ANALISIS CAMPURAN SPEKTRAL SECARA LINIER UNTUK KAJIAN PERUBAHAN PENUTUP LAHAN PADA TINGKAT SUBPIKSEL Kasus: Kota Tasikmalaya dan Sekitarnya Berdasarkan Citra Landsat Multitemporal Tahun 1994 dan 2003
Land cover in urban areas can be detected through terrestrial surveys or using high-resolution imagery. Although the precision was better but limited to the broad scope and scale generated. Therefore, the image of the medium spatial resolution is needed. However, the use of medium resolution imagery...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2014
|
| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/133315/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=73900 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Universitas Gadjah Mada |
| 總結: | Land cover in urban areas can be detected through terrestrial surveys or
using high-resolution imagery. Although the precision was better but limited to
the broad scope and scale generated. Therefore, the image of the medium spatial
resolution is needed. However, the use of medium resolution imagery such as
Landsat constrained by the presence of mixed pixels uncaused land cover in urban
areas tend to be diverse. Pixel mixture will be a source of error in the
multispectral classification process, so it takes the analysis to the cedar subpixels
that can be obtained through both Linear Spectral Mixture Analysis. One pixel in
the Landsat image in this study were separated into four endmember, ie
vegetation, impervious surface, open land, and water. The fourth endmember is
assumed to represent a linear combination of land cover found in urban areas in
the form of proportions in each pixel.
This study aims to assess the accuracy of methods are Linear Spectral
Mixture Analysis in detecting urban land cover and land cover change detection in
Tasikmalaya and surrounding areas from multitemporal Landsat imagery.
Accuracy test conducted in this study is divided into two stages, using field
measurement data and interviews for image analysis results in 1994, while the
accuracy of the test results of the analysis for the year 2003 using DigitalGlobe
imagery.
Linear Spectral Mixture Analysis in a greater percentage of land cover in
each pixel is indicated by the fraction of each endmember image and the image of
the RMS error. The results obtained show that the endmember can be separated
well, where the RMS error is 0.013 1994 with 94 accuracy rate, 44%, and the
RMS error is 0.021 2003 with 97.81% accuracy rate. Of land cover change
detection results Spectral Mixture Analysis in Linear Mixed able to demonstrate
the changes that occur at each image pixel measuring 30 x 30 meters through the
addition or penguranagan endmember proportions in each fraction. Land
vegetation cover reduced the extent of 0.81% of the total area, land cover and
broader permkaan watertight 0.63%, closing the open land expanded 33.23%,
reduced the extent of land cover 18.25% water. |
|---|