Abstract
Normalized difference vegetation index (NDVI) has been a common tool for the studies of vegetation vigor and multitemporal land cover changes. While it can reflect these on a per-pixel basis, aggregating NDVI on planning units allows the author to study environmental quality and changes in terms of the amount and condition of vegetation and green space in a city. In this study, NDVI images were extracted from multitemporal SPOT images from 1987 to 1995 in Hong Kong. NDVI mean values were aggregated at the tertiary planning unit (TPU) level and studied. They are highly associated with high NDVI features such as woodland and high scrub. They have a high correlation with crowdedness within the city. TPU of constant increase and decrease in NDVI mean values reveal the effect of new landscape design and the pressure of urban encroachment respectively.
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