Bambang Trisakti, Udhi Catur Nugroho, Ani Zubaidah


During the last two decades, forest and land fire is a catastrophic event that happens almost every year in Indonesia.  Therefore, it is necessary to develop a technic to monitor forest fires using satellite data to obtain the latest information of burned area in a large scale area. The objective of this research is to develop a method for burned area mapping that happened between two Landsat 8 data recording on August 13rd and September 14th 2015. Burned area was defined as a burned area of vegetation. The hotspot distribution during the period August - September 2015 was used to help visual identification of burned area on the Landsat image and to verify the burned area resulted from this research. Samples were taken at several land covers to determine the spectral pattern differences among burned area, bare area and other land covers, and then the analysis was performed to determine the suitable spectral bands or indices and threshold values that will be used in the model. Landsat recorded on August 13rd before the fire was extracted for soil, while Landsat recorded on September 14th after the fire was extracted for burned area. Multi-temporal analysis was done to get the burned area occurring during the certain period. The results showed that the clouds could be separated using combination of ocean blue and cirrus bands, the burned area was extracted using a combination of NIR and SWIR band, while soil was extracted using ratio SWIR / NIR. Burned area obtained in this study had high correlation with the hotspot density of MODIS with the accuracy was around 82,4 %.


burned area; Landsat 8; bare area; hotspot distribution

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Bastarrika A., Chuvieco E., Martin MP, (2011), Mapping Burned Areas from Landsat TM/ETM+ Data with a Two-Phase Algorithm: Balancing Omission and Commission Errors. Remote Sensing of Environment 115 (211): 1003-1012.

Chavez LLB, Kasischke ES, Brunzell S., Mudd JP, (2002), Mapping Rire Scars in Global Boreal Forests Using Imaging Radar Data. Int.J.Remote Sensing 23 (20): 4211–4234.

Handayani T., Santoso AJ, Dwiandiyanta Y., (2014), Pemanfaatan Data Terra MODIS untuk Identifikasi Titik Api pada Kebakaran Hutan Gambut (Studi Kasus Kota Dumai Provinsi Riau), Seminar Nasional Teknologi Informasi dan Komunikasi 2014, Yogyakarta (In Indonesian).

Nakayama M., Siegert F., (2001), Comparative Study on C and L Band SAR for Fire Scar Monitoring, The 22nd Asian Conference on Remote Sensing, 5-9 November 2001, Singapore.

Pacheco CE, Aguado MI, Mollicone D., (2014), Identification and characterization of deforestation hot spots in Venezuela using MODIS satellite images, Acta Amaz., 44 (2) Manaus, June 2014.

Polychronaki A., Gitas LZ, Veraverbeke S., Debien A., (2013), Evaluation of ALOS PALSAR Imagery for Burned Area Mapping in Greece Using Object-Based Classification. Remote Sens. 5(11): 5680-5701.

Rashid F., (2014), Permasalahan dan Dampak Kebakaran Hutan. Widyaiswara Network Journal 1 (4): 47 – 59.

Ruecker G., Siegert F., (2000), Burn Scar Mapping and Fire Damage Assessment Using ERS-2 SAR Images in East Kalimantan Indonesia. International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000.

Sedano F., Kempeneers P., Strobl P., McInerney D., Miguel JS, (2012), Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe. Remote Sens. 4(3): 726-744. doi: 10.3390/ rs4030726.

Suwarsono, Rokhmatulloh, Waryono T., (2012), Model Development of Burned Area Identification Using MODIS imagery in Kalimantan. Jurnal Penginderaan Jauh 10(2): 93-112 (In Indonesian).

Suwarsono, Yulianto F., Parwati, Suprapto T., (2009), Pemanfaatan Data MODIS untuk Identifikasi Daerah Bekas Terbakar (Burned Area) Berdasarkan Perubahan Nilai NDVI di Provinsi Kalimantan Tengah Tahun 2009. Jurnal Penginderaan Jauh 6(2009): 54-64.


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