Very high resolution of Jakarta's urban green space data

Very high resolution of Jakarta’s urban green space data was produced using fusion of three different earth observation data (Planet, Sentinel-1 SAR, and Sentinel-2 MSI). Planet data was first transformed into Red Edge Triangulated Vegetation Index (RTVI) and the Red Edge Triangulated Wetness Index (RTWI) spectral indices before classification. Training and testing data were gathered from Google Street View. Two machine learning algorithms were used (Random Forest (RF) and Classification and Regression Tree (CART)) within the Google Earth Engine (GEE) cloud computing platform. To refine the data, Google's Open Building Data was used, the data was accessible through the GEE data catalog.