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	An heuristic uncertainty directed field sampling design for digital soil mapping
	Zhang S. J.; Zhu, A. X.; Liu, J.; Yang, L.; Qin, C. Z.; an, Y. M.; Yu, GR; He, NP; Zhang, XY; Wang, QF
	2016
关键词	Legacy samples Individual representativeness Prediction uncertainty Stepwise sampling scheme feedback dynamic patterns fuzzy-logic maps optimization information resolution selection science forests china
英文摘要	Legacy samples are a valuable data source for digital soil mapping. However, these sample sets are often small in size and ad hoc in spatial distribution. Constrained by the limited representativeness of such a sample set, the obtained soil maps are often incomplete in spatial coverage with "gaps" at the locations which cannot be well represented by these samples. The maps may also contain areas of high prediction uncertainty. In order to extend the predicted area and reduce prediction uncertainty, additional samples are needed. This paper presents a sampling design based on prediction uncertainty to select samples which will effectively complement the sparse and ad hoc samples, and maximize the spatial coverage of prediction and minimize prediction uncertainty. A case study in China shows that this sampling scheme was effective in achieving these goals. Compared with stratified random sampling scheme, when the number of additional samples is the same, the produced map using uncertainty directed samples has larger predicted area, and the accuracy of the produced map is higher than that of the maps using stratified random samples. The finding of this study suggests that prediction uncertainty is a useful indicator to aid field sample selection and to complement the legacy data. Furthermore, the mapping accuracy produced using this method can be quantitatively related to the number of additional samples needed which opens a new horizon for digital soil mapping. (c) 2015 Published by Elsevier B.V.
出处	Geoderma
卷	267
页	123-136
收录类别	SCI
语种	英语
ISSN号	0016-7061
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43904]
专题	地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
推荐引用方式 GB/T 7714	Zhang S. J.,Zhu, A. X.,Liu, J.,et al. An heuristic uncertainty directed field sampling design for digital soil mapping. 2016.

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