DocumentCode :
2881390
Title :
Spatial Variability of Soil Salinity for Tidal Flat by Geostatistics and 3S Technology
Author :
Xia Lu ; Fucheng Liu
Author_Institution :
Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Agriculture in tidal flat develops slow very much. One of the important reason is that the soil salinity is very higher. The region which covered typical salt marsh vegetation was chosen as subject investigated. The spatial variability of soil salinity by using geostatistics, RS, GPS, and GIS technology was analyzed. The research result was indicated that there was not distinguished data among all the soil salinity, the data which was converted to logarithm format would follow normal distribution. Therefore, stable variation function was got by ordinary Kriging interpolation method. The soil salinity was mainly subject to structural factors and had very strong spatial autocorrelation. It decreased gradually from north to south.
Keywords :
geochemistry; geographic information systems; remote sensing; soil; vegetation; GIS technology; GPS technology; RS technology; geostatistics; logarithm format; ordinary Kriging interpolation method; soil salinity; stable variation function; tidal flat; typical salt marsh vegetation; Agriculture; Biological system modeling; Correlation; Educational institutions; Gaussian distribution; Interpolation; Soil;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260729
Filename :
6260729
Link To Document :
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