Variograms of ancillary data to aid sampling for soil surveys

被引:79
作者
Ruth Kerry
Margaret A. Oliver
机构
[1] Department of Soil Science, University of Reading, Reading
关键词
Aerial photographs; Electrical conductivity; Soil sampling; Variogram; Yield data;
D O I
10.1023/A:1024952406744
中图分类号
学科分类号
摘要
To provide reliable estimates for mapping soil properties for precision agriculture requires intensive sampling and costly laboratory analyses. If the spatial structure of ancillary data, such as yield, digital information from aerial photographs, and soil electrical conductivity (EC) measurements, relates to that of soil properties they could be used to guide the sampling intensity for soil surveys. Variograms of permanent soil properties at two study sites on different parent materials were compared with each other and with those for ancillary data. The ranges of spatial dependence identified by the variograms of both sets of properties are of similar orders of magnitude for each study site. Maps of the ancillary data appear to show similar patterns of variation and these seem to relate to those of the permanent properties of the soil. Correlation analysis has confirmed these relations. Maps of kriged estimates from sub-sampled data and the original variograms showed that the main patterns of variation were preserved when a sampling interval of less than half the average variogram range of ancillary data was used. Digital data from aerial photographs for different years and EC appear to show a more consistent relation with the soil properties than does yield. Aerial photographs, in particular those of bare soil, seem to be the most useful ancillary data and they are often cheaper to obtain than yield and EC data.
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页码:261 / 278
页数:17
相关论文
共 17 条
[1]  
Blackmer T.M., Schepers J.S., Meyer G.E., Remote sensing to detect nitrogen deficiency in corn, Proceedings of Site-Specific Management for Agricultural Systems. Second International Conference, pp. 505-512, (1995)
[2]  
Bourgault G., Marcotte D., Multivariable variogram and its application to the linear model of coregionalization, Mathematical Geology, 23, pp. 899-928, (1991)
[3]  
Dawson C.J., Johnston A.E., Aspects of soil fertility in the interpretation of yield maps as an aid to precision fanning, Precision Agriculture '97. Proceedings of the 1st European Conference on Precision Agriculture, pp. 87-94, (1997)
[4]  
Fordham S.J., Soils of Crowmarsh Battle Farms, (1985)
[5]  
Frogbrook Z.L., The effect of sampling intensity on the reliability of predictions and maps of soil properties, Precision Agriculture '99. Proceedings of the 2nd European Conference on Precision Agriculture, pp. 71-80, (1999)
[6]  
Frogbrook Z.L., Oliver M.A., The effect of sampling on the accuracy of predictions of soil properties for precision agriculture, Accuracy 2000. Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences in Amsterdam, pp. 225-232, (2000)
[7]  
Heming S., Soil Survey and Soil Data Base of Part of Westridge Farm and Mapletons Farm for Yattendon Estates, (1997)
[8]  
Hodgson J.M., Soil Survey Field Handbook. Technical Monograph No. 5, 5, (1974)
[9]  
Jensen J.R., Introductory Digital Image Processing. A Remote Sensing Perspective, (1996)
[10]  
Johnston A.E., Barraclough P.B., Poulton P.R., Dawson C.J., Assessment of Some Spatially Variable Soil Factors Limiting Crop Yields, (1998)