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Selected sites represented agricultural, urban, and mixed land use classes.
There were no extreme differences in the age structure between our land use classes.
The different colors in the maps represent the individual land use classes (see legend below).
An unsupervised clustering technique was adapted to classify 27 land use classes.
Our land use classes have a similar age standard deviation (streets: 15 years; mixed: 17 years; parks: 15 years).
From land use classes, barren land, sparse forest and grassland classes showed a strong relation with landslides.
Similar(18)
This probably reflects the diffuse nature of land-use classes, especially settlements and plantations.
These land-use classes are delineated from LANDSAT ETM + data and ground verification (Fig. 8).
This study aimed to quantitatively characterize land-use classes using shape metrics.
We calculated areas of land-use classes and associated landscape indices.
For the individual land-use classes, the user accuracy ranged from less than 0.001 to 0.991.
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