DBPapers
DOI: 10.5593/sgem2012/s08.v2002

COMPARISON OF SOIL PROPERTIES ESTIMATION FROM MULTI-RESOLUTION SATELLITE IMAGES

B. D. MARINOV, M. P. MONDESHKA
Wednesday 1 August 2012 by Libadmin2012

References: 12th International Multidisciplinary Scientific GeoConference, www.sgem.org, SGEM2012 Conference Proceedings/ ISSN 1314-2704, June 17-23, 2012, Vol. 2, 855 - 862 pp

ABSTRACT

Technology approach for supervised classification of multi-band satellite images is used
for analyses of soil degradation processes. It is based on the thematic soil mapping,
based on automatic image interpretation and segmentation, which is utilizing the
functionality of Remote sensing software system. Spatial resolutions of multiband
images are increased by usage of "pan-sharpening" method and enhanced images are
georeferenced and georectified. Training areas for supervised classification are created
from terrain samples with examined soil types. Spectral signatures of classes generated
in unsupervised and supervised modes are combined to obtain reliable classification by
maximum likelihood method. An improvement of classification is achieved trough
applying of estimation based on the chi-square method.
The thematic raster images and vector layers from satellite images with medium and
high resolution from Landsat 7 TM+, SPOT-5 and Kompsat-2 are compared and
analysed. The distribution of land cover classes is evaluated and soil types discovered
by image interpretation are compared with soil type properties. The obtained results
prove the applicability of the suggested soil mapping technology.
The produced digital soil maps are suitable for incorporation in GIS for the purposes of
the sustainable land management.

Keywords: Multiband Image Interpretation, Soil cover, Thematic mapping, Supervised
classification, Multi-Resolution Satellite Images