Application of various approaches of multispectral and radar data fusion for modelling of aboveground forest biomass-Reference-Cited by-同舟云学术

Application of various approaches of multispectral and radar data fusion for modelling of aboveground forest biomass

Published:2023-06-01 Issue:2 Volume:65 Page:55-67
ISSN:2199-5907
Container-title:Folia Forestalia Polonica
language:en
Short-container-title:

Author:

Movchan Dmytro¹,Bilous Andrii²,Yelistratova Lesia¹,Apostolov Alexander¹,Hodorovsky Artur¹

Affiliation:

1. 1 National Academy of Sciences of Ukraine, Scientific Centre for Aerospace Research of the Earth , Olesia Honchara 55-b , , Kyiv , Ukraine

2. 2 National University of Life and Environmental Sciences of Ukraine , Heroyiv Oborony 15 , , Kyiv , Ukraine

Abstract

Abstract Five different data fusion techniques (multiple linear regression (MLR), high-pass filtering (HPF), intensity hue saturation (IHS), wavelet transformation (WT) and the hybrid method WT + IHS) have been applied to model the aboveground forest biomass (AGB) in this study. The RapidEye multispectral image and the PALSAR radar image were used in research as sources of remote sensing data. Five models for estimating forest AGB were built and analysed using data from test area in Chernihiv region (Ukrainian Polissya). Correlation and min–max accuracy have been calculated for each model to measure the model performance. Among all the data fusion approaches used in the study, the high-pass filtering method has shown the greatest efficiency.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/ffp-2023-0006

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