The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.
Salah satu faktor utama terjadinya perubahan iklim yang sedang berlangsung saat ini adalah akibat emisi yang ditimbulkan oleh degradasi hutan, yaitu mencapai sekitar 20% dari seluruh emisi Gas Rumah Kaca (GRK). Di Indonesia, degradasi hutan salah satunya banyak terjadi di kawasan perkotaan, tak terkecuali di Kota Bandar Lampung. Mengingat peran hutan yang begitu vital, banyak bidang-bidang keilmuan yang diaplikasikan untuk mengamati fenomena degradasi hutan, tak terkecuali teknologi penginderaan jauh (inderaja). Salah satu metode pengolahan citra yang sering diaplikasikan untuk mengamati hutan adalah model Forest Canopy Density (FCD). FCD merupakan suatu model yang dikembangkan oleh Atsushi Rikimaru untuk keperluan analisis dan pemantauan perkembangan hutan secara kuantitatif. Dari hasil pengolahan data dan analisis, antara rentang tahun 2009 hingga tahun 2015, Kota Bandar Lampung mengalami degradasi hutan sebesar 1002,75 ha. Meskipun demikian, secara keseluruhan degradasi terjadi pada kawasan budidaya yaitu mencapai 92,03%, sedangkan kawasan lindung hanya terdegradasi sebesar 7,97%. Selain itu, terdapat beberapa wilayah teridentifikasi mengalami peningkatan persentase penutup hutan, diantaranya terdapat pada kawasan hutan, permukiman dan pesisir pantai.
Land conversion is a serious threat for TAHURA Wan Abdul Rachman area and based on Landsat imagery map of 2010, TAHURA damage reached 72%. Based on the result of ecosystem services to the forest in TAHURA area that will be used in the development of the area. Forest ecosystem services can be calculated by the amount of biomass and carbon uptake lost to the forest.
In the development of digital photogrammetric system, automatic image matching process play an important role. The automatic image matching is used in finding the conjugate points of an aerial photograph stereopair automatically. This matching technique gives quite significant contribution especially in the development of 3D photogrammetry in an attempt to get the exact and precise topographic information during the stereo restitution. There are two image matching methods that have been so far developed, i.e. the area based system for gray level environment and the feature based system for natural feature environment. This research is trying to implement the area based matching with normalized cross correlation technique to get the correlation coefficient between the spectral value of the left image and its pair on the right. Based on the previous researches, the use of color image could increase the quality of matching. One of the color image matching technique is known as Separate Channel Mean Value. In order to be able to see the performance of the technique, a number of sampling areas with various different characteristics have been chosen, i.e. the heterogeneous, homogeneous, texture, shadow, and contrast. The result shows the highest similarity measure is obtained on heterogeneous sample area at size of all reference and search image, i.e. (11 pixels x 11 pixels) and (23 pixels x 23 pixels). In these area the correlation coefficient reached more than 0.7 and the highest percentage of similarity measure is obtained. The average of total similarity measure of conjugate images in the sampling image area only reach about 41.43 % of success. Therefore, this technique has a weakness and some treatment to overcome the problems is still needed.
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