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Polarimetric SAR Time Series Change Analysis over Agricultural Areas

Alonso-Gonzalez, Alberto and Lopez-Martinez, Carlos and Papathanassiou, Konstantinos and Hajnsek, Irena (2020) Polarimetric SAR Time Series Change Analysis over Agricultural Areas. IEEE Transactions on Geoscience and Remote Sensing, 58 (10), pp. 7317-7330. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.2981929. ISSN 0196-2892.

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Official URL: https://ieeexplore.ieee.org/document/9057507


This article proposes a change detection and analysis technique for monitoring the phenological development of agricultural vegetation by means of multitemporal Polarimetric Synthetic Aperture Radar (PolSAR) acquisitions. The technique relies on the generalized eigendecomposition of the polarimetric covariance matrices of the individual acquisitions. It both quantifies the magnitude of the change between PolSAR images acquired at different times and also provides an interpretation of occurred change in terms of the modified polarization states. This makes the algorithm suitable for investigating scattering dynamics associated with the phenological development of agricultural vegetation. To aid the interpretation of the changes detected, a representation based on the polarization states affected by the change process is proposed. The technique is evaluated using part of the multitemporal AGRISAR 2006 campaign data set. This data set consists of 12 quad-polarimetric images acquired by the German Aerospace Center (DLR) E-SAR airborne system at L-band from April 2006 to August 2006 over the Demmin test site. It covers large parts of the development cycle of different crop types. As a part of the evaluation, reference ground measurements are used to facilitate the interpretation of the data. The evaluation focuses on five important crop types: wheat, barley, rape, maize, and sugar beet. The results show that the proposed technique is able to detect and characterize different types of changes related to distinct development states of different crop types as the plant growing, maturation, and drying processes. © 1980-2012 IEEE.

Item URL in elib:https://elib.dlr.de/139399/
Document Type:Article
Title:Polarimetric SAR Time Series Change Analysis over Agricultural Areas
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:6 April 2020
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 7317-7330
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Series Name:IEEE Transactions on Geoscience and Remote Sensing
Keywords:Agriculture, change analysis, change detection, crop monitoring, polarimetry, synthetic aperture radar, SAR, time series
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 - Security-relevant Earth Observation
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:14 Dec 2020 10:02
Last Modified:23 Jul 2022 13:45

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