Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Models

Onur Yuzugullu*, Esra Erten, Irena Hajnsek

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

This paper investigates the evolution of canopy height of rice fields for a complete growth cycle. For this purpose, copolar interferometric Synthetic Aperture Radar (Pol-InSAR) time series data were acquired during the large across-track baseline (>1 km) science phase of the TanDEM-X mission. The height of rice canopies is estimated by three different model-based approaches. The first approach evaluates the inversion of the Random Volume over Ground (RVoG) model. The second approach evaluates the inversion of a metamodel-driven electromagnetic backscattering model by including a priori morphological information. The third approach combines the previous two processes. The validation analysis was carried out using the Pol-InSAR and ground measurement data acquired between May and September in 2015 over rice fields located in Ipsala district of Edirne, Turkey. The results of presented height estimation algorithms demonstrated the advantage of Pol-InSAR data. The combined RvoG model and EM metamodel height estimation approach provided rice canopy heights with errors less than 20 cm for the complete growth cycle.

Original languageEnglish
Article number8396844
Pages (from-to)3001-3013
Number of pages13
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume11
Issue number9
DOIs
Publication statusPublished - Sept 2018

Bibliographical note

Publisher Copyright:
© 2008-2012 IEEE.

Funding

Manuscript received October 10, 2017; revised January 26, 2018 and April 21, 2018; accepted May 28, 2018. Date of publication June 25, 2018; date of current version September 5, 2018. This work was supported in part by the Scientific and Technological Research Council of Turkey under Project ID 113Y446, in part by the German Aerospace Center under Project ID XTILAND1476, and in part by the Scientific Research Projects Coordination of Istanbul Technical University under Project MUA-2017-40799. (Corresponding author: Onur Yuzugullu.) O. Yuzugullu was with the Institute of Environmental Engineering, ETH Zürich, Zürich CH-8093, Switzerland. He is now with the AgriCircle AG, Rapperswil-Jona 8640, Switzerland (e-mail:,[email protected]).

FundersFunder number
Deutsches Zentrum für Luft- und RaumfahrtXTILAND1476
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu113Y446
Istanbul Teknik ÜniversitesiMUA-2017-40799

    Keywords

    • Agriculture
    • copolar
    • height estimation
    • metamodel
    • polarimetric interferometry
    • polarimetry
    • stochastic approach
    • synthetic aperture radar (SAR)

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