scholarly journals FCD Application of Landsat for Monitoring Mangrove in Central Kalimantan

2016 ◽  
Vol 47 (2) ◽  
pp. 160 ◽  
Author(s):  
Raden Mas Sukarna ◽  
Yulianto Sahid
Keyword(s):  
Mangrove Forest ◽  
Forest Canopy ◽  
Rapid Development ◽  
Coastal Areas ◽  
Large Area ◽  
Canopy Density ◽  
Central Kalimantan ◽  
Aquaculture Industry ◽  
Forest Canopy Density ◽  
Conventional Methods

A large amount of tropical mangrove forest in Indonesia has been lost due to rapid development in coastal areas, such as, aquaculture, industry, housing, and etc. Assessment of mangrove still mostly used conventional methods. It involves labor intensive, time consuming, high costs and impractical for use in large area. To answer these problems, this study aims to study accuracy and effectiveness of forest canopy density (FCD) model of Landsat for monitoring mangrove changes with large area ±2.600 hectares during periods 2002 and 2014 in Central Kalimantan. The result showed that FCD is capable to classified mangrove changes with overall accuracy 89.75%, and known that mangrove changes during approximately 12 years divided into four groups, i.e. deforested areas 11.11%, degraded areas 12.98%, regrowth areas 23.29% and not change areas 52.62%. Concluded that FCD model is quite accurate and effective used to monitor mangrove changes such as deforestation, degradation and regrowth.

scholarly journals Evaluasi Tingkat Kekritisan Hutan Mangrove dengan Menggunakan Teknologi Spasial di Kawasan Pesisir Timur Aceh

2020 ◽  
Vol 4 (1) ◽  
pp. 682-689
Author(s):  
Nur Fathanah ◽  
Yulia Dewi Fazlina ◽  
Abubakar Karim
Keyword(s):  
Mangrove Forest ◽  
Forest Canopy ◽  
Critical Level ◽  
Development Planning ◽  
Coastal Areas ◽  
Mangrove Forests ◽  
Time Period ◽  
Forest Canopy Density ◽  
Type Of Land Use ◽  
Spatial Technology

Abstrak. Hutan mangrove di pesisir Kota Langsa semakin lama semakin terancam keberadaannya. Penyalahgunaan hutan mangrove yang dilakukan dalam kurun waktu akhir-akir ini telah menimbulkan berbagai kerusakan sehingga menyebabkan tingkat kekritisannya semakin tinggi. Salah satu upaya yang dapat dilakukan untuk mengatasi hal tersebut adalah dengan memanfaatkan teknologi spasial. Teknologi spasial merupakan salah satu media yang penting untuk melakukan perencanaan pembangunan dan pengelolaan sumber daya alam dengan cakupan yang luas. Penelitian ini bertujuan untuk mengetauhi seberapa besar tingkat kekrtitisan hutan mangrove sehingga dapat dilakukan upaya pemulihan bagi hutan mangrove dengan tingkat kekritisan yang tinggi. Kriteria yang digunakan untuk mengetahui tigkat kekrtitisan hutan mangrove yaitu jenis penggunaan lahan, kerapatan tajuk tanaman, dan ketahanan tanah terhadap abrasi. Hasil penelitian menunjukkan hutan mangrove dengan tingkat kekritisan tertinggi terjadi di kawasan pesisir Langsa bagian timur dengan kategori sangat kritis seluas 453,25 Ha atau 42,16 %, sedangkan hutan mangrove yang termasuk kategori kritis seluas 1.108,99 Ha atau 44%, serta yang tegolong ke dalam kategori tidak kritis seluas 2.337,78 Ha atau 56.70%.Critical Level of Mangrove Forest Using Spatial Technology Case Study in Coastal Areas of LangsaAbstract. Mangrove forests in coastal areas of Langsa are increasingly threatened. The misuse of mangrove forests that have been carried out at the end-time period has caused various damage, causing the critical level to be higher. One effort that can be done to overcome this problem is to utilize spatial technology. Spatial technology is one of the important media for carrying out extensive development planning and natural resource management The purpose of this study is to determine the critical level of mangrove forests so that recovery efforts can be done for mangrove forests with highest criticality level. The criteria used to determine the critical level of mangrove forests are the type of land use, forest canopy density, and soil resistance to abrasion. The results showed that the highest critical level of mangrove forest occurred in the eastern coastal areas of Langsa with very critical category is 453.25 ha or 42.16%, mangrove forests included in the critical category is 1,108.99 ha or 44%, and those classified to the non-critical category is 2,337.78 ha or 56.70%. 

scholarly journals Mapping Above-Ground Carbon Stock of Secondary Peat Swamp Forest Using Forest Canopy Density Model Landsat 8 OLI-TIRS: A Case Study in Central Kalimantan Indonesia

2021 ◽  
Vol 19 (2) ◽  
pp. 165-175
Author(s):  
Raden Mas Sukarna ◽  
◽  
Cakra Birawa ◽  
Ajun Junaedi ◽  
◽  
...  
Keyword(s):  
Carbon Stock ◽  
Forest Canopy ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Swamp Forest ◽  
Canopy Density ◽  
Peat Swamp Forest ◽  
Central Kalimantan ◽  
Peat Swamp ◽  
Forest Canopy Density

Mapping the above-ground carbon potential by using a non-destructive method has been a serious challenge for researchers in the effort to improve the performance of natural forest management in Indonesia, particularly in the ex-Mega Rice Project (MRP) area in Central Kalimantan Province. Nevertheless, the rapid and dynamic changes in secondary peat swamp forests are currently mapped effectively with the remote sensing technology using the Forest Canopy Density (FCD) model. FCD analysis as done by integrating vegetation index, soil index, temperature index and shadow index of Landsat 8 OLI images. The result was an FCD class map. In each class, parameter measurements were established for seedling, sapling, poles and tree stages. Above-ground carbon stock was calculated using three allometric equations. The results revealed that the values of carbon stock in ±16,147.26 ha dense secondary peat swamp forest, ±1,509.66 ha moderately dense scrub swamp forest, and ±632.07 ha sparse scrub swamp forest were, respectively, 79.28-122.96; 74.06-113.06; and 40.48-63.60 ton/ha. These results show that FCD application could be used to classify forest density effectively and in line with the variety of their attributes such us aboveground biomass and carbon stock potential.

scholarly journals INVESTIGATION OF FOREST CANOPY DENSITY CHANGES IN HYRCANIAN FOREST RESOURCES DURING 1987 TO 2002 USING REMOTE SENSING TECHNOLOGY

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 1031-1034
Author(s):  
M. Taefi Feijani ◽  
S. Azadnejad ◽  
S. Homayouni ◽  
M. Moradi
Keyword(s):  
Time Series ◽  
Forest Canopy ◽  
Spectral Band ◽  
Mixed Forest ◽  
Canopy Density ◽  
Rate Of Growth ◽  
Sensing Technology ◽  
Forest Canopy Density ◽  
Annual Time Series ◽  
Forest Lands

Abstract. Forest canopy density (FCD) of seventeen protected areas of the Caspian Hyrcanian mixed forest are studied here. A modified version of FCD mapper based on spectral band fusion and customized threshold calibration that is optimized for Hyrcanian forests is used for this purpose. In this project, the results of applying the FCD model on three time series of satellite images have been analysed. This classification is based on the FAO standard and consist of four categories such as no-forest, thin, semi-dense and dense. These images, taken with TM and ETM sensors, belong to three-time series between 1987 and 2002. The results of this study indicate that the rate of growth or destruction of forests has been investigated in the regions. Then, using tables and diagrams of variations, the rate of growth or destruction of forest lands in the corresponding period in each class is determined. The FCD model has the ability to study the canopy loading classes in the annual time series.

scholarly journals Analisis Degradasi Penutup Hutan Di Perkotaan Menggunakan Model Forest Canopy Density Studi Kasus : Kota Bandar Lampung

2019 ◽  
Vol 3 (2) ◽  
pp. 107
Author(s):  
Adam Irwansyah Fauzi ◽  
Agung Budi Harto ◽  
Dudung Muhally Hakim ◽  
Redho Surya Perdana
Keyword(s):  
Forest Canopy ◽  
Canopy Density ◽  
Forest Canopy Density

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.

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