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Estimating the Aboveground Biomass of an Evergreen Broadleaf Forest in Xuan Lien Nature Reserve, Thanh Hoa, Vietnam, Using SPOT-6 Data and the Random Forest Algorithm
Joint Authors
Nguyen, The Dung
Kappas, Martin
Source
International Journal of Forestry Research
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Forest biomass is an important ecological indicator for the sustainable management of forests.
The aim of this study was to estimate forest aboveground biomass (AGB) by integrating SPOT-6 data with field-based measurements using the random forest (RF) algorithm.
In total, 52 remote sensing variables, including spectral bands, vegetation indices, topography data, and textures, were extracted from SPOT-6 images to predict the forest AGB of Xuan Lien Nature Reserve, Vietnam.
To determine the optimal predictor variables for AGB estimation, 10 different RF models were built.
To evaluate these models, 10-fold cross-validation was applied.
We found that a combination of spectral and vegetation indices and topography variables offer the highest prediction results (Radj2 = 0.74 and RMSE = 61.24 Mg ha−1).
Adding texture features into the predictor variables did not improve the model performance.
In addition, the SPOT-6 sensor has the potential to predict forest AGB using the RF algorithm.
American Psychological Association (APA)
Nguyen, The Dung& Kappas, Martin. 2020. Estimating the Aboveground Biomass of an Evergreen Broadleaf Forest in Xuan Lien Nature Reserve, Thanh Hoa, Vietnam, Using SPOT-6 Data and the Random Forest Algorithm. International Journal of Forestry Research،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1170785
Modern Language Association (MLA)
Nguyen, The Dung& Kappas, Martin. Estimating the Aboveground Biomass of an Evergreen Broadleaf Forest in Xuan Lien Nature Reserve, Thanh Hoa, Vietnam, Using SPOT-6 Data and the Random Forest Algorithm. International Journal of Forestry Research No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1170785
American Medical Association (AMA)
Nguyen, The Dung& Kappas, Martin. Estimating the Aboveground Biomass of an Evergreen Broadleaf Forest in Xuan Lien Nature Reserve, Thanh Hoa, Vietnam, Using SPOT-6 Data and the Random Forest Algorithm. International Journal of Forestry Research. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1170785
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170785