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You are here: Home / , Kajian Metode Deteksi Degradasi Hutan Menggunakan Citra Satelit Landsat [Paper]

Kajian Metode Deteksi Degradasi Hutan Menggunakan Citra Satelit Landsat [Paper]

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ABSTRACT
The study examined detection method of forest degradation using forest canopy density (FCD), maximum likelihood, fuzzy and belief dempster shafer classiftcation method. Accuracy evaluation of classiftcation and detection were based on overall accuracy which obtained from 51 ground sample plot. Canopy density, LAI, crown indicator, trees density and basal area (Lbds) were conducted  as fteld indicators. Accuracy of classiftcation among forest density (trees/Ha) with four classiftcation methods were FCD 61%, maximum likelihood 57%, fuzzy 51% and belief dempster shafer 49%. Based on temporal detection accuracy from 2003 until 2008, FCD had overall accuracy 68 %.  The result of research, FCD  is  the best method to detect of forest degradation.

Keywords:  detection method, forest degradation, Landsat.

ABSTRAK
Studi ini mengkaji metode deteksi degradasi hutan menggunakan metode klasifikasi forest canopy density(FCD), maximum likelihood, fuzzy, dan belief dempster shafer. Uji akurasi klasifikasi dan deteksi menggunakan overall accuracy yang didapatkan dari 51 sampel lapangan. Kerapatan kanopi, leaf area index (LAI), indikator tajuk, kerapatan pohon, dan luas bidang dasar (lbds) digunakan sebagai indikator degradasi di lapangan. Hasil uji akurasi klasifikasi antara hasil klasifikasi dengan kerapatan pohon adalah FCD 61%, maximum likelihood 57%, fuzzy  51%, dan belief dempster shafer 49%. Berdasarkan deteksi degradasi secara temporal dari tahun 2003 sampai 2008, FCD mempunyai akurasi 68 %. Hasil penelitian ini, FCD adalah metode terbaik untuk deteksi degradasi hutan.


Kata kunci: metode deteksi, degradasi hutan, Landsat.

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