AKURASI LUAS AREAL KEBAKARAN DARI DATA LANDSAT-8 OLI DI WILAYAH KALIMANTAN
Authors: Zubaidah Any , Sulma Sayidah , Suwarsono Suwarsono , Vetrita Yeni , Priyatna M. , Ayu Kusumaning 
Published: November 2017

<p align="center"><strong><em>ABSTRAK</em></strong><strong><em></em></strong></p><p align="center"><strong><em> </em></strong></p><p class="abstrak">Informasi luas area kebakaran sangat diperlukan <span lang="IN">sebagai</span>salah satu pendekatan untuk pe<span lang="IN">ng</span>hitungan emisi gas rumah kaca. Data Landsat merupakan salah satu jenis citra penginderaan jauh optis resolusi menengah yang banyak dipergunakan untuk memetakan luas dan sebaran areal kebakaran. Tujuan penelitian adalah melakukan <span lang="X-NONE">verifikasi</span>hasil deteksi lahan bekas kebakaran <span lang="X-NONE">hutan/lahan</span>guna<span lang="X-NONE"> tersedianya hasil verifikasi <em>burned area</em> (BA) dari data Landsat-8 untuk dukungan penyusunan pedoman</span><span lang="X-NONE"> identifikasi BA</span>. <span lang="X-NONE">Pada penelitian ini dilakukan analisis </span><span lang="IN">verifikasi</span><span lang="X-NONE">lahan bekas kebakaran yang diperoleh dari data satelit Landsat-8 sensor </span>Operational Land Imager (<span lang="X-NONE">OLI</span>) menggunakan<span lang="X-NONE"> metode <em>Normalized Burn Area</em> (NBR). Data referensi yang digunakan dalam proses </span><span lang="IN">verifikasi</span><span lang="X-NONE"> adalah data lahan bekas kebakaran </span>yang didelineasi <span lang="X-NONE">dari </span>citra <span lang="X-NONE">SPOT-5</span>. Citra ini memiliki resolusi spasial lebih tinggi dibandingkan dengan Landsat-8 OLI. H<span lang="X-NONE">asil penelitian </span>menunjukkan <span lang="X-NONE">bahwa </span>tingkat akurasi <em>Burned Area</em> <span lang="X-NONE">BA Landsat-8 OLI </span>dengan metode <span lang="X-NONE">∆NBR memiliki nilai akurasi </span><span lang="X-NONE">(</span><em><span lang="IN">o</span><span lang="X-NONE">verall </span></em><em><span lang="IN">a</span><span lang="X-NONE">ccuracy</span></em><span lang="X-NONE">) sebesar 87%, dengan </span><em><span lang="EN-ID">c</span><span lang="X-NONE">ommision error</span></em><span lang="X-NONE"> sebesar 2%, dan </span><em><span lang="EN-ID">o</span><span lang="X-NONE">mmision error</span></em><span lang="X-NONE"> sebesar 11%. </span><span lang="X-NONE">Tingkat akurasi </span><em><span lang="EN-ID">b</span></em><em><span lang="X-NONE">urned area</span></em><span lang="X-NONE"> (BA) hasil estimasi dari data Landsat-8 dengan menggunakan metode ∆NBR memiliki nilai koefisien korelasi (r) 0</span><span lang="IN">,</span><span lang="X-NONE">98 dengan persamaan Y = 0</span><span lang="IN">,</span><span lang="X-NONE">928X – 21</span><span lang="IN">,</span><span lang="X-NONE">07</span><span lang="X-NONE">dan koefisien determinasi (R<sup>2</sup>)=0</span><span lang="IN">,</span><span lang="X-NONE">96. Hasil ini menunjukkan bahwa sebesar 96% </span>wilayah yang diklasifikasikan atau diestimasi sebagai wilayah yang terbakar adalah benar sebagai wilayah yang terbakar. Dengan demikian dapat disimpulkan bahwa metode ∆NBR<span lang="X-NONE"> yang diaplikasikan pada </span>data Landsat-8 <span lang="X-NONE">terbukti dapat digunakan untuk mendeteksi </span><em>burned area</em>.</p><p class="katakunci"><strong><span lang="AF">Kata Kunci</span></strong><span lang="AF">: areal kebakaran, </span><span lang="IN">L</span><span lang="AF">andsat-8, </span><span lang="AF">Normalized Burn Area</span><span lang="AF"> (NBR)</span></p><p align="center"><em> </em></p><p align="center"><em>ABSTRACT</em></p><p align="center"><em> </em></p><p class="Abstrakeng"><em><span lang="X-NONE">Information of </span>burned area<span lang="X-NONE"> is needed </span><span lang="IN">as</span><span lang="X-NONE">one </span><span lang="IN">among</span><span lang="X-NONE"> approaches </span><span lang="IN">on</span><span lang="X-NONE">the calculation of greenhouse gas emissions. Landsat is one of the main types of remote sensing imager</span><span lang="IN">ies</span><span lang="IN">frequently</span><span lang="X-NONE"> used to map the distribution of </span>burned area.<span lang="X-NONE">The purpose of this research is to </span><span lang="IN">verify the result </span><span lang="X-NONE">of </span><span lang="IN">burned area (</span><span lang="X-NONE">BA</span><span lang="IN">)</span><span lang="X-NONE">analysis obtained from Landsat-8 satellite data </span><span lang="IN">acquired </span><span lang="X-NONE">with </span>Operational Land Imager (<span lang="X-NONE">OLI</span>)<span lang="X-NONE"> sensor</span><span lang="IN">. </span>The results of verification burned area of the Landsat-8 to support the preparation of guidelines for the identification of BA. <span lang="IN">The BA analysis</span><span lang="IN">used</span><span lang="X-NONE"> Normalized Burn Area (NBR) method. </span>The verification process used <span lang="IN">a </span>manually digitized <span lang="X-NONE">SPOT-5 </span>image as the reference data, since it has higher spatial resolution than Landsat-8 OLI. <span lang="IN">T</span><span lang="X-NONE">he results of this study </span><span lang="IN">shows</span><span lang="X-NONE">that BA Landsat-8 OLI using ΔNBR have accuracy values (Overall Accuracy) by 87%, with the </span><span lang="EN-ID">c</span><span lang="X-NONE">ommission error by 2%, and </span><span lang="EN-ID">o</span><span lang="X-NONE">mmision error by 11%. The accuracy of BA which </span><span lang="IN">was </span><span lang="X-NONE">estimated from Landsat-8 using ΔNBR ha</span><span lang="IN">s</span><span lang="X-NONE">a correlation coefficient (r) </span><span lang="IN">of</span><span lang="X-NONE">0.98 with the equation Y = 0.928X – 21.07 and the coefficient of determination (R2) = 0.96</span>. <span lang="EN">These results indicate that 96% area classified or estimated as the burned area was real burned area. Thus, it can be concluded that the method ΔNBR applied on Landsat-8 proved it can be used to detect the burned area.</span></em></p><p class="katakunci"><strong><span lang="AF">Keywords</span></strong><span lang="AF">: burned area, </span><span lang="IN">L</span><span lang="AF">andsat-8, Normalized Burn Area (NBR)</span></p>