1전임연구원, 국립생태원 기후탄소연구팀, 충청남도 서천군 마서면 금강로 1210, 33657, 대한민국
2연구원, 국립생태원 기후탄소연구팀, 충청남도 서천군 마서면 금강로 1210, 33657, 대한민국
3선임연구원, 국립생태원 기후탄소연구팀, 충청남도 서천군 마서면 금강로 1210, 33657, 대한민국
1Associate Researcher, Climate Change and Carbon Research Team, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, 33657 Chungcheongnam-do, South Korea
2Researcher, Climate Change and Carbon Research Team, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, 33657 Chungcheongnam-do, South Korea
3Senior Researcher, Climate Change and Carbon Research Team, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, 33657 Chungcheongnam-do, South Korea
Copyright © 2024 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/4.0/) 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 study was supported by a grant from the National Institute of Ecology (NIE), funded by the Ministry of Environment (MOE) of the Republic of Korea (NIE-B-2024-44).
Data Availability Statement
The data that support the findings of this study are openly available in EcoBank at https://doi.or.kr/10.22756/GEO.20240000000882.
Essential |
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Field | Sub-Category | |
Title of Dataset | Dataset construction for monitoring the effects of ecosystem restoration projects | |
DOI | https://doi.or.kr/10.22756/GEO.20240000000882 | |
Category | Environment (Environmental resources) | |
Temporal Coverage | 2010.01.-2023.12. | |
Spatial Coverage | Address | South Korea |
WGS84 Coordinates | Latitude 32°53’13.51‘‘ N-38°44’43.74‘‘ N | |
Longitude 124°4’49.16‘‘ E-131°48’20.61‘‘ E | ||
Personnel | Name | Jaegyu Cha |
Affiliation | National Institute of Ecology | |
flow@nie.re.kr | ||
CC License | CC BY-NC | |
Optional |
||
Field | Sub-Category | |
Summary of Dataset | This dataset catalogs 338 cases of ecosystem restoration projects (including Ecosystem Conservation Fund Return Projects, Jayeon Madang Restoration Projects, and Urban Ecological Corridor Restoration Projects) conducted between 2010 and 2023. Time series data(2013~2023) for normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference moisture index (NDMI) and land surface temperature (LST) were provided using satellite-based spatial data. | |
Project | Study on Review Methodology for Climate Change Impact Assessment in Ecosystems | |
Instrument | Google Earth Engine (GEE), ArcGIS Pro 3.1.3 |
Attribute | Formula | Satellite data | Cloud cover (%) | Resolution (resample) (m) |
---|---|---|---|---|
NDVI | (NIR-red)/(NIR+red) | Landsat 8 | ≤20 | 90×90 |
NDBI | (SWIR-NIR)/(SWIR+NIR) | Landsat 8 | ≤20 | 90×90 |
NDMI | (NIR-SWIR)/(NIR+SWIR) | Landsat 8 | ≤20 | 90×90 |
LST | (ST 10×0.00341802+149.0)-273.15 | Landsat 8 | ≤20 | 90×90 |
Essential |
||
---|---|---|
Field | Sub-Category | |
Title of Dataset | Dataset construction for monitoring the effects of ecosystem restoration projects | |
DOI | ||
Category | Environment (Environmental resources) | |
Temporal Coverage | 2010.01.-2023.12. | |
Spatial Coverage | Address | South Korea |
WGS84 Coordinates | Latitude 32°53’13.51‘‘ N-38°44’43.74‘‘ N | |
Longitude 124°4’49.16‘‘ E-131°48’20.61‘‘ E | ||
Personnel | Name | Jaegyu Cha |
Affiliation | National Institute of Ecology | |
flow@nie.re.kr | ||
CC License | CC BY-NC | |
Optional |
||
Field | Sub-Category | |
Summary of Dataset | This dataset catalogs 338 cases of ecosystem restoration projects (including Ecosystem Conservation Fund Return Projects, Jayeon Madang Restoration Projects, and Urban Ecological Corridor Restoration Projects) conducted between 2010 and 2023. Time series data(2013~2023) for normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference moisture index (NDMI) and land surface temperature (LST) were provided using satellite-based spatial data. | |
Project | Study on Review Methodology for Climate Change Impact Assessment in Ecosystems | |
Instrument | Google Earth Engine (GEE), ArcGIS Pro 3.1.3 |
NDVI, normalized difference vegetation index; NDBI, normalized difference built-up index; NDMI, normalized difference moisture index; LST, land surface temperature; NIR, near Infrared; SWIR, short-wave infrared; ST, surface temperature.