| Summary: | Remote sensing can be used for identification, inventory and mapping iron
oxide content, however the utilization of this technology is still lacking and needs
to be examined. The aim of this research is to assess the multispectral medium
resolution image, which are Landsat TM and ALOS AVNIR-2 for estimating iron
oxide content, to assess the influence of different spatial and spectral resolution
characteristics between those imageries as well as the effectiveness and accuracy
of input empirical models, using original bands, band arithmetic and PC band
from the remote sensing image. This study took place at part of Gunung Sewu
Karst Topography, Gunung Kidul, Yogyakarta Province.
Application of digital image processing to multispectral medium resolution
imageries which combined Landsat TM and ALOS AVNIR-2images with field
survey can be used for estimating iron oxide content in part of Gunungsewu karst
topography, by employing original band, arithmetic band and PC band. The
results suggested that spectral resolution is more significant than spatial
resolution for estimating iron oxide content in Gunung Sewu karst topography.
Furthermore, aritmethic bands have the advantage in terms of accuracy
compared with the original band and PC band but the original band was the most
superior in terms of understanding concept and technical application, moreover
the accuracy of original band model is only slightly below the arithmetic band.
Original band of ALOS AVNIR-2 were able to obtain the accuracy at the level of
46.307 � 65.159%, original band of Landsat TM were able to obtain the accuracy
at the level of 48.167 � 64.633%, aritmethic band of ALOS AVNIR-2 were able to
obtain the accuracy at the level of 41.043 - 67.630 %, aritmethic band of Landsat
TM were able to obtain the accuracy at the level of 40.560 � 67.575 %, PC band
of ALOS AVNIR-2 were able to obtain the accuracy at the level of 48.737 �
66.221%, PC band of Landsat TM were able to obtain the accuracy at the level of
41.774 � 65.767 %.
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