| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10503269 | Landscape and Urban Planning | 2012 | 10 Pages |
Abstract
⺠We present a urban area change mapping approach from satellite. ⺠We used the SVI index for urban mapping using Landsat remote sensing data. ⺠We set up a framework for urban change detection based on SVI index ratio. ⺠We deliver urban growth results following a multi-temporal and multi-scale way. ⺠Accuracy and flexibility of the method enforce the value of the approach.
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Authors
Paolo Villa,