CORRELATION ANALYSIS OF PM10 AIR POLLUTION WITH NDVI (NORMALIZED DIFFERENCE VEGETATION INDEX) BASED ON LANDSAT-8 AND SENTINEL-2A SATELLITE IMAGES (Case Study: Bandung City, West Java)

Muhammad Reza Chandra Kusuma, Rika Hernawati, Soni Darmawan

Abstract


Dust particulates in the air Suspended Particulate Matter (SPM) is a mixture of various organic and inorganic compounds with small diameters ranging from <1 micron - 500 microns. Particulate (PM10) is an air particle that is less than 10 microns in size. This study correlates the NDVI vegetation index with PM10 in Bandung, West Java in 2001 - 20019 from these results show the relationship between NDVI and air pollution index is negative or inversely proportional, which means the higher (+) NDVI, the air pollution index decreases (-) with a confidence level of 39.35% in 2001, 45.13% in 2006, 60.04% in 2011, 36.83% in 2016, 50.71% in 2019 and 46.96% in 2018 and 48.96% in 2019 with Sentinel. Thus, the NDVI index can be used to obtain air pollution information that indicates if the NDVI index value in the extraction will get a correlation value between Landsat 8 satellite images and Sentinel 2A where the correlation results on field measurements are Landsat at 68.93% and Sentinel 90.15%.

Keywords


PM10; Landsat 8; Sentinel 2A; NDVI; Correlation

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References


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DOI: http://dx.doi.org/10.24895/SNG.2019.4-0.1093

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