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)

Faisal Ashaari and Muhammad Kamal and Dede Dirgahayu (2018) 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). International Journal of Remote Sensing and Earth Sciences, 15 (1). pp. 81-92. ISSN 0216-6739

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Tree canopy density, single band, vegetation indices, FCD.
Subjects: Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Citra Satelit
Divisions: Deputi Penginderaan Jauh > Pusat Pemanfaatan Penginderaan jauh
Depositing User: Dinar Indrasasi
Date Deposited: 11 Aug 2021 03:45
Last Modified: 11 Aug 2021 03:45
URI: http://repositori.lapan.go.id/id/eprint/1124

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