GEO DATA

From articles published in GEO DATA during the past two years (2021 ~ ).

Articles

The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite: Seungtaek Jeong, Jonghan Ko, Jong-Min Yeom; GEO DATA. 2021;3(1):18-22. Published online March 31, 2021; DOI: https://doi.org/10.22761/DJ2021.3.1.003

221 View
10 Download
2 Citations

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.

Citations

Citations to this article as recorded by

The Spatial Maps of Paddy Rice Yield over Northeast Asia Using COMS Geostationary Satellite and Reanalysis Meteorological Data
Seungtaek Jeong, Jonghan Ko, Jong-Min Yeom
GEO DATA.2021; 3(2): 20. CrossRef
The Map Data of BRDF-Adjusted Surface Reflectance from GOCI Geostationary Satellite Imagery over Korean Peninsula
Jong-Min Yeom
GEO DATA.2021; 3(4): 66. CrossRef

The Dataset of UAV Based High-resolution Tidal Topography at the Nakdong Estuary: Focusing on Jin-u Island and Shin-ja Island: Yeongjae Jang, Jingyo Lee, Joo-Hyung Ryu, Kye-Lim Kim, Hahn Chul Jung, Keunyong Kim; GEO DATA. 2022;4(1):27-36. Published online March 31, 2022; DOI: https://doi.org/10.22761/DJ2022.4.1.003

150 View
19 Download
1 Citations

Abstract PDF

In the tidal flats of the Nakdong Estuary, eight weirs were installed as part of the Four Major River Restoration Project in 2011, and the environment changed from a flowing stream to a still water stream. As the Nakdong River’s weir was permanently opened in February 2022, the topography and ecological environment are expected to large change. In this study, Unmanned Aerial Vehicle (UAV) photogrammetry was conducted on the tidal flats of the Nakdong Estuary in November 2021, the environment before the Nakdong River floodgates were opened. The study area was surveyed using the Network-RTK (Real-Time Kinematic) method to obtain Ground Control Point (GCP), and using an UAV, orthographic image and digital elevation model were generated for an area of 3.47 ㎢ near Jin-u island and 2.75 ㎢ near Shin-ja island. A result of spatial resolution of 1.8 cm was obtained, the result was verified using checkpoints, and results with accuracy exceeding 1 cm were obtained in both Sin-u Island and Jin-woo Island. In the future, changes in the topography and sedimentation environment of this area are expected, so it will be useful data for various research and conservation management.

Citations

Citations to this article as recorded by

Influence of Precipitation Conditions and Discharge Rates of River Estuary Barrages on Geomorphological Changes in an Estuarine Area
Sung-Bo Kim, Doo-Pyo Kim
Applied Sciences.2023; 13(17): 9661. CrossRef

Atmospheric and Surface Seawater CO2 Measurements on R/V ISABU in the Western North Pacific in the Summer of 2018: Seon-Eun Lee, Sosul Cho; GEO DATA. 2021;3(3):8-15. Published online September 30, 2021; DOI: https://doi.org/10.22761/DJ2021.3.3.002

255 View
6 Download
1 Citations

Abstract PDF

The ocean takes up approximately 24% of anthropogenic carbon dioxide (CO₂) emitted into the atmosphere in a year. The oceanic CO₂ uptake shows regional and seasonal differences depending on physical and chemical characteristics of seawater and biological activities (such as CO₂ fixation). In the tropical Western North Pacific, the surface water temperature is high, the supply of deep water is limited, and tropical cyclones usually pass in summer. We investigated atmospheric and sea surface CO₂ concentrations in this area using the continuous underway pCO2 measuring system equipped on the Research Vessel ISABU of Korea Institute of Ocean Science and Technology for about 21 days from August 29 to September 19, 2018. During the cruise, 9,367 CO₂ data were obtained from this measuring system with temperature, salinity, and GPS information. Higher CO₂ concentrations of the surface seawater than those of the atmosphere were observed in the areas of 22°N-23.5°N and 29°N-35°N where CO₂ was emitted into the atmosphere, while most of the areas between 17.5°N and 20.5°N were sinks for the atmospheric CO₂. This dataset can be used for future research on the distribution of partial pressure of carbon dioxide over the global ocean surface.

Citations

Citations to this article as recorded by

Sea Surface CO2 Measurements on the R/V ISABU in the Northwestern Pacific in October 2019
Nayeon Kang, Sosul Cho, Seon-Eun Lee
GEO DATA.2022; 4(3): 8. CrossRef

First
Prev
Page of 1
Next
Last

Most cited