Abstract
These works present a model to integrate and harmonize different nutrient grading indexes originating from various existing soil polygon maps. The soil nutrient grading indexes might be different from one national soil survey to another and even be different for the different counties in the same national soil survey in China. Soil nutrients mapping in large regions, such as national or provincial regions, had to be done after the integration of those grading indexes. The hardcopy of the soil nutrient maps for most of the counties of China was collected and vectorized. These maps were mostly scaled at 1:50,000–1:500,000 and could be used as the input data for the integration of the grading index. Next, a model named Soil Nutrient grading system Integration Model (SNI-Model) was established using ARCGIS10.0 and was written in C#. The SNI-Model did not change or revise the properties of the spatial soil nutrient maps and saved the original grading index for every soil polygons. Also, it was designed in a two color systems for more easy reading. SNI-Model consisted of five modules and could be easily used to intelligent integrate the soil grading indexes for soil nutrient mapping. The SNI-Model is a general model and may also be applicable to the environment, ecology, and other research areas to resolve the similar problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao QG (1996) Modern soil science and sustainable development of agriculture. ACTA PEDOLOGICA SINICA 33(1):2-12
Xi Chengfan, Zhang Siyan (1994) Brief introduction on achievements in national soil survey project since 1979. ACTA PEDOLOGICA SINICA 31(3):330-335
Nyssen J, Temesgen H, Lemenih M, Zenebe A, Haregeweyn N (2008) Haile M. Spatial and temporal variation of soil organic carbon stocks in a lake retreat area of the Ethiopian Rift Valley. Geoderma 146(1-2):261–268
Sun B, Zhou SL, Zhao QG (2003) Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma. (1 - 2): 85 – 99
Yuan ZX, Wang Y (2013) Study on space-time change of arable layer soil nutrients in liangzhou district based on GIS. Gansu Agricultural Science and Technology, (4):28-30
National Soil Survey Office (1992) “Chinese soil survey technology.” Agriculture Press, Beijing
Régis Clouard, Arnaud Renouf, Marinette Revenu (2011) Human-computer interaction for the generation of image processing applicationsOriginal Research Article, International Journal of Human-Computer Studies, 69(4): 201-219
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Wu, S., Zhang, W., Xu, A., Lei, Q. (2016). Extraction and Integration of Different Soil Nutrient Grading Systems for Soil Nutrient Mapping. In: Zhang, GL., Brus, D., Liu, F., Song, XD., Lagacherie, P. (eds) Digital Soil Mapping Across Paradigms, Scales and Boundaries. Springer Environmental Science and Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-0415-5_29
Download citation
DOI: https://doi.org/10.1007/978-981-10-0415-5_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0414-8
Online ISBN: 978-981-10-0415-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)