DocumentCode :
3398116
Title :
Stressed vegetation identification by SAR time series as an indicator of slope instability in Mississippi River levee segments
Author :
Hasan, Khaled ; Aanstoos, James V. ; Mahrooghy, Majid
Author_Institution :
Geosystems Res. Inst., Mississippi State Univ., Starkville, MS, USA
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Surface vegetation reflects various characteristics of the soil on which it grows. Vegetation type and growth rate differences were observed between recently cracked surfaces and stable soil on earthen levees along the lower Mississippi River. We attempted to directly characterize the levee surface beneath the vegetation cover using X-band synthetic aperture radar from TerraSAR-X. Due to its short wavelength, however, most of the backscatter is from the vegetation rather than the soil. Hence a time-series of the SAR imagery was made over the time when vegetation growth and biomass were at their lowest and the multi-temporal radar backscatter pattern was used to identify healthy and stressed vegetation growing over stable and unstable (subject to slump slides) levee segments. Field data showed that vegetation was most vigorous over healthy or repaired levee surfaces and poorest over areas with surface cracks. Three time series of the HH and VV and HH-VV images were made for 6 dates over a 7 month period. Correlation with field data and analysis revealed that imagery from October through February was most effective in identifying the target vegetation differences. In this time span the differences in vigor of the vegetation were greatest between healthy levee surfaces and those with cracks on them (which could lead to potential levee failures). The 3 time series were classified independently using field derived training polygons and the stressed vegetation class was extracted from it. More than 90% of the known slump slides were identified by the classification but a significant number of `false positives´ resulted.
Keywords :
cracks; failure (mechanical); remote sensing by radar; rivers; soil; synthetic aperture radar; time series; vegetation; HH time series; HH-VV images; Mississippi River levee segments; SAR imagery time-series; TerraSAR-X; VV time series; X-band synthetic aperture radar; cracked surfaces; earthen levees; false positive number classification; field data correlation; field derived training polygons; healthy levee surface; healthy vegetation; levee surface direct characterization; lower Mississippi River; multitemporal radar backscatter pattern; potential levee failures; repaired levee surface; short wavelength; slope instability indicator; slump slides; soil characteristics; stable soil; stressed vegetation class; stressed vegetation identification; surface cracks; surface vegetation; target vegetation difference identification; time span; unstable levee segment; vegetation backscatter; vegetation biomass; vegetation cover; vegetation growth rate; vegetation type; vegetation vigor differences; Accuracy; Backscatter; Levee; Soil; Synthetic aperture radar; Time series analysis; Vegetation mapping; TerraSAR-X time-series; levee; slump slide; stressed vegetation; synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR): Sensing for Control and Augmentation, 2013 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2013.6749307
Filename :
6749307
Link To Document :
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