A study on the establishment of crucial forest resources and cultural heritage protection systems using public big data (focusing on the use of QGIS)
| dc.coverage | Asia | |
| dc.coverage | Europe | |
| dc.coverage | Latin America and the Caribbean | |
| dc.coverage | northern America | |
| dc.creator | Lee, Eunhak | |
| dc.date | 2023-04-27T13:57:09Z | |
| dc.date | 2023-04-27T13:57:09Z | |
| dc.date | 2022 | |
| dc.date | 2023-02-24T03:55:37.0000000Z | |
| dc.date.accessioned | 2026-06-27T23:54:06Z | |
| dc.description | In case of huge wildfires, the command headquarter of the relevant forest site immediately becomes a center on which all resources, such as material resources and manpower, are concentrated, giving a negative impact on effective management for fire-fighting manpower on ground. Even worse, the conditions of wildfires are naturally varied by each case while the fire spreads into vast areas in a short time, if left unchecked, so a quick decision for the fire fighting is inevitable. For this reason, the necessity of providing wildfire maps is increasingly recognized. Therefore, a wildfire map was created by mapping major forest resources, protected-trees and spatial information of cultural assets with QGIS (Quantum Geographic Information System), an open source geographic information system. Also, a verification experiment was conducted by utilizing ‘QField’ (a smartphone application) as a decision making platform in the forest disaster scene. As a result of the experiment, firstly, there was an improvement in effectiveness of the hours required to deploy firefighters (300 meters reduced, 61% improvement in terms of time), as the command headquarters could easily identify the case to be handled with the highest priority, and deploy the necessary number of firefighters promptly; secondly, immediate decision making was available at the scene of forest fire frequently changed its development by several factors, including wind; and thirdly, by utilizing big data for several elements like helicopters stations and catchments, we secured interoperability and expandability through which various kinds of forest maps could be generated. It is expected that various kinds of forest maps in this study can be widely utilized in the wildfire scenes by combining the maps with big data platforms, such as public data portals and national spatial data infrastructure. Key words: QGIS; QField, wildfire fighting; Korea Forest Service ID: 3623494 | |
| dc.format | 7p. | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/cc1606en | |
| dc.identifier | http://www.fao.org/3/cc1606en/cc1606en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/294615 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | Non-FAO | |
| dc.rights | CC BY NC SA 3.0 IGO | |
| dc.title | A study on the establishment of crucial forest resources and cultural heritage protection systems using public big data (focusing on the use of QGIS) | |
| dc.title | XV World Forestry Congress, 2-6 May 2022 | |
| dc.type | Article |