DocumentCode :
255157
Title :
Analysis of the effects of salt content on soil spectral characteristics
Author :
Chuang Ma ; Guangrong Shen ; Yue´E Zhi ; Zijun Wang ; Zhe Wang
Author_Institution :
Res. Center for Low-Carbon Agric., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2014
fDate :
11-14 Aug. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The spectral reflectance features of saline soils changing with salt content and the concentrations of salt ions were studied based on microbial remediation process for the salinized soil. In response to the variations of soil salt content during the remediation process, the spectral response range of salt ions and associated inversion models were analyzed and constructed by adjusting sampling intervals. The results showed there were a positive correlation between the degree of salinity of soil including the salt content of soils and the concentrations of ions contained in salts and the corresponding spectral reflectance of soils although the sensitivity levels varied with different salt ions. The sensitive spectral band of salt content, the concentrations of Mg2+, Cl- and Na+ was respectively 1447-1608nm, 1350-1461nm, 1336-1461nm and 1471-1561nm, and all R2 of their associated inversion models were greater than 0.86.
Keywords :
agriculture; contaminated site remediation; geographic information systems; geophysical techniques; microorganisms; salinity (geophysical); soil; associated inversion models; microbial remediation process; microorganisms; saline soils; salt content effect analysis; salt ion concentrations; sampling intervals; sensitive spectral band; sensitivity levels; soil salt content variations; soil spectral characteristics; spectral reflectance features; wavelength 1350 nm to 1461 nm; wavelength 1447 nm to 1608 nm; Correlation; Ions; Market research; Microorganisms; Reflectivity; Soil; Soil measurements; inversion model; saline soil; soil remediation; spectral reflectance feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2014.6910604
Filename :
6910604
Link To Document :
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