DocumentCode :
2218892
Title :
Discrimination soil salinization distribution in the middle region of Heihe River basin using TM data
Author :
Wu, Yueru ; Han, Xujun ; Wang, Weizhen
Author_Institution :
Cold & Arid Regions Environ. & Eng. Inst., Lanzhou, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
4225
Lastpage :
4228
Abstract :
A preliminary study has been conducted to test the effectiveness of the stepwise canonical discriminant approach to making spatial discrimination of salt-affected soil surfaces, using the Landsat TM data taken in the middle reaches of the Heihe River, China. We regard a saline area as being composed of salt-affected patches differ in degree and try to make discrimination of salt-affected soil surfaces by stepwise canonical discriminant approach. Five indices (B4, Wetness, SI, NDSI, Fe2O3) were selected as discriminating variables, and two canonical discriminant functions (y1, y2) were determined for the three groups using these five discriminating variables. When group centroids and individual cases were plotted on the plane determined by two canonical discriminant functions y1 and y2, the groups were quite distinct and their centroids were well separated. These results suggest that the stepwise canonical discriminant approach is promising for spatial discrimination of salt-affected soil surfaces.
Keywords :
geochemistry; rivers; soil; China; Heihe river basin; Landsat TM data; canonical discriminant functions; saline area; salt-affected patches; salt-affected soil surfaces; soil salinization distribution; stepwise canonical discriminant approach; Earth; Indexes; Remote sensing; Rivers; Satellites; Silicon; Soil; Heihe River; Landsat TM data; Soil salinization; Stepwise Canonical discriminant approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351736
Filename :
6351736
Link To Document :
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