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Soil Permittivity Estimation over Croplands Using Polsar Data

Bhogapurapu, Narayanarao and Dey, Subhadip and Bhattacharya, Avik and Lopez-Martinez, Carlos and Hajnsek, Irena and Rao, Y. S. (2022) Soil Permittivity Estimation over Croplands Using Polsar Data. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, 8000 -8003. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9883708. ISBN 978-166542792-0.

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/9884442

Abstract

Polarimetric Synthetic Aperture Radar (SAR) data has been extensively used to estimate soil permittivity because of its high sensitivity to the dielectric properties of the target. However, the presence of vegetation cover induces bias in the permittivity estimates. This work utilizes the scattering-type parameters: alpha (α¯¯¯) and theta (θFP) to estimate soil permittivity using the X-Bragg as the dominant surface scattering model. A theoretical study ascertains that the recently proposed θFP is fairly robust towards the depolarizing component in the X-Bragg model. Hence, it is expected to produce better inversion accuracy. This study analyzes major phenology stages of Canola using the UAVSAR full-pol SAR data and the ground measurements acquired during the SMAPVEX12 campaign over Manitoba, Canada. The proposed method achieved an RMSE of 5.9 for soil permittivity with a Pearson coefficient, r=0.83 . Further, the temporal trend of the soil permittivity estimates also agrees with in-situ measurements for the entire timeframe.

Item URL in elib:https://elib.dlr.de/192960/
Document Type:Conference or Workshop Item (Speech)
Title:Soil Permittivity Estimation over Croplands Using Polsar Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bhogapurapu, NarayanaraoMicrowave Remote Sensing Lab (MRSLab), Indian Institute of Technology Bombay, IndiaUNSPECIFIEDUNSPECIFIED
Dey, SubhadipUNSPECIFIEDhttps://orcid.org/0000-0002-4979-0192UNSPECIFIED
Bhattacharya, AvikMicrowave Remote Sensing Lab (MRSLab), Indian Institute of Technology Bombay, IndiaUNSPECIFIEDUNSPECIFIED
Lopez-Martinez, CarlosUPC BarcelonaUNSPECIFIEDUNSPECIFIED
Hajnsek, IrenaDLR-HR, ETH ZurichUNSPECIFIEDUNSPECIFIED
Rao, Y. S.Microwave Remote Sensing Lab, Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IndiaUNSPECIFIEDUNSPECIFIED
Date:July 2022
Journal or Publication Title:2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/IGARSS46834.2022.9883708
Page Range:8000 -8003
Publisher:IEEE
Series Name:IEEE Explore
ISBN:978-166542792-0
Status:Published
Keywords:Soil permittivity, Canola, PolSAR, X-Bragg, scattering-type parameter
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Kuala Lumpur, Malaysia
Event Type:international Conference
Event Dates:2022-07-17 - 2022-07-22
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Polarimetric SAR Interferometry HR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:09 Jan 2023 07:52
Last Modified:27 Oct 2023 15:29

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