Mulyanto Darmawan, Mulyanto
Badan Informasi Geospasial

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IMPLEMENTATION OF NSDI FOR DISASTER RISK MANAGEMENT IN INDONESIA : CASE STUDY ACEH PROVINCE

GEOMATIKA Vol 17, No 2 (2011)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

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Abstract

The Occurrence of the earthquake and tsunami on Sunday December 26, 2004 in the Province of Nanggroe Aceh Darussalam (NAD), the most western part of Indonesia, has been aware of Indonesian government that most part of their region are also prone area from earthquake and tsunami disasters. Long before, Central for Atlas of BAKOSURTANAL has shown an initiative toward providing easy access to geospatial data in a national context. The initiative was the development of national atlases, presenting the geographical information of a country in great detail and concise manner pertaining to the physical, culture and economical. This initiative was actually also to promote disaster awareness and provision of emergency aid in national level. However this is not the case, or at least not yet, Therefore, there was a significant confusion and concerns on the ground from international and local volunteer about Geospatial data during emergency response in 2005 in Aceh. The absence and difficulties in access to geospatial data were reason to the public an awareness of spatial information and access sharing during the disaster at the time. As of this, the idea of building a national and public infrastructure for accessing geospatial data has been discussed through the development of a national spatial data Infrastructure (NSDI). Therefore, provision of geospatial data and information to support disaster risk analysis is a step forward in the provision of multi hazard maps. This paper reviews the efforts made by BAKOSURTANAL in building NDSI for Disaster Risk Management support, based on geospatial team experience directly deployed in the field during the rehabilitation and reconstruction Aceh after the disaster. Keywords:  Geospatial data, National atlas, NSDI,  Disaster Risk Analysis schema scema  ABSTRAK Pasca Terjadinya gempa dan tsunami pada Minggu, 26 Desember Tahun 2004 di Provinsi Nanggroe Aceh Darussalam (NAD), bagian paling barat Indonesia, telah menyadarkan  Pemerintah Indonesia bahwa sebagian besar wilayahnya merupakan daerah rawan gempa dan bencana tsunami. Jauh sebelumnya BAKOSURTANAL telah menunjukkan inisiatif untuk menyediakan akses mudah ke data geospasial dalam konteks nasional dengan pengembangan atlas nasional yang menyajikan informasi geografis suatu negara dengan  rinci dan  ringkas berkaitan dengan budaya, fisik dan ekonomis. Inisiatif ini  akan bermanfaat pula untuk meningkatkan kesadaran tentang bencana dan penyediaan bantuan darurat di tingkat nasional. Karena atlas nasional tersebut belum selesai pada saat terjadinya bencana Aceh, ada kebingungan dan kekhawatiran di lokasi bencana dari relawan internasional maupun lokal tentang data Geospasial pada saat tanggap darurat pada tahun 2005 di Aceh.Sehingga muncul gagasan untuk membangun infrastruktur yang mampu mengakses data geospasial dan hal tersebut telah dibahas melalui pengembangan Infrastruktur Data spasial nasional (IDSN).Oleh karena itu, penyediaan data dan informasi geospasial untuk mendukung analisis risiko bencana adalah langkah maju dalam penyediaan peta rawan multi bencana. Tulisan ini membahas upaya yang dilakukan oleh BAKOSURTANAL dalam membangun IDSN untuk memberi dukungan terhadap Manajemen Risiko Bencana berdasarkan pengalaman tim geospasial yang langsung ditempatkan di lapangan selama masa rehabilitasi dan rekonstruksi Aceh setelah bencana. Kata Kunci: Data Geospasial, Atlas Nasional, IDSN,  Skema Analisis Risiko Bencana

KAJIAN DETEKSI DEGRADASI HUTAN DENGAN DATA MODIS DAN LANDSAT DALAM MEMAHAMI SKENARIO PENERAPAN REDD

MAJALAH ILMIAH GLOBE Vol 13, No 2 (2011)
Publisher : Badan Informasi Geospasial

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Abstract

Dalam studi ini data multi temporal satelit Landsat resolusi spasial 30 meter periodetahun 2003, 2006 dan 2009 dan data MODIS tahun 2003 dan 2008 digunakan untuk deteksi degradasi hutan wilayah Kalimantan, khususnya Kalimantan Timur. Deteksi level degradasi hutan menggunakan metode deteksi perubahan (change detection) dan analisa fragmentasi (fragmentation analysis). Kategori fragmentasi ditentukan berdasar pengelompokkan hutan dengan klas edge, perforated dan patch, sementara hutan alami dikelompokkan atas dalam hutan core pada buffer 250 sampai 500 acre. Selanjutnya dilakukan analisa faktor dasar (baseline factor) untuk memahami penerapan REDD sebagai respon terjadinya degradasi hutan. Hasil analisa data MODIS 2003-2008 menunjukkan terjadinya kecenderungan perubahan penurunan luas hutan sebesar 23,5% (7.256.931 ha). Dari 23,5% tersebut, sekitar 70,0% (5.089.851,7 ha) berupa perubahan penurunan pada hutan alami dan sekitar30,0% (2.167.079,3 ha) berupa penambahan hutan yang terkategori degradasi. Sebaliknya terjadi pula penambahan pada areal bukan hutan sekitar 30% (2.167.079,3 ha). Sementara analisa dengan data Landsat menunjukkan hasil kebalikan, yaitu selama periode 2003 – 2009 terjadi kenaikan jumlah hutan alami sebesar 3,5% (961.313 ha). Dari jumlah 3,5% tersebut, sebesar 7,8% (1.519.694 ha) berupa penambahan pada luasan hutan alami, dan berupa penurunan hutan terkategori degradasi sebesar 6,8% (558.381 ha) dan penurunan atas area bukan hutan sebesar 3,7% (961.313 ha). Adaptasi REDD pada masyarakat Kalimantan timur tersebar pada kelompok hutan terdegradasi (Patch, Perforated dan Edge). Kata Kunci: Hutan Tropis Basah, MODIS, Landsat, REDD, Hutan TerdegradasiABSTRACTSThis study used multi-temporal satellite Landsat imageries with 30-meter spatialresolution period in 2003, 2006 and 2009 and MODIS data in 2003 and 2008 for detection of forest degradation in Kalimantan region, especially East Kalimantan. Detection of degradation level was done using change detection method and fragmentation analysis. Categories were determined by grouping of forest fragmentation by class of edge, perforated and patches, while natural forests in the forest cores were grouped on the buffer 250 to 500 acres. Further analysis was conducted on baseline factors to understand the application of REDD as a response to forest degradation. Analysis result of MODIS data in 2003-2008 shows a trend of decreased forest area by 23.5% (7,256,931 ha). Of 23.5%, approximately 70.0% (11,793,319 ha) were in the form of changes to a decrease in natural forest and approximately 30.0% (4,536,388 ha) of forests are categorized addition of degradation. In contrast, there were also addition to non-forest area of about 30% (7,252,525 ha). Meanwhile, Landsat data analysis shows the opposite result. For example, during the period 2003 – 2009 there was an increase of 3.5% (961,313 ha) of natural forests. Out of the total 3.5% of these, 7.8% (1,519,694 ha) were in the form of addition to the natural forest area, and a decrease in forest degradation as many as 6.8% (558,381 ha) and a decrease of nonforest area of 3.7% (961,313 ha). Adaptation of REDD in East Kalimantan communities scattered in groups of degraded forests (Patch, Perforated and Edge).Keywords: Tropical Rain Forest, MODIS, Landsat, REDD, Degraded Forest

Study Forest Degradation in Kalimantan using NDVI SPOT Vegetation

GEOMATIKA Vol 17, No 1 (2011)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

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Abstract

AbstractKalimantan tropical rain forest (KTRF), for many years, has been subject for timber extraction, agriculture and plantation expansion, as well as settlement. Although it has experiencing ever land clearing, forest degradation both in spatial and temporal are poorly studied. In this study SPOT Vegetation were applied to scale up the understanding of forest degradation in KTRF. In the initial stage, NDVI SPOT Vegetation 10 day’s composite was evaluated for phenological analysis. Secondly, K-mean classification and Knowledge Base Expert System (KBSE) method were applied to nine phenological metrics (Onset, End, Max, Min, AMP, RtUp, RtDn, and DUR, TIN) to calculate proportion of forest (Pof) and connectivity of forest with other non forest (Cof). Finally, the Geometrical shapes of forest were evaluated to understand forest degradation in Kalimantan forest. Result found that about 46% of Kalimantan forest has been threatened or experience with forest clearance which correspond to plantation and agriculture crops. 54% of natural forest was corresponding to transitional forest, perforated and edge forest at about 8%, 9% and 37% respectively.Keywords: Kalimantan, Rain Forest, Degradation AbstrakHutan Hujan BasahKalimantan, dalam beberapa tahun, berperan sebagai pemasok kayu gelondongan, pengembangan wilayah pertanian dan perkebunan, demikian pula sebagai pemukiman. Walaupun telah banyak lahan yang di rambah, sangat sedikit studi kerusakan hutan secara spasial dan temporal.Dalam studi ini digunakan SPOT Vegetasi untuk mengetahui skala kerusakan hutan di Hutan Hujan BasahKalimantan. Dalam langkah awal, gabungan 10 hari Citra NDVI SPOT Vegetasi dievaluasi untuk analisa Fenologi, Kemudian digunakan metode klasifikasi K-mean dan Knowledge Base Expert System (KBSE) terhadap Sembilan parameter Fenologi (Onset, End, Max, <in, AMP, RtUp, RtDn, dan DUR, TIN) untuk menghitung proporsi hutan (Pof),dan hubungan antara hutan dengan non hutan (Cof). Akhirnya, bentuk Geometris dari pada hutan dievaluasi untuk mengetahui kerusakan hutan di Kalimantan. Hasilnya dijumpai bahwa sekitar 46% hutan Kalimantan telah di babat dengan cara pembukaan hutan untuk perkebunan dan lahan pertanian. 54% dari hutan alam, berupa hutan transisi 8%, hutan perforasi  9%, dan hutanpinggiran 37%.Kata kunci: Kalimantan, Hutan Hujan Basah, Degradasi,