SAR imagery analysis of vegetation in desert environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Orbital synthetic aperture radar (SAR) C-band data acquired by ERS-1/2 in vv-polarization and Radarsat in hh-polarization during the period from 1996 to 1999 were used to evaluate their combined information potential for classification of land cover in the arid environment of Kuwait. Individual SAR scenes were orthorectified using a digital elevation model (DEM) of Kuwait, radiometrically adjusted for incidence angle effects, and mosaics were generated for the whole country. Thirteen classes of the joint ERS-1/2 and Radarsat images were identified based on Bhattacharya distance and geospatial pattern. The high degree of correlation between the C-band radar backscatter observed by ERS and Radarsat made unambiguous classification of surface material difficult when using C-band data alone. However, the physical data collected at the ground verification sites were used to assign nominal categories to the radar clusters that resulted from unsupervised classification. This categorization or relabeling of the clusters then provided the basis both for the generation of thematic maps and for accuracy assessment. Backscatter is shown to be related to the percent cover by annual vegetation for ERS, while its influence appears to be somewhat less for Radarsat. Backscatter was observed to be positively related to the percent cover by perennial vegetation. Radar backscatter is more highly correlated with total vegetation volume for ERS than for Radarsat, and is probably a consequence of both the lower angle of incidence for ERS and its vv-polarization. In addition to vegetation cover, the C-band radar data were found to be related to surface roughness, percentage of coarse material in the surface layer, and moisture conditions.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages1209-1214
Number of pages6
Volume2
Publication statusPublished - 2011
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan, Province of China
Duration: Oct 3 2011Oct 7 2011

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan, Province of China
CityTapei
Period10/3/1110/7/11

Fingerprint

Synthetic aperture radar
Radar
Polarization
Moisture
Surface roughness

Keywords

  • Arid environment
  • C-band
  • ERS
  • Kuwait
  • Radarsat
  • Vegetation cover

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Kwarteng, A. Y. (2011). SAR imagery analysis of vegetation in desert environment. In 32nd Asian Conference on Remote Sensing 2011, ACRS 2011 (Vol. 2, pp. 1209-1214)

SAR imagery analysis of vegetation in desert environment. / Kwarteng, Andy Yaw.

32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol. 2 2011. p. 1209-1214.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwarteng, AY 2011, SAR imagery analysis of vegetation in desert environment. in 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. vol. 2, pp. 1209-1214, 32nd Asian Conference on Remote Sensing 2011, ACRS 2011, Tapei, Taiwan, Province of China, 10/3/11.
Kwarteng AY. SAR imagery analysis of vegetation in desert environment. In 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol. 2. 2011. p. 1209-1214
Kwarteng, Andy Yaw. / SAR imagery analysis of vegetation in desert environment. 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol. 2 2011. pp. 1209-1214
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