Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China
As an important index reflecting the degree of soil salinization and alkalization, the proportion of saline-alkali patches (PSP) is beneficial for identifying the degree of saline-alkali land on a large scale with high spatial heterogeneity. However, determining the optimal scale for observing PSP r...
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| Format: | Article |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10438834/ |
| _version_ | 1797272678294355968 |
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| author | Yakun Cao Guanglei Hou Ziqi Chen Yanfei Gong Jinyuan Zhou Zhaoli Liu |
| author_facet | Yakun Cao Guanglei Hou Ziqi Chen Yanfei Gong Jinyuan Zhou Zhaoli Liu |
| author_sort | Yakun Cao |
| collection | DOAJ |
| description | As an important index reflecting the degree of soil salinization and alkalization, the proportion of saline-alkali patches (PSP) is beneficial for identifying the degree of saline-alkali land on a large scale with high spatial heterogeneity. However, determining the optimal scale for observing PSP remains inconclusive. In this article, we considered a typical area of saline-alkali land, which is located in Da'an City in Northeast China, as an example and selected nine sample areas from the sentinel-2A remote sensing images to calculate the salt index. According to the semivariogram function, we obtained the spatial autocorrelation range of the average radius of saline-alkali land. By combining the Nyquist-Shannon sampling theory, we determined the optimal scale for the remote sensing monitoring of saline-alkali land in Da'an City. The PSP index is calculated using this scale. The results were as follows: First, the optimal scale for the remote sensing monitoring of saline-alkali land in Da'an City is 41.2 m, and the calculated PSP index at this scale has the best correlation with the measured <italic>pH</italic> value data (<italic>R</italic><sup>2</sup> = 0.828). Second, Using the PSP index calculated at this scale, we divided the degree of saline-alkali land in Da'an City into three grades. Among them, the slightly, moderately, and severely saline-alkali lands cover areas of 90.52, 111.78, and 959.77 km2, respectively. In this article, we propose a new method for grading the degree of soil salinization and alkalization on land with high spatial heterogeneity, providing technical support for the utilization of saline-alkali land. |
| first_indexed | 2024-03-07T14:32:48Z |
| format | Article |
| id | doaj.art-3ef10080e9844578a3276d6552c84929 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-07T14:32:48Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-3ef10080e9844578a3276d6552c849292024-03-06T00:00:14ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352024-01-01175378538910.1109/JSTARS.2024.336677310438834Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast ChinaYakun Cao0https://orcid.org/0009-0002-6284-8085Guanglei Hou1https://orcid.org/0009-0008-0980-9726Ziqi Chen2https://orcid.org/0000-0002-2103-861XYanfei Gong3https://orcid.org/0009-0005-4978-9385Jinyuan Zhou4https://orcid.org/0009-0001-2205-0290Zhaoli Liu5https://orcid.org/0009-0006-7340-5342Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, ChinaJilin University, Changchun, ChinaChangchun Institute of Engineering, Changchun, ChinaJilin Agricultural University, Changchun, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, ChinaAs an important index reflecting the degree of soil salinization and alkalization, the proportion of saline-alkali patches (PSP) is beneficial for identifying the degree of saline-alkali land on a large scale with high spatial heterogeneity. However, determining the optimal scale for observing PSP remains inconclusive. In this article, we considered a typical area of saline-alkali land, which is located in Da'an City in Northeast China, as an example and selected nine sample areas from the sentinel-2A remote sensing images to calculate the salt index. According to the semivariogram function, we obtained the spatial autocorrelation range of the average radius of saline-alkali land. By combining the Nyquist-Shannon sampling theory, we determined the optimal scale for the remote sensing monitoring of saline-alkali land in Da'an City. The PSP index is calculated using this scale. The results were as follows: First, the optimal scale for the remote sensing monitoring of saline-alkali land in Da'an City is 41.2 m, and the calculated PSP index at this scale has the best correlation with the measured <italic>pH</italic> value data (<italic>R</italic><sup>2</sup> = 0.828). Second, Using the PSP index calculated at this scale, we divided the degree of saline-alkali land in Da'an City into three grades. Among them, the slightly, moderately, and severely saline-alkali lands cover areas of 90.52, 111.78, and 959.77 km2, respectively. In this article, we propose a new method for grading the degree of soil salinization and alkalization on land with high spatial heterogeneity, providing technical support for the utilization of saline-alkali land.https://ieeexplore.ieee.org/document/10438834/Grading and mappingoptimal scalesemivariogram functionsoda saline-alkali land in Northeast Chinathe proportion of saline-alkali patches (PSP) |
| spellingShingle | Yakun Cao Guanglei Hou Ziqi Chen Yanfei Gong Jinyuan Zhou Zhaoli Liu Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Grading and mapping optimal scale semivariogram function soda saline-alkali land in Northeast China the proportion of saline-alkali patches (PSP) |
| title | Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China |
| title_full | Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China |
| title_fullStr | Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China |
| title_full_unstemmed | Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China |
| title_short | Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China |
| title_sort | quantitative determination of the optimal scale for the proportion of saline alkali patches of soda saline alkali land in northeast china |
| topic | Grading and mapping optimal scale semivariogram function soda saline-alkali land in Northeast China the proportion of saline-alkali patches (PSP) |
| url | https://ieeexplore.ieee.org/document/10438834/ |
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