Herwanda, Agita Setya (2016) Analisis Akurasi Citra Modis Dan Citra Landsat 8 Menggunakan Algoritma Normalized Burn Ratio Untuk Pemetaan Area Terbakar (Studi Kasus : Provinsi Riau). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kebakaran hutan dan lahan telah menjadi ancaman yang
cukup serius bagi masyarakat secara global pada satu dekade
terkahir, hal ini berkaitan erat dengan rusaknya lingkungan dan
sumber daya alam yang ada di dunia terutama pada Negara
tropis yang memiliki banyak hutan seperti Indonesia. Provinsi
Riau merupakan salah satu dari delapan provinsi yang
dinyatakan rawan terhadap bencana kebakaran hutan.
Dalam penelitian ini akan dilakukan pengolahan citra
satelit dengan resolusi spasial yang berbeda dan menggunakan
metode yang sama untuk mendapatkan hasil yang sama yaitu
area terbakar. Citra yang digunakan adalah citra landsat 8
dengan resolusi spasial 30 m dan citra MODIS dengan resolusi
spasial 250 m menggunakan metode NBR (Normalized Burned
Ratio). Dengan membandingkan kedua data yang berbeda
tersebut maka dapat ditentukan penilaian akurasi dari kedua
citra yang memiliki resolusi berbeda. Penilaian akurasi yang
akan dicapai adalah luasan burned area agreement, related
comission error, related omission error, independent comission
error dan independent omission error. Hasil dari penelitian ini menunjukkan area terbakar hasil
klasifikasi citra landsat 8 30 meter seluas 125.923,790 Hektar
dan hasil klasifikasi citra modis 250 meter seluas 171.045,154
Hektar. Sedangkan hasil dari analisis akurasi didapatkan hasil
luas burned area agreement 40.200,882 Hektar, related
comission error 94.633,149 Hektar, related omission error
44.744,897 Hektar, independent comission error 23.165,602
Hektar, dan independent ommission error 21.766,780 Hektar.
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Forest fires have become a serious threat to society
globally in the last decade, it is closely related to the destruction
of the environment and natural resources that exist in the world,
especially in tropical countries like Indonesia have a lot of forest.
Riau Province is one of eight provinces were declared disaster
prone to forest fires.
In this research will be processing of satellite imagery
with different spatial resolution and uses the same method to get
the same results, the burned area. The imagery used is Landsat 8
imagery with a spatial resolution of 30 meters and MODIS
imagery with a spatial resolution of 250 meters using NBR
(Burned Normalized Ratio). By comparing two different data, it
can be specified accuracy assessment of both images that have
different resolutions. Assessment of accuracy to be achieved is the
extent of the burned area agreement, related comission error,
omission related error, independent comission independent error
and omission error.
the results of this study showed burned area classification
results Landsat 8 30 meters area of 125,923.790 hectares and MODIS image classification results of 250 meters area of
171,045.154 hectares. While the results of the analysis of the
accuracy of the results obtained burned areas agreement
40200.882 hectares, related commission errors 94633.149
hectares, related omission errors 44744.897 hectares,
independent comission error 23165.602 hectares, and
independent ommission error 21766.780 hectares
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSG 621.367 8 Her a |
| Uncontrolled Keywords: | Modis, Landsat 8, Normalized Burn Ratio |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 26 Feb 2020 04:41 |
| Last Modified: | 26 Feb 2020 04:41 |
| URI: | http://repository.its.ac.id/id/eprint/75194 |
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