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| 지구통계학을 이용한 습지 토양 중 총인의 공간분포 분석 |
| 김종성1, 이정우2 |
1한국건설기술연구원 ICT 융합연구소
2한국건설기술연구원 환경연구소 |
| Analysis of the Spatial Distribution of Total Phosphorus in Wetland Soils Using Geostatistics |
| Jongsung Kim1, Jungwoo Lee2 |
1ICT Convergency and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology
2Environmental Engineering Research Division, Korea Institute of Civil Engineering and Building Technology |
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Received: June 21, 2016; Revised: October 4, 2016; Accepted: October 19, 2016. Published online: October 31, 2016. |
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| ABSTRACT |
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Fusing satellite images and site-specific observations have potential to improve a predictive quality of environmental properties. However, the effect of the utilization of satellite images to predict soil properties in a wetland is still poorly understood. For the reason, block kriging and regression kriging were applied to a natural wetland, Water Conservation Area-2A in Florida, to compare the accuracy improvement of continuous models predicting total phosphorus in soils. Field observations were used to develop the soil total phosphorus prediction models. Additionally, the spectral data and derived indices from Landsat ETM+, which has 30 m spatial resolution, were used as independent variables for the regression kriging model. The block kriging model showed R2 of 0.59 and the regression kriging model showed R2 of 0.49. Although the block kriging performed better than the regession kriging, both models showed similar spatial patterns. Moreover, regression kriging utilizing a Landsat ETM+ image facilitated to capture unique and complex landscape features of the study area. |
| Key Words:
Soil Prediction Model, Geostatistics, Satellite Image, Semivariogram, Block Kriging, Regression Kriging |
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