Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
