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Assessing street greenery using imagery of Google Street View |
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| รหัสดีโอไอ | |
| Creator | Pongpun Juntakut |
| Title | Assessing street greenery using imagery of Google Street View |
| Contributor | Yaowaret Jantakat, Pradeep Kumar Shrestha |
| Publisher | Phetchaburi Rajabhat University |
| Publication Year | 2565 |
| Journal Title | Interdisciplinary Research Review (IRR) |
| Journal Vol. | 17 |
| Journal No. | 5 |
| Page no. | 1-5 |
| Keyword | Street greenery, Google street view, green view index, sky view factor |
| URL Website | https://ph02.tci-thaijo.org/index.php/jtir |
| Website title | Interdisciplinary Research Review (IRR) |
| ISSN | 2697-536X |
| Abstract | The streets at the old moat of Nakhon Ratchasima City Municipality (NCM) are a critical point of urban landscape. NCM people interact with streetscape in terms of well-being. This paper proposes the application of Google Street View (GSV) for surveying street greenery. This study focused on 15 streets at the old moat of NCM using 49 sampling points for designing and analyzing Green View Index (GVI) and Sky View Factor (SVF) on analysis of GSV images. GVI was used for estimating the percent of vegetation cover and SVF was used for quantifying the ratio of sky cover. According to the result, the GVI calculations were found between 1.41 – 44.18 percent that drivers or walkers could see green cover in the low percent (or < 50 percent). SVF value is between 0.73 – 0.86 that drivers or walkers could see clearly sky on 15-street at the old moat of NCM. These results show that all streets at the old moat of NCM should improve vegetation cover. Moreover, the application of GSV for surveying street greenery will be an alternative tool for geospatial workers or planners in green cities. |
