Recent progress and future prospect of digital soil mapping: A review

• Main Authors: Gan-lin ZHANG, Feng LIU, Xiao-dong SONG
• Format: Article
• Language: English
• Published: Elsevier 2017-12-01
• Series: Journal of Integrative Agriculture
• Subjects: digital soil mapping; soil-landscape model; predictive models; soil functions; spatial variation
• Online Access: http://www.sciencedirect.com/science/article/pii/S2095311917617623

To deal with the global and regional issues including food security, climate change, land degradation, biodiversity loss, water resource management, and ecosystem health, detailed accurate spatial soil information is urgently needed. This drives the worldwide development of digital soil mapping. In recent years, significant progresses have been made in different aspects of digital soil mapping. The main purpose of this paper is to provide a review for the major progresses of digital soil mapping in the last decade. First, we briefly described the rise of digital soil mapping and outlined important milestones and their influence, and main paradigms in digital soil mapping. Then, we reviewed the progresses in legacy soil data, environmental covariates, soil sampling, predictive models and the applications of digital soil mapping products. Finally, we summarized the main trends and future prospect as revealed by studies up to now. We concluded that although the digital soil mapping is now moving towards mature to meet various demands of soil information, challenges including new theories, methodologies and applications of digital soil mapping, especially for highly heterogeneous and human-affected environments, still exist and need to be addressed in the future.