A DIGITAL IMAGE METHOD FOR ANALYSIS OF SOIL PORES
文献类型：会议论文
| 作者 | Jiang S. F. ; Kang Y. H. ; Sun Z. Q. |
| 出版日期 | 2009 |
| 会议名称 | International Federation for Information Processing |
| 关键词 | digital image method image threshold soil pore distribution soil porosity thin-sections tillage crusts |
| 页码 | 1029-1038 |
| 英文摘要 | Measurements of porosity and pore size distribution provide important data on the physical properties of soils. This paper presents a digital image method for the analysis of soil pores. In the analysis of soil thin sections, the image threshold separating pore space from the surrounding solid, as well as the capillary pore size threshold separating air pores and capillary pores, was obtained by analysis of the thin sections of calibration samples where values of total porosity and capillary porosity were pre-determined by traditional soil physics methods (IM). The total porosity and capillary porosity, as well as percentages of pores of a particular size, of all samples of similar soil type can then be determined by these image thresholds in thin section image analysis. The maximum capillary pore size in soils can also be determined. Because the thresholds for the total porosity and capillary porosity are determined based on physical soil characteristics in this method, the error associated with existing methods (caused by subjective threshold estimates) was overcome. Small variations in results proved that this method has good accuracy and is acceptable. Any personal computer and flatbed scanner, along with any commercial remote sensing software (ENVI, PCI, ERDAS, etc.) and Geographic Information System software (ArcGIS, ArcView, SuperMap, etc.) are sufficient to complete the method. In addition, the method can also be used for analysis of pore shapes and arrangements. |
| 收录类别 | CPCI |
| 会议录出版者 | Springer |
| 语种 | 英语 |
| ISSN号 | 1571-5736 |
| ISBN号 | 978-1-4419-0210-8 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25147]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Jiang S. F.,Kang Y. H.,Sun Z. Q.. A DIGITAL IMAGE METHOD FOR ANALYSIS OF SOIL PORES[C]. 见:International Federation for Information Processing. |
入库方式： OAI收割
来源：地理科学与资源研究所
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