[1]LI Yanhua,DING Jianli,SUN Yongmeng,et al.Remote Sensing Monitoring Models of Soil Salinization Based on the Three Dimensional Feature Space of MSAVI-WI-SI[J].Research of Soil and Water Conservation,2015,22(04):117-121,116.
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Remote Sensing Monitoring Models of Soil Salinization Based on the Three Dimensional Feature Space of MSAVI-WI-SI
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
22
Number of periods:
2015 04
Page number:
117-121,116
Column:
Public date:
2015-08-28
- Title:
- Remote Sensing Monitoring Models of Soil Salinization Based on the Three Dimensional Feature Space of MSAVI-WI-SI
- CLC:
- S153.5
- DOI:
- -
- Abstract:
- Monitoring of soil salinization is very important in the arid and semiarid regions. We chose the delta oasis located between the Weigan River and the Kuqa River as the study area. By analyzing the relationship among modified soil-adjusted vegetation(MSAVI), wet index(WI), salinity index(SI) and soil samples, we proposed a concept of MSAVI-WI-SI three dimensional feature space and built a soil salinity monitoring index(MWSI) model. The result indicates that there is a strong correlation between MWSI and surface soil salinity(R=0.896). Monitoring soil salinization with MWSI is more precise than MWI, MSI, WSI based on two dimensional feature space. The correlation coefficients were 0.891, 0.894, 0.809, respectively. Meanwhile, by MWSI difference matrix analysis, the index is sensitive to the level of soil salinization. It suggests that MWSI detect the change of different combination of the vegetation, soil moisture and soil salinity better in the study area. Besides, this index has the clear biophysical meaning. The MWSI has the potential to provide a simple and low-cost monitoring tool for assessment of salt-affected areas.
- References:
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