| Abstrak/Abstract |
In remote sensing spatial data analysis, various methods are used to understand and evaluate the
information obtained. The approach used so far is remote sensing visual analysis which offers various
advantages compared to other methods. Visual analysis utilizes visualization techniques to facilitate
the identification and interpolation of highly complex patterns of presented spatial data. The main
advantage of this analysis is that it presents information that is easy to understand with an approach
to spatial data interpretation elements. Another advantage of visual analysis is that it presents
intuitive data that allows it to be analyzed quickly, observing relationships and changes in the data.
This contrasts with numerical analysis, which produces outputs like tables and numbers requiring
more complex analysis. In addition, visual analysis can also improve the detection of anomalies and
missed patterns when using a number-based or formula-based approach. This study aims to examine
visual analysis for more complex land use extraction using the interpretation elements used. From
the results of the study, it can be concluded that simple visual analysis can provide information that
is very complex, easy to understand, and in harmony with the quality of spatial data. |
