Pemanfaatan Citra VIIRS untuk Deteksi Asap Kebakaran Hutan dan Lahan di Indonesia
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Accepted
8 July 2019
Published
5 December 2019
Abstract
The observation of smoke because of land and forest fires in some regions in Indonesia mostly use the composite image visually. This study aims to develop the detection model of forest and land fire smoke using a digital analysis, which will be faster in supporting spatial information on emergency response in monitoring forest and land fire smoke. The method used is multi-threshold method and compare it with the existing model that is by modification of method Li et al. (2015). The data used is Suomi NPP-VIIRS satellite imagery. The results concluded that the VIIRS image can be used to detect the smoke and smoke distribution of forest fire and digital smoke. The multi-threshold model uses reflectance data obtained from the M4 visible channel, and the brightness temperature data obtained from the LWIR VIIRS M14 channel, with an average accuracy of 82.2% with a Commision error of 9.8% and an Ommision error of 10%. While the model of modification Li is based only on reflectance of visible-channel data i.e. channel M1, M2, M3, and SWIR VIIRS M11 channel, which has an average accuracy of 72.3% with a Commision error of 0.3% and an Ommision error of 27.4%. The multi-threshold model is a model that has the potential to be applied to detect forest and land fire smoke.
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Wang WT, Qu JJ, Hao XJ, Liu YQ, Sommers WT. 2007. An improved algorithm for small and cool fire detection using modis data: A preliminary study in the southeastern United States. Remote Sens. Environ. 2007 (108): 163–170.
Xie Y, Qu JJ, Xiong X, Hao X, Che N, Sommers W. 2007. Smoke Plume Detection in The Eastern United States using MODIS. International Journal of Remote Sensing. 28(10): 2007.
Zhao TX, Ackerman S, Guo W. 2010. Dust and Smoke Detection for Multi-Channel Imagers. Remote Sensing. 2010 (2): 2347-2368. doi: 10.3390/rs2102347.
Zubaidah A, Sulma S, Prasasti I. 2017. Analisis Pola Spektral Asap Kebakaran Hutan dan Lahan dari Data Soumi NPP-VIIRS. Bandung: Prosiding SNSA.
Zubaidah A, Sulma S, Suwarsono, Vetrita Y, Priyatna M, Sukowati KAD. 2017. Akurasi Luas Areal Kebakaran Dari Data Landsat-8 OLI Wilayah Kalimantan. Majalah Ilmiah Globe. 19(1): 21-32.
Zubaidah A, Vetrita Y, Priyatna M. 2014. Pemanfaatan Data Penginderaan Jauh untuk Pemantauan Kebakaran Hutan/Lahan di Sumatera. Bunga Rampai Pemanfaatan Data Penginderaan Jauh untuk Pemantauan, Deteksi dan Kajian Lingkungan. Crestpent Press.
Baum BA dan Trepte QZ. 1999. A Grouped Threshold Approach for Scene Identification in AVHRR Imagery. Journal of Atmospheric and Oceanic Technology. 16(1999): 793-800.
Chung YS dan Kim HS. 2008. Satellite Monitoring of Forest Fires and Associated Smoke Plumes Occuring in Korea. Air Qual Atmos Health. 1(1): 111-118.
Chung YS dan Le HV. 1984. Detection of Forest-fire Smoke Plumes by Satellite Imagery. Atmospheric Environment. 18(10): 2143-2151.
Gao BC, Xiong XX, Li RR, Wang DY. 2007. Evaluation of the moderate resolution imaging spectrometer special 3.95-mu m fire channel and implications on fire channel selections for future satellite instruments. J. Appl. Remote Sens. 2007(1). doi:10.1117/1.2757715.
Gao RS, Schwarz JP, Kelly KK, Fahey DW, Watts LA, Thompson TL. 2007. A novel method for estimating light-scattering properties of soot aerosols using a modified single-particle soot photo-meter. Aerosol Sci. Technol. 41: 125.
Kaufman YJ, Remer LA. 1994. Detection of Forest Fire using MidIR Reflectance: and Application for Aerosols Study. IEEE Transactions on Geoscience and Remote Sensing. 32(3): 672-683.
Lee TE, Miller SD, Turk FJ, Schueler C, Julian R, Deyo S, Dills P, Wang S. 2006. The NPOESS VIIRS Day/Night Visible Sensor. Bulletin of The American Meteorological Society (BAMS). AMS100. [Journal Online] [Diunduh 2017 Agustus 3]. https://doi.org/10.1175/BAMS-87-2-191.
Li X, Song W, Lian L, Wei X. 2015. Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data. Remote Sensing. 2015(7): 4473-4498.
Li XL, Wang J, Song WG, Ma J, Telesca L, Zhang YM. 2014. Automatic smoke detection in modis satellite data based on k-means clustering and fisher linear discrimination. Photogramm. Eng. Remote Sens. 2014 (80): 971–982.
Li ZQ, Khananian A, Fraser RH, Cihlar J. 2001. Automatic detection of fire smoke using artificial neural networks and threshold approaches applied to AVHRR imagery. Geoscience and Remote Sensing, IEEE Transactions. 39(9): 1859-1870. doi: 10.1109/36.951076.
NOAA. 2014. VIIRS Nightfire Nighttime Detection and Characterization of Combustion Sources. [Diakses 2014 November 14]. http: //www.ngdc.noaa.gov/eog/data/viirs fire/viirs html/download viirs fire.html.
Planologi. 2013. Komposit Band pada Citra Satelit & Kegunaannya. [Internet] [Diakses 2017 Juli 18] http://malikaprianto10.blogspot.co.id/2013/04/komposit-band-pada-citra-satelit_24.html.
Prasasti I, Boer R, Ardiyansyah M, Buono A, Syaufina L, Vetrita Y. 2012. Analisis hubungan kode-kode SPBK (Sistem Peringkat Bahaya Kebakaran) dan hotspot dengan kebakaran hutan dan lahan di Kalimantan Tengah. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan. 2(2): 91-101.
Priyatna M, Khomarudin MR, Sukowati KAD. 2014. Spasial Pemantauan Kabut Asap (Haze) di Propinsi Riau dengan Menggunakan Google Earth. Bunga Rampai Pemanfaatan Data Penginderaan Jauh untuk Pemantauan, Deteksi dan Kajian Lingkungan. Crestpent Press.
Seaman C. 2013. Beginner’s Guide to VIIRS Imagery Data. CIRA/Colorado State University. [Diakses 2017 November 23]. http://rammb.cira.colostate.edu/projects/npp/ Beginner_Guide_to_VIIRS_Imagery_Data.pdf.
Su Q, Sun L, Di M, Liu X, Yang Y. 2017. A method for the spectral analysis and identification of Fog, Haze and Dust storm using MODIS data. Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/atm-2017-306. Manuscript under review for journal Atmos.Meas. Tech. Discussion started: 23 October 2017. © Author(s) 2017.CC BY 4.0 Licence.
Tacconi L. 2003. Kebakaran Hutan di Indonesia: Penyebab, Biaya dan Implikasi Kebijakan. Bogor: Center for International Forestry Research (CIFOR).
Tie X, Wu D, Brasseur G. 2009. Lung cancer mortality and exposure to atmsospheric aerosol particles in Guangzhou, China. Atmos. Environ. 43, 2375-2377.
Wang WT, Qu JJ, Hao XJ, Liu YQ, Sommers WT. 2007. An improved algorithm for small and cool fire detection using modis data: A preliminary study in the southeastern United States. Remote Sens. Environ. 2007 (108): 163–170.
Xie Y, Qu JJ, Xiong X, Hao X, Che N, Sommers W. 2007. Smoke Plume Detection in The Eastern United States using MODIS. International Journal of Remote Sensing. 28(10): 2007.
Zhao TX, Ackerman S, Guo W. 2010. Dust and Smoke Detection for Multi-Channel Imagers. Remote Sensing. 2010 (2): 2347-2368. doi: 10.3390/rs2102347.
Zubaidah A, Sulma S, Prasasti I. 2017. Analisis Pola Spektral Asap Kebakaran Hutan dan Lahan dari Data Soumi NPP-VIIRS. Bandung: Prosiding SNSA.
Zubaidah A, Sulma S, Suwarsono, Vetrita Y, Priyatna M, Sukowati KAD. 2017. Akurasi Luas Areal Kebakaran Dari Data Landsat-8 OLI Wilayah Kalimantan. Majalah Ilmiah Globe. 19(1): 21-32.
Zubaidah A, Vetrita Y, Priyatna M. 2014. Pemanfaatan Data Penginderaan Jauh untuk Pemantauan Kebakaran Hutan/Lahan di Sumatera. Bunga Rampai Pemanfaatan Data Penginderaan Jauh untuk Pemantauan, Deteksi dan Kajian Lingkungan. Crestpent Press.
Authors
ZubaidahA., SulmaS., SuwarsonoS. and PrasastiI. (2019) “Pemanfaatan Citra VIIRS untuk Deteksi Asap Kebakaran Hutan dan Lahan di Indonesia”, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). Bogor, ID, 9(4), pp. 929-945. doi: 10.29244/jpsl.9.4.929-945.
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