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X. Huang, J. R. Jensen and H. E. Mackey, “Machine Learning Approach to Automated Construction of Knowledge Bases for Expert Systems for Remote Sensing Image Analysis with GIS Data,” Expert Systems with Applications, Vol. 11, No. 4, 1996, pp. 8-9.

has been cited by the following article:

• TITLE: Extraction of Urban Vegetation in Highly Dense Urban Environment with Application to Measure Inhabitants’ Satisfaction of Urban Green Space

  AUTHORS: Fatwa Ramdani

  KEYWORDS: Urban Vegetation; Remote Sensing; Vegetation Extraction; Indonesia

  JOURNAL NAME: Journal of Geographic Information System, Vol.5 No.2, April 16, 2013

  ABSTRACT: Urban environment has functioned not only for ecological reason but also for socioeconomic function, due to this reason extraction of urban vegetation in highly dense urban environment becomes more important to understand the inhabitants’ satisfaction of urban green space. With a medium resolution of satellite imagery, the precision is very low. We used high resolution of WorldView-2 satellite to raise the accuracy. We chose Depok City in West Java as a case study area, analyse four multispectral bands, and apply TCT algorithm for getting vegetation density. The relationship between vegetation density and inhabitants’ satisfaction was calculated by Geo-statistical technique based on administrative boundary. We extracted three types of urban vegetation density: good, mid and low. The final result shows that the inhabitants are mostly satisfied with good density of urban vegetation in the city forest inside Campus University of Indonesia.