The Relationship Between LST, NDVI, NDBI, and OTCI in Urban Green Space in Jakarta With Geospatial Data

Abstract Mapping uses geospatial data on the Vegetation Index, Chlorophyll Index or OTCI, Land Surface Temperature, the Built-up area Index in Jakarta and calculates the correlation of these variables using the Pearson correlation method with samples as many as 30. The correlation results of NDBI, NDVI, LST, and OTCI show that there are strong and not strong relationships between the two variables. There are strong correlations between the two variables, these are NDBI and LST with a correlation of 0.751, NDBI with NDVI has -0.904, NDVI with LST has -0.711, and OTCI with NDVI has 0.428. Meanwhile, the correlation is less strong between the two variables, these are OTCI and LST with a correlation of -0.140 and OTCI with NDBI with a correlation of -0.268.