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Mapeamento de quintais privados por meio de sensoriamento remoto
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hamamura, Caio |
| Copyright Year | 2013 |
| Abstract | Mapping private gardens with remote sensing Urban vegetation mapping has been restricted to the public areas or the total area, not showing the contribution of the private yards to the urban greening. Some studies indicate that these areas have potential to mitigate the impacts caused by the urbanization. In this work, many methods for mapping pervious gardens were tested aiming the development of a method that could aid urban planning and investigating the contribution of these areas to the urban greening. This work achieved highly accurate results (kappa = 0.9553) and presented novel techniques for filtering and classification. We highlight the development of a simple application to perform the Kuwahara filter, which improved the results of the classification by pixel approach. The classification algorithms by pixel approach resulted in statistically more accurate products, although visually the results presented by object-oriented approach is closer to landscape features. |
| File Format | PDF HTM / HTML |
| DOI | 10.11606/D.11.2013.tde-12072013-164641 |
| Alternate Webpage(s) | http://www.teses.usp.br/teses/disponiveis/11/11150/tde-12072013-164641/publico/Caio_Hamamura_versao_revisada.pdf |
| Alternate Webpage(s) | https://teses.usp.br/teses/disponiveis/11/11150/tde-12072013-164641/publico/Caio_Hamamura_versao_revisada.pdf |
| Alternate Webpage(s) | https://doi.org/10.11606/D.11.2013.tde-12072013-164641 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
