Urban Vegetation Quality Assessment Using Vegetation Index and Leaf Area Index from Spot 7 Data with Fuzzy Logic Algorithm

Urban vegetation plays an essential role in the health and comfort of urban environment. On other hand, decrease is mostly due to land cover change from build up area. Detection objects for monitoring distribution extent realizing a sustainable SPOT 7 satellite image data with high spatial resolution can display areas, including vegetation. With this capability, extraction be conducted more accurately. This study aims assess quality using index Leaf Area Index (LAI) data. The method proposed was fuzzy logic on each LAI, which extended by involving all indexes. results showed that classification could done NDVI, SR, RDVI, another LAI extracted algorithm. Based these four variables' overlay, highest shown value 0.928, lowest has 0.004. paddy fields mixed garden, while bare grass plantation. results, appropriate treatment area determined.