Judul: Model Penduga Massa Karbon Hutan Rawa Gambut Menggunakan Citra ALOS PALSAR
Abstrak: Perubahan iklim ditandai oleh meningkatnya suhu permukaan bumi yang disebabkan oleh gas rumah kaca dari pembakaran fosil. Mitigasi perubahan iklim salah satunya adalah hutan rawa gambut. Hutan rawa gambut telah diakui sebagai ekosistem yang mampu menyimpan karbon hingga jumlah besar. Sejalan dengan pelaksanaan program Clean Development Mechanism (CDM) dari Protocol Kyoto, ataupun program Reducing Emissions from Deforestation and Forest Degradation (REDD+) tidak menutup kemungkinan terjadinya perdagangan karbon, sehingga diperlukan model dan metoda pendugaan potensi massa karbon. Tulisan ini membahas pengembangan model estimasi massa karbon menggunakan data penginderaan jauh aktif dan massa karbon dari alometrik lokal. Tujuan dari penelitian ini adalah untuk mengembangkan model estimasi massa karbon dengan menggunakan penginderaan jauh aktif, data Advanced Land Observing Satellite Phased Array Type L-Band Synthetic Aperture Radar (ALOS PALSAR). Model dikembangkan atas dasar hubungan antara massa karbon ratarata dan nilai backscatter ALOS PALSAR dari HH, HV dan band sintetik HH/HV yang berasal dari berbagai ukuran pixel, yaitu: (a) 1x1 pixel, (b) 3x3 pixel, dan (c) 5x5 pixel. Studi ini menemukan bahwa koefisien korelasi yang baik ditunjukkan antara nilai backscatter dan stok karbon. Penelitian ini juga menunjukkan bahwa korelasi terbaik diberikan oleh HV, korelasi tersebut lebih baik dari pada korelasi yang diperoleh dengan menggunakan polarisasi HH dan HH/HV. Studi ini menghasilkan model terbaik, yaitu ŷ = -480,1-111,8HV-5,337HV2; R²=0,86.
Keyword: backscatter, stok karbon, penginderaan jauh aktif.

Judul: Model Penduga Biomassa Hutan Alam Lahan Kering Menggunakan Citra ALOS PALSAR Resolusi 50 M di Areal Kerja PT. Trisetia Intiga
Abstrak: The increase of Green House Gases (GHG), particularly carbon dioxide in the atmospheric is one factor that affect the global warming. One cause of the increase was due to emission of carbon that came from deforestation and land degradation. In the mitigation process for reducing the impact of global warming, one crusial activity is estimation of carbon sequestered in the vegetation. Commonly, carbon content sequestered at vegetation is derived from biomass estimation either from above ground biomass or below ground biomass. In this study, the focus was on estimation of the above ground biomass using remote sensing technology. Nowdays, the development of remote sensing techniques had been widely used for providing various information related to natural resources. Indonesia which is located in the tropical region, have several handicaps in using optical remote sensing due to cloud covers during wet season and smoke and haze during dry season. For the above reason, this study emphasizes on the use of radar image technology for estimating the above ground biomass. In this study the used radar image is ALOS PALSAR (Advance Land Observing Sattelite – Phase Array L-band Synthetic Aperture Radar), that had been launched in Januari 2006 by the Japanese government. This sensor is an active microwave sensor which has capability to penetrate thick cloud layer. An active microwave sensor be accepted dan reflectanced by several diresction that usually called polarization. Polarization is the vector direction from electromagnetic microwave on vertical line (V) and horizontal line (H). The main objective of this study is to develop the biomass estimation model using 50 meter resolution of ALOS PALSAR image in concession of PT. Trisetia Intiga, Central Kalimantan. Biomass model was developed by analyzing the relationship between backscatter value and field biomass. Backscatter value from tree polarization images, namely HH, HV, and HH/HV were analyzed simultaneously with field biomassa that derived using Ketterings allometric equation. In this study the obtained stand structure equation, Y=2482 ℮-0,04X with negative exponential or J-reverse form having realtively steep slope. From the stand structure equation, then it can be concluded that stand condition within the study area is belonged to logged over area secondary forest, where tree density with diameter less or equal to 60 cm is relatively low in comparison with the smaller tree size. From 30 sample plots measured, the above ground biomass is ranged from 68,03 ton/ha to 599,43 ton/ha with coefficient of variation (CV) equal to 50,29%. Proportionaly, the highest biomass is come from tree biomass (64,97%), then followed by biomass of necromass (20,13%), pole biomass (12,16%), sapling biomass (2,75%), litter biomass (3,3x10-5), and undergrowth biomass (5x10-5). The correlation and regretion analyses between backscatter value and field biomass show that there are 38 statistically significant equations having R² ≥ 50%. However, the verification analysis found that only two models identified as the best models having no-significant X²-test, low RMSE (Root Mean Square Error), low bias, and mean deviation < 10%. The best models are: 1) AGB = 3880.40613930209exp (0.250184794335192 HV) with coefficient determination (R²) of 56% and RMSE of 0.47%. 2) AGB = 1022.27050600692 exp (-0.0114464608949151 HV²)
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Judul: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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