Analisis Spektral Campuran Linier untuk Deteksi Tutupan Lahan di Daerah Perkotaan menggunakan Data Satelit Landsat ETM+ (Studi Kasus Kota Banjarbaru dan Sekitarnya)
Abstract: Evaluated from
remote sensing perspective, urban region is a realdistrict heterogeneous, what
gives reflectance from different some land covertype and material. The
limitation of the spatial resolution from middle resolutionsensor such as
Landsat requires analysis at level sub-pixel. Mixture pixel inremote sensing
data is one of the source of error in accuracy assessment result in
conventional classification. This research tries to apply Linear Spectral
MixtureAnalysis (LSMA) method to detect land cover change (vegetation,
impervious surface, bare soil and water) at level sub-pixel in Banjarbaru City
based on Landsat temporal data. LSMA is approach with analysis sub-pixel which
can giveinformation of the fraction in each pixel, so that is a potential
solution to classify one pixel. Maximum Likelihood Classifier applied as
comparable from LSMA. Accuracy assessment to this method use a higher spatial
resolution IKONOS image. Some processing phases applied in this research to
increase theaccuration, are Atmospheric Correction, Minimum Noise Fraction
(MNF) andPixel Purity Index (PPI). The percentage of each land cover component
in eachpixel shown by fraction image from method LSMA with RMS Error average is
0,016 indicated that each endmember land cover has been dissociated well withsmall
deviation standard. The accuration test result of abundance for eachendmember
using IKONOS image equal to 95%, indicates that LSMA have a high accuration to detect
the endmember land cover at level sub-pixel.
Penulis: Nurlina
Kode Jurnal: jpfisikadd090075
