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Determining Rice Growth Stage with X-Band SAR: A Metamodel based Inversion

Yuzugullu, Onur and Marelli, Stefano and Erten, Esra and Hajnsek, Irena (2017) Determining Rice Growth Stage with X-Band SAR: A Metamodel based Inversion. Remote Sensing, 9 (460). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs9050460. ISSN 2072-4292.

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Rice crops are important in the global food economy, and new techniques are being implemented for their effective management. These techniques rely mainly on the changes in the phenological cycle, which can be investigated by remote sensing systems. High frequency and high spatial resolution Synthetic Aperture Radar (SAR) sensors have great potential in all-weather conditions for detecting temporal phenological changes. This study focuses on a novel approach for growth stage determination of rice fields from SAR data using a parameter space search algorithm. The method employs an inversion scheme for a morphology-based electromagnetic backscattering model. Since such a morphology-based model is complicated and computationally expensive, a surrogate metamodel-based inversion algorithm is proposed for the growth stage estimation. The approach is designed to provide estimates of crop morphology and corresponding growth stage from a continuous growth scale. The accuracy of the proposed method is tested with ground measurements from Turkey and Spain using the images acquired by the TerraSAR-X (TSX) sensor during a full growth cycle of rice crops. The analysis shows good agreement for both datasets. The results of the proposed method emphasize the effectiveness of X-band PolSAR data for morphology-based growth stage determination of rice crops.

Item URL in elib:https://elib.dlr.de/118371/
Document Type:Article
Title:Determining Rice Growth Stage with X-Band SAR: A Metamodel based Inversion
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yuzugullu, OnurInstitute of Environmental Engineering, ETH ZurichUNSPECIFIEDUNSPECIFIED
Marelli, StefanoInstitute of Civil Engineering, ETH ZurichUNSPECIFIEDUNSPECIFIED
Erten, EsraFaculty of Civil Engineering, Istanbul Technical University, IstanbulUNSPECIFIEDUNSPECIFIED
Date:10 May 2017
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:rice growth; agriculture; crop morphology; Synthetic Aperture Radar (SAR); polarimetry; metamodels; Polynomial Chaos Expansion (PCE)
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 - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Hajnsek, Dr.rer.nat. Irena
Deposited On:19 Jan 2018 12:25
Last Modified:14 Dec 2019 04:26

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