publication . Article . 2017

Estimation of aboveground biomass using optical and radar images (Case study: Nav-e Asalem forests, Gilan)

Sasan Vafaei; Javad Soosani; Kamran Adeli; Hadi Fadaei; Hamed Naghavi;
Open Access Persian
  • Published: 01 Jun 2017 Journal: تحقیقات جنگل و صنوبر ایران, volume 25, issue 2, pages 320-331 (issn: 1735-0883, eissn: 2383-1146, Copyright policy)
  • Publisher: Research Institute of Forests and Rangelands of Iran
Abstract
Using remote sensing data is an applied method to estimate above ground biomass. In this study, satellite radar data of ALOS-2, with the full polarization and the optical data of Sentinel-2, has been used to estimate the aboveground biomass in the Nav-e Asalem forests, Gilan province. The backscattering coefficients at different polarization, the texture measures and target decomposition features of SAR images, obtained original and synthetic bands from optical images in three different combinations of radar images, optical images and the composition of radar and optical images, as inputs to the Artificial Neural Network (ANN) and Multiple Linear Regression (MLR...
Subjects
arXiv: Physics::Atmospheric and Oceanic Physics
free text keywords: ALOS, Artificial neural network, Remote Sensing, SAR, Sentinel, lcsh:Forestry, lcsh:SD1-669.5
Communities
Rural Digital Europe
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