2020
with a partial decrease in 2021. In general, the
abundance of rainfall water for the last two years
helped the growth rate of agricultural activities and
spread in the region.
Keywords :
Vegetation; NDVI; Satellite Images; GIS.
The aim of the study is to classify and
monitor changes in vegetation and land cover in the
Tehama region using Landsat 8 images for the periods
2015 and 2021, and geographic information systems
(GIS). Vegetation cover can be classified and monitored
using many indicators, such as Vegetation Index (VI),
Difference Vegetation Index (DVI), Green Vegetation
Index (GVI), and Optimized Soil-Adjusted Vegetation
Index (OSAVI), but the most common index used to
monitor vegetation cover is the Normalized Difference
Vegetation Index (NDVI). NDVI was applied to two
different periods, 2015 and 2021. For both periods,
Landsat 8 satellite images have been used for the study
area in order to assess changes in the vegetation cover
of the Tehama Coastal Plain. The differences in NDVI
for the two periods were detected and classified using
ArcGIS software Ver. 10.8. The results of the
classification showed a remarkable improvement in the
vegetation cover, as they increased in 2021 compared to
2015 by about 9.5%, and the number of farms
(uncultivated) increased by about 11.4%. This is
attributed to the changes in the climate conditions in the
area. The data showed an increase in rainfall in 2020
with a partial decrease in 2021. In general, the
abundance of rainfall water for the last two years
helped the growth rate of agricultural activities and
spread in the region.
Keywords :
Vegetation; NDVI; Satellite Images; GIS.
