Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China.
College of Life Science, Henan Normal University, Xinxiang 453007, China.
Int J Environ Res Public Health. 2022 May 27;19(11):6556. doi: 10.3390/ijerph19116556.
Desiccation cracking during water evaporation is a common phenomenon in soda saline-alkali soils and is mainly determined by soil salinity. Therefore, quantitative measurement of the surface cracking status of soda saline-alkali soils is highly significant in different applications. Texture features can help to determine the mechanical properties of soda saline-alkali soils, thus improving the understanding of the mechanism of desiccation cracking in saline-alkali soils. This study aims to provide a new standard describing the surface cracking conditions of soda saline-alkali soil on the basis of gray-level co-occurrence matrix (GLCM) texture analysis and to quantitatively study the responses of GLCM texture features to soil salinity. To achieve this, images of 200 field soil samples with different surface cracks were processed and calculated for GLCMs under different parameters, including directions, gray levels, and step sizes. Subsequently, correlation analysis was then conducted between texture features and electrical conductivity (EC) values. The results indicated that direction had little effect on the GLCM texture features, and that four selected texture features, contrast (CON), angular second moment (ASM), entropy (ENT), and homogeneity (HOM), were the most correlated with EC under a gray level of 2 and step size of 1 pixel. The results also showed that logarithmic models can be used to accurately describe the relationships between EC values and GLCM texture features of soda saline-alkali soils in the Songnen Plain of China, with calibration R ranging from 0.88 to 0.92, and RMSE from 2.12 × 10 to 9.68 × 10, respectively. This study can therefore enhance the understanding of desiccation cracking of salt-affected soil to a certain extent and can also help to improve the detection accuracy of soil salinity.
干燥开裂是苏打盐碱土在蒸发水分过程中的一种常见现象,主要取决于土壤盐分。因此,定量测量苏打盐碱土的表面开裂状态在不同应用中具有重要意义。纹理特征有助于确定苏打盐碱土的力学性质,从而加深对盐碱土干燥开裂机制的理解。本研究旨在基于灰度共生矩阵(GLCM)纹理分析,为描述苏打盐碱土表面开裂条件提供新标准,并定量研究 GLCM 纹理特征对土壤盐分的响应。为此,对 200 个具有不同表面裂缝的野外土壤样本的图像进行了处理和计算,以获得不同参数(包括方向、灰度级和步长)下的 GLCM。随后,对纹理特征与电导率(EC)值进行了相关性分析。结果表明,方向对 GLCM 纹理特征影响不大,在灰度级为 2、步长为 1 像素的情况下,对比度(CON)、角二阶矩(ASM)、熵(ENT)和同质性(HOM)这四个选定的纹理特征与 EC 值的相关性最强。结果还表明,对数模型可用于准确描述中国松嫩平原苏打盐碱土 EC 值与 GLCM 纹理特征之间的关系,校准 R 值范围为 0.88 至 0.92,RMSE 值范围为 2.12×10 至 9.68×10。因此,本研究在一定程度上可以增强对盐渍土干燥开裂的理解,同时也有助于提高土壤盐分检测精度。