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   2019, Vol.18 No.02 

   Published 2019-02-01

Spatially accurate soil information is critical for precision agriculture, environmental protection and climate mitigation. Unfortunately, the conventional soil maps that were produced by soil survey and traditional mapping techniques, are often inaccessible, coarse and inconsistency at scales, and with limited attribute data. Moreover, these maps require long time in preparation and can hardly be updated over time. Thus, new technologies are urgently needed to fill the gaps between the coarse soil information and the development of data-driven modern agriculture. Digital soil mapping (DSM) is a useful tool to infer the spatial and temporal variations of both qualitative and quantitative soil data in a particular area, and produces maps using related environmental variables. Since last decade, major progresses have been made in different aspects of DSM including soil data sources, predictive models, environmental covariates, and the applications. The Special Focus of “Digital mapping in agriculture and environment” brings together updates on different aspects with focus in agriculture and the environment. Cover photo is provided by Dr. TENG Hong-fen from College of Environmental and Resource Sciences, Zhejiang University, China. See pages 251–264 by Teng et al. for more details.
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