1석박통합과정생, 서울시립대학교 공간정보공학과, 서울특별시 동대문구 서울시립대로 163, 02504, 대한민국
2석박통합과정생, 서울시립대학교 스마트시티학과, 서울특별시 동대문구 서울시립대로 163, 02504, 대한민국
3교수, 서울시립대학교 공간정보공학과, 서울특별시 동대문구 서울시립대로 163, 02504, 대한민국
4교수, 서울시립대학교 스마트시티학과, 서울특별시 동대문구 서울시립대로 163, 02504, 대한민국
5방문연구원, 서던 메소디스트 대학교 지구과학과, 6425 Baoz Lane, Dallas, 75205 TX, 미국
6연구위원, 한국환경연구원 환경계획연구실, 세종특별자치시 시청대로 370, 30147, 대한민국
7책임연구원, 한국항공우주연구원 위성활용부, 대전광역시 유성구 과학로 169-84, 34133, 대한민국
8선임연구원, 한국항공우주연구원 위성활용부, 대전광역시 유성구 과학로 169-84, 34133, 대한민국
1Integrated Master and PhD Student, Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, 02504 Seoul, South Korea
2Integrated Master and PhD Student, Department of Smart Cities, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, 02504 Seoul, South Korea
3Professor, Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, 02504 Seoul, South Korea
4Professor, Department of Smart Cities, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, 02504 Seoul, South Korea
5Hamilton Visiting Fellow, Department of Earth Sciences, Southern Methodist University, 6425 Boaz Lane, Dallas, 75205 TX, USA
6Senior Research Fellow, Division for Environmental Planning, Korea Environment Institute, 370 Sicheong-daero, 30147 Sejong, South Korea
7Principal Researcher, Satellite Application Center, Korea Aerospace Research Institute, 169-84 Gwahak-ro, Yuseong-gu, 34133 Daejeon, South Korea
8Senior Researcher, Satellite Application Center, Korea Aerospace Research Institute, 169-84 Gwahak-ro, Yuseong-gu, 34133 Daejeon, South Korea
Copyright © 2023 GeoAI Data Society
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflict of Interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Funding Information
This work is financially supported by Korea Ministry of Land, Infrastructure and Transport (MOLIT) as 「Innovative Talent Education Program for Smart City ('19-'23)」.
Data Availability Statement
The data that support the findings of this study are openly available in GEO DATA at https://doi.org/10.22761/GD.2023.0054.
Area |
Year |
Total | |
---|---|---|---|
2019 | 2020 | ||
Seosan | 1,229 | 1,365 | 2,597 |
Anseong | 2,447 | 2,462 | 4,909 |
Naju | 2,229 | 2,319 | 4,548 |
Geochang | 1,440 | 1,542 | 2,982 |
Sort | Field | Subcategory#1 | Subcategory#2 |
---|---|---|---|
Essential | *Title | Rural hazardous facilities segmentation AI dataset | |
*DOI name | https://doi.org/10.22761/GD.2023.0054 | ||
*Category | Rural data | ||
Abstract | |||
*Temporal Coverage | 2019, 2020 | ||
*Spatial Coverage | Seosan, Ansung, Naju, Geochang | Republic of Korea | |
WGS84 Coordinates | |||
*Personnel | Name | Sung-Hyun Gong | |
Affiliation | University of Seoul | ||
gong961107@uos.ac.kr | |||
*CC License | CC BY | ||
Optional | *Project | ||
*Instrument | KOMPSAT ortho mosaic imagery |
Original data | GSD | Acquisition date | Spectral wavelength (nm) | Data type | Source |
---|---|---|---|---|---|
KOMPSAT ortho mosaic imagery | 0.7 m | 2019, 2020 | Blue: 450-520 | Grid | Korea Aerospace Research Institute |
Green: 520-600 | |||||
Red: 630-690 |
Original data | Factors | Acquisition date | Data type | Source |
---|---|---|---|---|
Livestock facility | Address | 2019, 2020 | Attribute data | Korea Rural Economic Institute |
Factory | Address | 2019, 2020 | Attribute data | Korea Rural Economic Institute |
Solar panel | Address | 2019, 2020 | Attribute data | Korea Rural Economic Institute |
Area | Year |
Total | |
---|---|---|---|
2019 | 2020 | ||
Seosan | 1,229 | 1,365 | 2,597 |
Anseong | 2,447 | 2,462 | 4,909 |
Naju | 2,229 | 2,319 | 4,548 |
Geochang | 1,440 | 1,542 | 2,982 |
Sort | Field | Subcategory#1 | Subcategory#2 |
---|---|---|---|
Essential | *Title | Rural hazardous facilities segmentation AI dataset | |
*DOI name | |||
*Category | Rural data | ||
Abstract | |||
*Temporal Coverage | 2019, 2020 | ||
*Spatial Coverage | Seosan, Ansung, Naju, Geochang | Republic of Korea | |
WGS84 Coordinates | |||
*Personnel | Name | Sung-Hyun Gong | |
Affiliation | University of Seoul | ||
gong961107@uos.ac.kr | |||
*CC License | CC BY | ||
Optional | *Project | ||
*Instrument | KOMPSAT ortho mosaic imagery |
GSD, ground sample distance.