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http://dx.doi.org/10.4491/KSEE.2016.38.10.551

Analysis of the Spatial Distribution of Total Phosphorus in Wetland Soils Using Geostatistics  

Kim, Jongsung (ICT Convergency and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
Lee, Jungwoo (Environmental Engineering Research Division, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korean Society of Environmental Engineers / v.38, no.10, 2016 , pp. 551-557 More about this Journal
Abstract
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 $R^2$ of 0.59 and the regression kriging model showed $R^2$ 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.
Keywords
Soil Prediction Model; Geostatistics; Satellite Image; Semivariogram; Block Kriging; Regression Kriging;
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