Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops

Esra Erten; Gulsen Taskin; Juan M. Lopez-Sanchez

doi:10.1109/IGARSS.2018.8518169

Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops

Esra Erten
, Gulsen Taskin
, Juan M. Lopez-Sanchez

Open University Milton Keynes
University of Alicante

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Tracking crop's biophysical parameters using temporal PolSAR (Polarimetric Synthetic Aperture Radar Data) data is an active research topic in precision agriculture due to the sensitivity of PolSAR acquisition to canopy's physical and geometrical structure. Reconstruction of polarimetric features from collection of SAR data is computationally expensive, and more important, the inter-features correlations cause decreased performance in regression based biophysical parameter estimation. With the scope of operational crop monitoring, this study provides key variables to drive Leaf Area Index (LAI) from polarimetric data based on global sensitivity analysis (GSA) addressing the ranking of the most influential features. We applied variance-based GSA for temporal fully-polarimetric RadarSAT-2 images acquired through the cultivation period of two crops; canola and barley. Among 20 polarimetric features, anisotropy and correlation magnitude between co-polar channels were found to be the most influential polarimetric features for canola and barley, respectively.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3836-3839
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8518169
Publication status	Published - 31 Oct 2018
Event	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

LAI
Metamodels
Monitoring
Optimization
Polarimetry
Precision agriculture
SAR

Access to Document

10.1109/IGARSS.2018.8518169

Cite this

Erten, E., Taskin, G., & Lopez-Sanchez, J. M. (2018). Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 3836-3839). Article 8518169 (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8518169

Erten, Esra ; Taskin, Gulsen ; Lopez-Sanchez, Juan M. / Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 3836-3839 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

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title = "Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops",

abstract = "Tracking crop's biophysical parameters using temporal PolSAR (Polarimetric Synthetic Aperture Radar Data) data is an active research topic in precision agriculture due to the sensitivity of PolSAR acquisition to canopy's physical and geometrical structure. Reconstruction of polarimetric features from collection of SAR data is computationally expensive, and more important, the inter-features correlations cause decreased performance in regression based biophysical parameter estimation. With the scope of operational crop monitoring, this study provides key variables to drive Leaf Area Index (LAI) from polarimetric data based on global sensitivity analysis (GSA) addressing the ranking of the most influential features. We applied variance-based GSA for temporal fully-polarimetric RadarSAT-2 images acquired through the cultivation period of two crops; canola and barley. Among 20 polarimetric features, anisotropy and correlation magnitude between co-polar channels were found to be the most influential polarimetric features for canola and barley, respectively.",

keywords = "LAI, Metamodels, Monitoring, Optimization, Polarimetry, Precision agriculture, SAR",

author = "Esra Erten and Gulsen Taskin and Lopez-Sanchez, \{Juan M.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

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Erten, E , Taskin, G & Lopez-Sanchez, JM 2018, Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518169, International Geoscience and Remote Sensing Symposium (IGARSS) , vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 3836-3839, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8518169

Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops. / Erten, Esra ; Taskin, Gulsen; Lopez-Sanchez, Juan M.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 3836-3839 8518169 (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops

AU - Erten, Esra

AU - Taskin, Gulsen

AU - Lopez-Sanchez, Juan M.

PY - 2018/10/31

Y1 - 2018/10/31

N2 - Tracking crop's biophysical parameters using temporal PolSAR (Polarimetric Synthetic Aperture Radar Data) data is an active research topic in precision agriculture due to the sensitivity of PolSAR acquisition to canopy's physical and geometrical structure. Reconstruction of polarimetric features from collection of SAR data is computationally expensive, and more important, the inter-features correlations cause decreased performance in regression based biophysical parameter estimation. With the scope of operational crop monitoring, this study provides key variables to drive Leaf Area Index (LAI) from polarimetric data based on global sensitivity analysis (GSA) addressing the ranking of the most influential features. We applied variance-based GSA for temporal fully-polarimetric RadarSAT-2 images acquired through the cultivation period of two crops; canola and barley. Among 20 polarimetric features, anisotropy and correlation magnitude between co-polar channels were found to be the most influential polarimetric features for canola and barley, respectively.

AB - Tracking crop's biophysical parameters using temporal PolSAR (Polarimetric Synthetic Aperture Radar Data) data is an active research topic in precision agriculture due to the sensitivity of PolSAR acquisition to canopy's physical and geometrical structure. Reconstruction of polarimetric features from collection of SAR data is computationally expensive, and more important, the inter-features correlations cause decreased performance in regression based biophysical parameter estimation. With the scope of operational crop monitoring, this study provides key variables to drive Leaf Area Index (LAI) from polarimetric data based on global sensitivity analysis (GSA) addressing the ranking of the most influential features. We applied variance-based GSA for temporal fully-polarimetric RadarSAT-2 images acquired through the cultivation period of two crops; canola and barley. Among 20 polarimetric features, anisotropy and correlation magnitude between co-polar channels were found to be the most influential polarimetric features for canola and barley, respectively.

KW - LAI

KW - Metamodels

KW - Monitoring

KW - Optimization

KW - Polarimetry

KW - Precision agriculture

KW - SAR

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M3 - Conference contribution

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EP - 3839

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -

Erten E , Taskin G, Lopez-Sanchez JM. Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 3836-3839. 8518169. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS.2018.8518169

Global sensitivity analysis of polarimetric data to retrieve biophysical parameters of canola and barley crops

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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