Morphology estimation of rice fields using X-band PolSAR data

Synthetic Aperture Radar (SAR) remote sensing techniques play a significant role in modern agricultural crop monitoring by relating the plant structure (height, biomass, yield and growth-stage) to the backscattering behavior of the vegetative canopy. The current trend in crop monitoring is towards p...

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Bibliographic Details
Published in2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) pp. 7121 - 7124
Main Authors Yuzugullu, Onur, Erten, Esra, Hajnsek, Irena
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Agriculture
Backscatter
Biological system modeling
Computational modeling
crop morphology
metamodels
monitoring
Morphology
optimization
Polarimetry
precision agriculture
SAR
Scattering
Synthetic aperture radar
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Summary:Synthetic Aperture Radar (SAR) remote sensing techniques play a significant role in modern agricultural crop monitoring by relating the plant structure (height, biomass, yield and growth-stage) to the backscattering behavior of the vegetative canopy. The current trend in crop monitoring is towards precision agriculture, which needs detailed morphology information. By predicting the physical structure, one can just determine the under and overgrowth conditions. In this study, we propose a probabilistic inversion algorithm for a Radiative Transfer Theory (RTT) model which relates the backscattering response of a canopy to its physical structure. The outcomes of the inversion provided promising results by estimating the dimensions of the primary structures with a small bias.
ISSN:2153-7003
DOI:10.1109/IGARSS.2016.7730858