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A Multi-Year Study on Rice Morphological Parameter Estimation with X-Band Polsar Data

Yuzugullu, Onur and Erten, Esra and Hajnsek, Irena (2017) A Multi-Year Study on Rice Morphological Parameter Estimation with X-Band Polsar Data. Applied Sciences, 7 (6) (602). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app7060602. ISSN 2076-3417.

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Rice fields have been monitored with spaceborne Synthetic Aperture Radar (SAR) systems for decades. SAR is an essential source of data and allows for the estimation of plant properties such as canopy height, leaf area index, phenological phase, and yield. However, the information on detailed plant morphology in meter-scale resolution is necessary for the development of better management practices. This letter presents the results of the procedure that estimates the stalk height, leaf length and leaf width of rice fields from a copolar X-band TerraSAR-X time series data based on a priori phenological phase. The methodology includes a computationally efficient stochastic inversion algorithm of a metamodel that mimics a radiative transfer theory-driven electromagnetic scattering (EM) model. The EM model and its metamodel are employed to simulate the backscattering intensities from flooded rice fields based on their simplified physical structures. The results of the inversion procedure are found to be accurate for cultivation seasons from 2013 to 2015 with root mean square errors less than 13.5 cm for stalk height, 7 cm for leaf length, and 4 mm for leaf width parameters. The results of this research provided new perspectives on the use of EM models and computationally efficient metamodels for agriculture management practices.

Item URL in elib:https://elib.dlr.de/114019/
Document Type:Article
Title:A Multi-Year Study on Rice Morphological Parameter Estimation with X-Band Polsar Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:9 July 2017
Journal or Publication Title:Applied Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Volume:7 (6)
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Applied Sciences
Keywords:spaceborne Synthetic Aperture Radar (SAR), plant morphology,
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:13 Sep 2017 13:14
Last Modified:14 Dec 2019 04:24

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