Correlation analysis between forest canopy density and LANDSAT TM data based on sub-compartment objects

2013 ◽  
Author(s):  
Cunjian Yang ◽  
Jing Ni ◽  
He Huang ◽  
Wuxue Cheng ◽  
Shaou Han
Keyword(s):  
Correlation Analysis ◽  
Forest Canopy ◽  
Landsat Tm ◽  
Canopy Density ◽  
Forest Canopy Density

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.

scholarly journals COMPARISON OF MODEL ACCURACY IN TREE CANOPY DENSITY ESTIMATION USING SINGLE BAND, VEGETATION INDICES AND FOREST CANOPY DENSITY (FCD) BASED ON LANDSAT-8 IMAGERY (CASE STUDY: PEAT SWAMP FOREST IN RIAU PROVINCE)

2018 ◽  
Vol 15 (1) ◽  
pp. 81 ◽  
Author(s):  
Faisal Ashaari ◽  
Muhammad Kamal ◽  
Dede Dirgahayu
Keyword(s):  
Remote Sensing ◽  
Forest Canopy ◽  
Near Infrared ◽  
Vegetation Indices ◽  
Single Band ◽  
Tree Canopy ◽  
Landsat 8 ◽  
Swamp Forest ◽  
Canopy Density ◽  
Forest Canopy Density

Identification of a tree canopy density information may use remote sensing data such as Landsat-8 imagery. Remote sensing technology such as digital image processing methods could be used to estimate the tree canopy density. The purpose of this research was to compare the results of accuracy of each method for estimating the tree canopy density and determine the best method for mapping the tree canopy density at the site of research. The methods used in the estimation of the tree canopy density are Single band (green, red, and near-infrared band), vegetation indices (NDVI, SAVI, and MSARVI), and Forest Canopy Density (FCD) model. The test results showed that the accuracy of each method: green 73.66%, red 75.63%, near-infrared 75.26%, NDVI 79.42%, SAVI 82.01%, MSARVI 82.65%, and FCD model 81.27%. Comparison of the accuracy results from the seventh methods indicated that MSARVI is the best method to estimate tree canopy density based on Landsat-8 at the site of research. Estimation tree canopy density with MSARVI method showed that the canopy density at the site of research predominantly 60-70% which spread evenly.

scholarly journals Application of Forest Canopy Density (FCD) Model for the Hotspot Monitoring of Crown Fire in Tebo, Jambi Province

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Muhammad Attorik Falensky ◽  
Anggieani Laras Sulti ◽  
Ranggas Dhuha Putra ◽  
Kuswantoro Marko
Keyword(s):  
Remote Sensing ◽  
Spatial Analysis ◽  
Forest Canopy ◽  
Remote Sensing Data ◽  
Forest Area ◽  
Landsat 8 ◽  
Crown Fire ◽  
Canopy Density ◽  
Sensing Data ◽  
Forest Canopy Density

<p><em>Indonesia is one of the owners of the 9th largest forest area in the world. Forest area in Indonesia reaches 884,950 km<sup>2</sup>. Tebo Regency is a regency in Jambi Province which has a wide forest area of 628,003 Ha. However, this forest area has been reduced due to the conversion of functions of Industrial Plantation Forests (HTI), oil palm plantations, and forest clearing activities for both settlements and plantations which led to the phenomenon of forest and land fires (karhutla). This study aims to get a better knowledge of crowns of fire potential locations in forest areas using remote sensing technology. Remote sensing data used in this study is from the satellite imagery </em><em>of </em><em>Landsat 8 OLI - TIRS in 2019. Remote sensing data is used to produce a Forest Canopy Density (FCD) model that can be overlap</em><em>ped with</em><em> a hotspot location, so the crown fire potential locations will be explored in the forest area of Tebo Regency, Jambi Province. Identification of hotspot patterns in Forest Areas was analyzed using spatial analysis. The results of this study are useful for the government as the information of the hotspot area as the cause of fires in the Forest Region of Tebo Regency Jambi Province.</em></p><strong><em>Keywords</em></strong><em>: Spatial Analysis, Forest Cover Density (FCD), Hotspots, Forest Areas, Remote Sensing</em>

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