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Recent progress and future prospect of digital soil mapping: A review 被引量:15

Recent progress and future prospect of digital soil mapping: A review
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摘要 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. 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.
出处 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2017年第12期2871-2885,共15页 农业科学学报(英文版)
基金 supported by the National Natural Science Foundation of China (91325301, 41571130051)
关键词 digital soil mapping soil-landscape model predictive models soil functions spatial variation digital soil mapping, soil-landscape model, predictive models, soil functions, spatial variation
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  • 1Dobos E, Micheli E, Baumgardener M F, Biehl L, Helr, T. Use of combined digital elevation model and satellite radiometric data for regional soil mapping[J]. Geoderma, 2000, 97:367 - 391.
  • 2Irvin B J, Ventura S J, et al. Fuzzy and isodatacleasification of landform elements from digital terrain data in Pleasant Valley,Wisconsin[J]. Geoderma, 1997,77:137-154.
  • 3Bruin S, Stein A. Soil - landscape modeling using fuzzy c-means clustering of attribute data derived from a Digital Elevation Model (DEM)[J]. Geoderma, 1998, 83:17 - 33.
  • 4Lark R M Soil - landform relationships at within - field scales: an investigation using continuous classification[J]. Geoderma, 1999,92:141165.
  • 5Odeh I O A, McBratney A B, Chittleborough D J. Spatial prediction of soil properties from landform attributes derived from a digital elevation model[J]. Geoderma, 1994, 63:197-214.
  • 6Odeh I O A, McBratney A B, Chittleborough D J. Further result on prediction of soil properties from terrain attributes: heterotropic cokriging and regression kriging[J]. Geoderma, 1994, 67:215-226.
  • 7Chaplot V, Walter C, Curmi P. Improving soil hydromorphy prediction according to DEM resolution and available pedological data[J]. Geoderma, 2000, 97:405-422.
  • 8Odeh I O A, McBratney A B. Using AVHRR images for spatial prediction of clay content in the lower Noami valley of eastern Australia[J]. Geoderma, 2000, 97:237-254.
  • 9Zhu A X and Mackay D S. Effect of soil landscape parameterization for watershed modeling[A]. In: 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4):Problems, Prospects and Research Needs[C]. Banff, 2000.
  • 10Ameskamp M. Three-dimensional rulebased continuous soil modelling. Ph. D. thesis. Institut fur Informatik und Praktische Mathematik, Universit? t Kiel. 1997.

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