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1 2023

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Evaluation the Soil-Adjusted Vegetation Indices SAVI and MSAVI for Bristol City, United Kingdom Using Landsat 8-OLI Through Geospatial Technology

Kareem Hayder H., Attaee Muammar H., Omran Zainab Ali

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 7

89--97

Soil moisture is highly variable in space and time; moreover, it has nonlinear effects on a wide variety of environmental systems. Understanding the multiple hydrological processes, developing more accurate models of those processes, and applying those models to conservation planning all benefit greatly from a better characterization of temporal and geographic variability in soil moisture. Vegetation indices (VIs) are used to assess vegetative coverings objectively and subjectively through spectral observations. The spectral responses of vegetated areas are influenced by many factors, including vegetation and soil brightness, environmental influences, soil color, and moisture. This research looked into the soil adjusted indices SAVI and MSAVI for the city of Bristol in the United Kingdom and assessed them. The Landsat 8 OLI of the research area was downloaded, whereas Bands 4 and 5 were processed in a geographic information system (GIS) to provide SAVI and MSAVI. The obtained values for the SAVI index are between -0.557 and 0.425, and the obtained values for the MSAVI index are between -1.183 and 0.441. The MSAVI is able to extract a thicker layer of vegetation than the SAVI. Similarly, MSAVI has revealed more non-vegetated locations compared to those extracted by SAVI. Since the MSAVI index provides reliable signals of land cover, it should be used in research applications. Technically, the work presented the GIS functionality of a raster calculator for processing Landsat 8 OLI data, and regionally, it added to the studies of Bristol City.