The Utilization of ALOS PALSAR Image to Estimate Natural Forest Biomass: Case Study at Bogani Nani Wartabone National Park (Pemanfaatan Citra ALOS PALSAR dalam Menduga Biomasa Hutan Alam: Studi Kasus di Taman Nasional Bogani Nani Wartabone)
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The development of remote sensing technology makes it possible to utilize its data in many sectors including forestry. Remote sensing image has been used to map land cover and monitor deforestation. This paper presents utilization of ALOS PALSAR image to estimate and map aboveground biomass at natural forest of Bogani Nani Wartabone National Park especially SPTN II Doloduo and SPTN III Maelang. We used modeling method between biomass value from direct measurement and digital number of satellite image. There are two maps which present the distribution of biomass and carbon from ALOS PALSAR image with 50 m spatial resolution. These maps were built based on backscatter polarization of HH and HV bands. The maps indicate most research area dominated with biomass stock 0-5.000 ton/ha.
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Badan Standardisasi Nasional. 2011. Standar Nasional Indonesia 7724:2011 tentang pengukuran dan penghitungan cadangan karbon – pengukuran lapangan untuk penaksiran cadangan karbon hutan (ground based forest carbon accounting)
Dahlan, I Nengah Surati Jaya, Istomo. 2005. Estimasi Karbon Tegakan Acacia mangium Willd Menggunakan Citra Landsat ETM+ dan SPOT-5: Studi Kasus di BKPH Parung Panjang KPH Bogor. Pertemuan Ilmiah Tahunan MAPIN XIV “Pemanfaatan Efektif Penginderaan Jauh Untuk Peningkatan Kesejahteraan Bangsa” Institut Teknologi Sepuluh Nopember, Surabaya 14-15 September 2005.
Hairiah K, Rahayu S. 2007. Pengukuran ‘Karbon Tersimpan’ di Berbagai Macam Penggunaan Lahan. Bogor. World Agroforestry Centre – ICRAF, SEA Regional Office, University of Brawijaya, Indonesia. 77 p.
Japan Aerospace Exploration Agency. 2008. ALOS data users handbook revision C. Earth Observation Research and Application Center
Jaya, I N S. 2007. Analisis citra dijital: perspektif penginderaan jauh untuk pengelolaan sumberdaya alam. Bogor. Fakultas Kehutanan Institut Pertanian Bogor.
Jaya, INS. 2011. Peranan dan Prospek Penginderaan Jauh dan Sistem Informasi Geografis dalam Pengurusan Hutan. Dalam Modul Pelatihan Penggunaan PALSAR dalam Pemetaan Penutupan Lahan/Hutan 7-12 Februari 2011.
Plant Resources of South East Asia. 1994. Timber trees: Major commercial timber. PROSEA. Bogor.
Plant Resources of South East Asia. 1994. Timber trees: Minor commercial timber. PROSEA. Bogor.
Plant Resources of South East Asia. 1994. Timber trees: Lesser-known commercial timber.PROSEA. Bogor
Rauste Y, Lönnqvst A, Ahola H. 2006. Processing and Analysis of ALOS PALSAR Imagery. Kaukartoituspäivät: VVT Technical Research Centre of Finland (diunduh 14 Desember 2012)
Saleh, M B. 2011. Citra radar. Dalam Modul Pelatihan Penggunaan PALSAR dalam Pemetaan Penutupan Lahan/Hutan. Bogor 7-12 Pebruari 2011.
Shimada M, Isoguchi O, Tadano T, Isono K. 2009. PALSAR Calibration Factor Updated. http://auig.eoc.jaxa.jp/auigs/en/doc/an/200901109en_3.html (diunduh 13 Desember 2012)
Tiryana, T. 2011. Pendugaan biomasa hutan menggunakan citra PALSAR. Dalam Modul Pelatihan Penggunaan PALSAR dalam Pemetaan Penutupan Lahan/Hutan. Bogor 7-12 Pebruari 2011.
Ulumudin, dkk. 2005. Korelasi stok karbon dengan karakteristik spektral citra landsat: studi kasus gunung papandayan. Pertemuan ilmiah tahunan MAPIN XIV “Pemanfaatan Efektif Penginderaan Jauh untuk Peningkatan Kesejahteraan Bangsa”. Surabaya 14-15 September 2005, Kampus Institut Teknologi Sepuluh Nopember.