Effect of spatio-temporal change of land use on soil salinization in the Yellow River Delta

2018 ◽  
Vol 122 ◽  
pp. 158-164 ◽  
Author(s):  
Fu-Qiang Qin ◽  
Li-Fang Wang
Author(s):  
G. Q. An

Takes the Yellow River Delta as an example, this paper studies the characteristics of remote sensing imagery with dominant ecological functional land use types, compares the advantages and disadvantages of different image in interpreting ecological land use, and uses research results to analyse the changing trend of ecological land in the study area in the past 30 years. The main methods include multi-period, different sensor images and different seasonal spectral curves, vegetation index, GIS and data analysis methods. The results show that the main ecological land in the Yellow River Delta included coastal beaches, saline-alkaline lands, and water bodies. These lands have relatively distinct spectral and texture features. The spectral features along the beach show characteristics of absorption in the green band and reflection in the red band. This feature is less affected by the acquisition year, season, and sensor type. Saline-alkali land due to the influence of some saline-alkaline-tolerant plants such as alkali tent, Tamarix and other vegetation, the spectral characteristics have a certain seasonal changes, winter and spring NDVI index is less than the summer and autumn vegetation index. The spectral characteristics of a water body generally decrease rapidly with increasing wavelength, and the reflectance in the red band increases with increasing sediment concentration. In conclusion, according to the spectral characteristics and image texture features of the ecological land in the Yellow River Delta, the accuracy of image interpretation of such ecological land can be improved.


2015 ◽  
Vol 35 (15) ◽  
Author(s):  
刘艳丽 LIU Yanli ◽  
李成亮 LI Chengliang ◽  
高明秀 GAO Mingxiu ◽  
张民 ZHANG Min ◽  
赵庚星 ZHAO Gengxing

2018 ◽  
Author(s):  
Hongyan Chen ◽  
Gengxing Zhao ◽  
Yuhuan Li ◽  
Danyang Wang ◽  
Ying Ma

Abstract. Monitoring seasonal dynamics of soil salinization is necessary with distinct seasonal climates. The article is to explore the optimal inversion models of soil salinity content (SSC) in different seasons and to achieve the spatial distribution and seasonal dynamics of SSC in Kenli district in the Yellow River Delta (YRD) region of China. Based on the Landsat data in 2013, the improved vegetation indices (IVI) were constucted, which were then applied in the SSC inversion model construction. Finally, the SSC optimal model in each season was extracted, then, the spatial distributions and seasonal dynamics of SSC in four seasons were analysed. The results indicated that the support vector machine (SVM) method resulted in the best inversion models. The SSC best inversion model of spring was also determined as the optimal model of winter, similarly, the best model of autumn was also as the optimal model of summer. The SSC exhibited a gradually increasing trend from the south-west to the north-east in Kenli district, and its seasonal dynamics were as that soil salinity accumulates in spring, decreases in summer, rises in autumn, and peaks in winter. This work would provide data support for the treatment and utilization of saline alkali soil in the YRD region.


Sign in / Sign up

Export Citation Format

Share Document