کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6408611 | 1629465 | 2015 | 12 صفحه PDF | دانلود رایگان |
- Digital soil maps were validated at three spatial supports.
- DSMs at the coarsest support (soil-land use complexes) were the most accurate.
- Validation at the point support is the worst case scenario for assessing map quality.
- Future work should validate digital soil maps at block supports up to 1000Â m.
In this study we validated digital soil maps of clay content at different spatial supports; point, 48Â m blocks and soil-land use complexes (SLU). The aim being to examine the change in prediction quality with different prediction supports. Digital soil maps of clay content at depths of 0-10Â cm, 10-30Â cm and 30-50Â cm were created using linear mixed models, legacy soil data and readily available covariates such as digital terrain attributes, landsat and gamma radiometrics. A random stratified sampling design was used to collect an independent validation dataset. There was little change in the accuracy between the point (RMSEÂ =Â 15.7% for 0-10Â cm, 17.4% for 10-30Â cm, 15.2% for 30-50Â cm) and 48Â m block supports (RMSEÂ =Â 15.5% for 0-10Â cm, 17.1% for 10-30Â cm, 13.5% for 30-50Â cm). However the prediction quality was much improved at the support of the SLUs (RMSEÂ =Â 9.5% for 0-10Â cm, 10.1% for 10-30Â cm and 5.1% for 30-50Â cm). It is a standard practice in digital soil mapping studies to validate at the point support but our results show that this is likely to represent the worst case scenario for assessing their prediction quality. Further work should consider finding optimal prediction supports for creating digital soil maps.
Journal: Geoderma - Volumes 241â242, March 2015, Pages 238-249