ANALYSIS OF VEGETATION DENSITY IN FLOOD DISASTER USINGLANDSAT 8 IMAGERY IN JEMBER URBAN AREA 2010-2019 AND 2020-2022

Abstract

Vegetation has an important in human life. Studies related to vegetation can include its
density or distribution in the area. To analyze the vegetation density in an area by using
Remote Sensing System technology. This study aims to analyze vegetation density in flood
disaster using Landsat 8 imagery in the urban area of Jember in 2010-2019 and 2020-2022.
The research method used is a quantitative research method. This type of research was chosen
because there will be data that needs to be processed using remote sensing techniques, which
are also related to numbers. The research object to be studied is vegetation density using
Landsat 8-OLI imagery and field survey data. The data collection technique in this study uses
the observation method to compare the results of imagery processing on the Envi 4.5
application with direct conditions in the field, then field documentation is carried out. Then
the vegetation index method used is the NDVI method (Normalized Difference Vegetation
Index). The results of the research it is known that several sub-districts in the center of
Jember Regency, such as Patrang, Sumbersari, and Kaliwates sub-districts, have land cover
for vegetation that varies from medium to dense vegetation.