DETEKSI AREA BEKAS KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN DATA CITRA RESOLUSI MENENGAH MODIS DENGAN PENDEKATAN INDEKS KEBAKARAN
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Accepted
28 January 2016
Published
31 May 2016
Abstract
This research examined the use of fire index algorithms to detect and recognize the burnt area in West Kalimantan by applying the pre-fire and post-fire image comparison technique. The main data used were derived from remotely sensed data MODIS acquired from Januari to April 2014. The examined algorithms utilized the near-infrared (NIR) and short-infrared (SWIR) wavelength spectrums. in the case of forest and land fires, occured the value of NIR decreases as the amount of chlorophyll decrease, while the pixel values and the inceasing value of SWIR will increase due to the rising temperature. The research objective was to the capability of the algorithms in detecting burnt forest and land areas in several selected areas in West Kalimantan, using few indices generated from MODIS data. The examined indices were NDFI (Normalized Difference Fire Index) and MNDFI (Modified Normalized Difference Fire Index), which utilize the reflectance values of band 2 (NIR) and band 7 (SWIR) from MODIS. The study results show that both the NDFI and MNDFI were applicable in detecting burnt area having good performance with the Normalize Distance (D) values larger than 1. Based on D-Value and accuracy assessment, MNDFI algorithm gave better index than the NDFI in detecting both forest and land areas.
References
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[21] Tacconi, L., 2003. Kebakaran Hutan di Indonesia: Penyebab, Biaya, dan Implikasi Kebija-kan. CIFOR Occasional Paper No 28.
[22] X. Cao, J. Chen, B. Matsushita, H. Imura, L. Wang. 2009. An automatic method for burn scar mapping using support vector machines. International Journal of Remote Sensing 30(3), pp. 577-594.
[2] Boer R., M. Ardiyansyah, I. Prasasti, L. Syaufina, R. Shiddik, 2011. Analisis hubungan antara jumlah titik-titik panas (hotspots) dengan luas kebakaran hutan dan curah hujan. In. Teknologi Geospasial untuk Ketahanan Pangan dan Pembangunan Berkelanjutan. Prosiding Pertemuan Ilmiah Tahunan XVII dan Kongres MAPIN V. ISBN: 978-602-97569-0-6. 2011 Feb 12, Bogor, Indonesia, pp. 250 – 254.
[3] Brewer, M. R., J.C. Winne, R.L. Redmond, D.W. Opitz, M.V. Mangrich, 2005. Classify-ing and mapping wildfire severity: a comparison of methods. J Photogrammetric Engineer-ing and Remote Sensing 71 (11), pp. 1311-1320.
[4] Chuvieco, E., G. Ventura, M.P. Martin, I. Gomez, 2005. Assessment of multitemporal compositing techniques of MODIS and AVHRR images for burned land mapping. J Remote sensing of Environment 94, pp. 450-462.
[5] Cocke, A. E., Fulé P. Z., J. E. Crouse, 2005. Comparison of burn severity assessment using Differenced Normalized Burn Ratio and ground data. Journal Wildland Fire 14, pp. 189-198.
[6] Eidensink, J., B. Schwind, K. Brewer, Z.L. Zhu, B. Quayle, S. Howard, 2007. A project for monitoring tends in burn severity. Journal Fire Ecology Special Issue 3 (1), pp. 3-21.
[7] Eva, H., E.F. Lambin, 1998. Remote sensing of biomass burning in tropical regions: sampling issues and multisensor approach. Journal Remote Sensing of Environment 64, pp. 292-315.
[8] Fraser, R.H., Z. Li, J. Cihlar, 2000. Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest. Journal Remote Sensing of Environment 72, pp. 362-376.
[9] Giglio, L., T. Loboda, D.P. Roy, B. Quayle, C.O. Justice, 2009. An active-fire based burned area mapping algorithm for
the MODIS sensor. Journal Remote Sensing of Environment 113, pp. 408-420.
[10] Goldammer, J.G., B. Seibert. 1990. The impact of droughts and forest fires on tropical lowland rain forest of Eastern Borneo. Dalam: J. G. Goldammer, editor. Fire in the tropical biota. Ecosystem processes and global challenges. Springer Berlin Heidelberg.
[11] Juaeni, I., D. Yuliani, R. Ayahbi, Noersomadi. 2010. Pengelompokan wilayah curah hujan Kalimantan Barat berbasis metode ward dan fuzzy clustering. Jurnal Sains Dirgantara 7 (2), pp. 82-89.
[12] Kasischke, E.S, N.H. French, 1995. Locating and Estimatinf the extent of wildfires in Alaskan boreal forest using multipleseason AVHRR NDVI. Journal Remote Sensing of Environment 51, pp. 263-275.
[13] Kaufman, Y. J., dan L.A. Remer, 1994. Detection of forest fire using mid-IR reflectance: an application for aerosol srudies. Journal IEEE Transactions on Geoscience and Remote Sensing 32, pp. 672-683.
[14] [KLH RI] Kementerian Lingkungan Hidup Republik Indonesia. 2014. Lokakarya pencega-han kebakaran hutan dan lahan menuju masyarakat peduli api. [terhubung berkala]. http://www.menlh.go.id/lokakarya-pencegahan-kebakaranhutan-dan-lahan-menuju-masyarakat-peduli-api-mpa/ [29 Mei 2015].
[15] Nunohiro, E., K. Katayama, K.J. Mackin, dan J.G. Park. 2007. Forest and field fire search system using MODIS data. Journal of Advanced Computational Intelligence and Intelligent Informatics 11 (8), pp. 1043-1048.
[16] Miettinen, J. 2007. Burnt area mapping in insular Southeast Asia using medium reolution satellite imagery. Disertasi. University of Helsinki, Finland.
[17] Peraturan Pemerintah Republik Indonesia. 2004. Perlindungan Hutan. Tanggal 18 Oktober 2004.
[18] Prasasti, I., R. Boer, M. Ardiyansyah, A. Buono, L. Syaufina, Y. Vetrita, 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), pp. 91-101.
[19] Suwarsono, F. Yulianto, Parwati, T. Suprapto, 2009. Pemanfaatan data MODIS untuk iden-tifikasi daerah bekas terbakar (burned area) berdasarkan perubahan nilai NDVI di Provinsi Kalimantan Tengah tahun 2009. Jurnal Penginderaan Jauh 6, pp. 54-64.
[20] Suwarsono, 2012. Daerah bekas kebakaran hutan dan lahan (burned area) di Kalimantan. Tesis. Universitas Indonesia, Bogor.
[21] Tacconi, L., 2003. Kebakaran Hutan di Indonesia: Penyebab, Biaya, dan Implikasi Kebija-kan. CIFOR Occasional Paper No 28.
[22] X. Cao, J. Chen, B. Matsushita, H. Imura, L. Wang. 2009. An automatic method for burn scar mapping using support vector machines. International Journal of Remote Sensing 30(3), pp. 577-594.
Authors
HanifahM., SyaufinaL. and PrasastiI. (2016) “DETEKSI AREA BEKAS KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN DATA CITRA RESOLUSI MENENGAH MODIS DENGAN PENDEKATAN INDEKS KEBAKARAN”, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). Bogor, ID, 6(1), p. 77. doi: 10.29244/jpsl.6.1.77.
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