The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite
The Korea Aerospace Research Institute (KARI) estimated paddy rice classification maps over Northeast Asia using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite) data. In the case of classification map of rice paddy, it is not only used as input...
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| Format: | Article |
| Language: | English |
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GeoAI Data Society
2021-03-01
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| Series: | Geo Data |
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| Online Access: | http://geodata.kr/upload/pdf/geo-3-1-18.pdf |
| _version_ | 1797690769335648256 |
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| author | Seungtaek Jeong Jonghan Ko Jong-Min Yeom |
| author_facet | Seungtaek Jeong Jonghan Ko Jong-Min Yeom |
| author_sort | Seungtaek Jeong |
| collection | DOAJ |
| description | The Korea Aerospace Research Institute (KARI) estimated paddy rice classification maps over Northeast Asia using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite) data. In the case of classification map of rice paddy, it is not only used as input data for estimating rice yield, but also for various fields such as agriculture, weather, climate change, bio energy, and ecology. The spatial resolution of the classified rice map is 500 m, and the classification map was estimated yearly temporal resolution from 2011 to 2017. The spatial coverage of the classification map was the Northeast Asia with the latitude 25 ° N ~ 47 ° N and the longitude 115 ° E ~ 145 ° E as shown in Fig. 1 including Heilongjiang Sheng, Jilin Sheng, and Liaoning Sheng. In this classification map of paddy rice, it was calculated by applying geostationary orbiting satellites based on value-added products from Geostationary Ocean Color Imager (GOCI). In this study, we additionally used MODIS Land Surface Water Indices (LSWI) to support rice classification by considering the physical characteristics of rice cultivation area in the transplanting season. Basically, the radiance value of the top of atmosphere (TOP) observed in GOCI satellite was corrected to the surface reflectance at the top of the canopy through radiative transfer model. After that, NDVI, which can reflect the time series growth characteristics of rice, was estimated first. In addition, the MODIS LSWI index was used to determine the rice cultivation area with the NDVI in Northeast Asia by reflecting the water characteristics of the rice cultivation area during the transplanting period. More details of validation results for this algorithm can be found in previous studies. |
| first_indexed | 2024-03-12T02:03:56Z |
| format | Article |
| id | doaj.art-17968e95c25f49c78c0d7d1e989e9724 |
| institution | Directory Open Access Journal |
| issn | 2713-5004 |
| language | English |
| last_indexed | 2024-03-12T02:03:56Z |
| publishDate | 2021-03-01 |
| publisher | GeoAI Data Society |
| record_format | Article |
| series | Geo Data |
| spelling | doaj.art-17968e95c25f49c78c0d7d1e989e97242023-09-07T05:58:58ZengGeoAI Data SocietyGeo Data2713-50042021-03-0131182210.22761/DJ2021.3.1.00337The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satelliteSeungtaek Jeong0Jonghan Ko1Jong-Min Yeom2Satellite Application Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaApplied Plant Science, Chonnam National University, Gwangju 61186, Republic of KoreaSatellite Application Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaThe Korea Aerospace Research Institute (KARI) estimated paddy rice classification maps over Northeast Asia using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite) data. In the case of classification map of rice paddy, it is not only used as input data for estimating rice yield, but also for various fields such as agriculture, weather, climate change, bio energy, and ecology. The spatial resolution of the classified rice map is 500 m, and the classification map was estimated yearly temporal resolution from 2011 to 2017. The spatial coverage of the classification map was the Northeast Asia with the latitude 25 ° N ~ 47 ° N and the longitude 115 ° E ~ 145 ° E as shown in Fig. 1 including Heilongjiang Sheng, Jilin Sheng, and Liaoning Sheng. In this classification map of paddy rice, it was calculated by applying geostationary orbiting satellites based on value-added products from Geostationary Ocean Color Imager (GOCI). In this study, we additionally used MODIS Land Surface Water Indices (LSWI) to support rice classification by considering the physical characteristics of rice cultivation area in the transplanting season. Basically, the radiance value of the top of atmosphere (TOP) observed in GOCI satellite was corrected to the surface reflectance at the top of the canopy through radiative transfer model. After that, NDVI, which can reflect the time series growth characteristics of rice, was estimated first. In addition, the MODIS LSWI index was used to determine the rice cultivation area with the NDVI in Northeast Asia by reflecting the water characteristics of the rice cultivation area during the transplanting period. More details of validation results for this algorithm can be found in previous studies.http://geodata.kr/upload/pdf/geo-3-1-18.pdfpaddy mapcomsspectral indicesagriculture |
| spellingShingle | Seungtaek Jeong Jonghan Ko Jong-Min Yeom The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite Geo Data paddy map coms spectral indices agriculture |
| title | The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite |
| title_full | The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite |
| title_fullStr | The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite |
| title_full_unstemmed | The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite |
| title_short | The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite |
| title_sort | spatial data of paddy rice classification over northeast asia using coms geostationary satellite |
| topic | paddy map coms spectral indices agriculture |
| url | http://geodata.kr/upload/pdf/geo-3-1-18.pdf |
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