우리나라 기상 관측소 주변 토지 피복 변화 경향
Patterns in Land Cover Changes Around Weather Stations in South Korea
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참고문헌
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초록
Land cover around weather station can affect various climatic elements such as temperature, precipitation, wind and moisture. This study tries to reveal patterns and causes in land cover changes around weather stations in South Korea and to classify types of the land cover changes. The agricultural land, forest and used area have occupied most areas around un-relocated 47 weather stations with enough weather observation durations for the past 20-30 years. Area of the agricultural land shows steady decrease with remarkable areal decrease in the wetland, while steady areal increase is found in the used area. Due to urban expansions and new town developments around the weather stations, areas of the urbanization type (used area+barren) and suburbanization type (agricultural land+forest+grass+wetland) show steady increase and decrease, respectively. On the other hand, accurate changes in land cover are not reflected in the water-front type (wetland+water) due to errors and limitations in land cover classification using satellite images. It is expected that the results in this study can contribute to reliability and homogeneity enhancement of weather data.
Abstract
Land cover around weather station can affect various climatic elements such as temperature, precipitation, wind and moisture. This study tries to reveal patterns and causes in land cover changes around weather stations in South Korea and to classify types of the land cover changes. The agricultural land, forest and used area have occupied most areas around un-relocated 47 weather stations with enough weather observation durations for the past 20-30 years. Area of the agricultural land shows steady decrease with remarkable areal decrease in the wetland, while steady areal increase is found in the used area. Due to urban expansions and new town developments around the weather stations, areas of the urbanization type (used area+barren) and suburbanization type (agricultural land+forest+grass+wetland) show steady increase and decrease, respectively. On the other hand, accurate changes in land cover are not reflected in the water-front type (wetland+water) due to errors and limitations in land cover classification using satellite images. It is expected that the results in this study can contribute to reliability and homogeneity enhancement of weather data.
참고문헌 (20)
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