Journal ArticleOPEN ACCESS

The potential of multi-frequency multipolarized ALOS-2/PALSAR-2 and Sentinel-1 SAR data for aboveground forest biomass estimation

  • Sivasankar T
  • Lone J
  • K.K. S
  • et al.
International Journal of Engineering and Technology (2018) 10(3) 797-802
DOI: 10.21817/ijet/2018/v10i3/181003095
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Abstract

… Several previous studies have observed better accuracies with SVM and Random Forest than other machine learning methods like Neural Network … The important tree species are Schima wallichi (8.26%), Shorea robusta (5.37%), Tectona grandis (4.82%), Sterculia villosa (4.36 …

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APA

Sivasankar, T., Lone, J. M., K.K., S., Qadir, A., & P.L.N., R. (2018). The potential of multi-frequency multipolarized ALOS-2/PALSAR-2 and Sentinel-1 SAR data for aboveground forest biomass estimation. International Journal of Engineering and Technology, 10(3), 797–802. https://doi.org/10.21817/ijet/2018/v10i3/181003095

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