Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

Vafaei, Sasan; Soosani, Javad; Adeli, Kamran; Fadaei, Hadi; Naghavi, Hamed; Pham, Tien; Tien Bui, Dieu

doi:10.3390/rs10020172

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Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

Shared by NobleBlocks on Jan 25, 2018 • 12:00 AM UTC

Authors:

Sasan Vafaei

Javad Soosani

Kamran Adeli

Abstract

The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the Aboveground Biomass (AGB) measurement. According to ...

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