Relating Amazon forest biomass to PolInSAR extracted features

Author

Pires de Castro-Filho, Carlos Alberto ; da Costa Freitas, Corina ; Siqueira Sant´Anna, Sidnei Joao ; Nogueira Lima, Adriano Jose ; Higuchi, N.

Author_Institution

Geographic Service of the Brazilian Army, Brasilia, Brazil

fYear

2013

fDate

21-26 July 2013

Firstpage

957

Lastpage

960

Abstract

The combination of polarimetric SAR (PolSAR) with the interferometry capability (InSAR) enables the extraction of new features that enhances the development of biomass estimation models. This work aims in demonstrating the importance of the simultaneous use of several types of SAR features for estimating forest biomass. The study site is São Gabriel da Cachoeira, located in the Brazilian Amazon. Forest inventory was conducted by INPA and a sample of 29 plots have been used to compute above and below-ground biomass. Polarimetric interferometric X and P band SAR data (PolInSAR) were acquired by the DSG´s Amazon Radiography Project. After the initial analysis of the data and feature extraction, analyses on the relationship between biomass and SAR features have been done. Only 4 out of the 122 features extracted presented a significant correlation with biomass and each of them were related to a structural characteristic of the forest.

Keywords

radar interferometry; radar polarimetry; remote sensing by radar; Amazon forest biomass; Brazilian Amazon; DSG Amazon Radiography Project; PolInSAR extracted features; Sao Gabriel da Cachoeira; biomass estimation model; interferometry capability; polarimetric SAR; Biomass; Correlation; Estimation; Feature extraction; Remote sensing; Synthetic aperture radar; Vegetation; Amazon; SAR; feature extraction; forest biomass;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721320

Filename

6721320