DocumentCode :
315055
Title :
Spectral unmixing and mapping of surface features related to soil erosion
Author :
Metternicht, G.I. ; Fermont, A.
Author_Institution :
Sch. of Surveying & Land Inf., Curtin Univ. of Technol., Perth, WA, Australia
Volume :
1
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
95
Abstract :
Spectral mixture modelling was performed for identification and mapping of land degradation features related to soil erosion processes. End-members were characterised by using average pure pixel reflectance. The research has demonstrated that regional patterns of soil surface erosion features can be reliably mapped using linear spectral mixture analysis. Extrapolation of this approach to other regions where soil degradation features are correlated with spectrally distinguishable surface characteristics is feasible, provided an optimisation of the unmixing model as a function of local or regional surface component types is completed
Keywords :
erosion; geomorphology; geophysical techniques; pollution measurement; remote sensing; soil; arid zone; average pure pixel reflectance; degradation; desert region; end-members; geology; geomorphology; geophysical measurement technique; land surface; linear spectral mixture analysis; pollution; regional patterns; remote sensing; soil; soil erosion; spectral mixture modelling; spectral unmixing; surface feature; terrain mapping; Degradation; Pixel; Predictive models; Reflectivity; Remote sensing; Satellites; Soil; Surface reconstruction; Surface texture; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615808
Filename :
615808
Link To Document :
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