期刊
ENVIRONMENTAL EARTH SCIENCES
卷 78, 期 10, 页码 -出版社
SPRINGER
DOI: 10.1007/s12665-019-8319-8
关键词
Soil salinization; MSAVI-SI; Feature space; Yellow River Delta; Landsat
资金
- National Key R&D Program of China [2017YFA0604804]
- Natural Science Foundation of Shandong Province [ZR2018BD001]
- Project of Shandong Province Higher Educational Science and Technology Program [J18KA181]
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University [KLGIS2017A02]
- State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University [17I04]
- Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation [2016NGCM02]
- Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University) [2017 (B) 003]
Considering the surface eco-environmental landscape of the Yellow River Delta, two different models based on Modified Soil-Adjusted Vegetation Index-Salinized Index (MSAVI-SI) feature spaces have been proposed, and then, comparisons and analyses among the above two models have been conducted to find and recommend the optimal monitoring model of soil salinization for the Yellow River Delta. Results showed that: (1) the MSAVI-SI feature space model considering the soil line had greater efficiency and applicability for monitoring salinized soil in the Yellow River Delta with R-2=0.8975 and an overall precision of 86.7% validation of salinization classification; (2) the soil salinization was widely and discontinuously distributed over the whole region. During 1987-2016, soil salinization had improved with an increased area of slight salinization and a decreased area of severe and moderate salinization; (3) the relationship between salinization detection indices (SDI2) and organic content differed with increasing organic content. There was a positive relationship between SDI2 and organic content with the organic content (OC)<0.8%, while relationship was negative with the OC>0.8%. These results can be helpful for the dynamic and periodical monitoring of soil salinity, and provide a scientific basis for properly managing soil and water resource in the Yellow River Delta. In addition, the optimal MSAVI-SI feature space model (SDI2) can also be utilized to monitor the soil salinization of zones with similar environmental conditions to Yellow River Delta with monsoon climate and wetland ecosystem.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据