Analysis of green open space availability in Surabaya city using Google earth engine.

Surabaya city has been the center of economy and industry for several decades. It is a port city where all economic activities happen that affect the conversion of the land from its original cover into economic uses. As a result, the land and the open space areas become scarce. The same thing happened to green open spaces, which experienced a decrease in the number of areas. This research aims to find, calculate, analyze, and evaluate green open space using object-based image classification. With advanced remote sensing satellite technology such as Sentinel 2 MSI, the satellite can produce images for use to extract green open space. Google Earth Engine (GEE) offers image processing tools to extract land cover information, including green open space. SNIC (Simple Non-Iterative Clustering) algorithm is used to segment the images and then merge with PCA (Principal Component Analysis) of the GLCM (Gray level co-occurrences matrix) algorithm from the textural analysis. Both become critical processes of OBIA classification in this research. The result shows that the green open space area occupies only 19% of Surabaya City, which is still below the minimum 30% standard of green open space available in the city according to the law. [ABSTRACT FROM AUTHOR]