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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	3836-3839
Sayfa sayısı	4
ISBN (Elektronik)	9781538671504
DOI'lar	https://doi.org/10.1109/IGARSS.2018.8518169
Yayın durumu	Yayınlandı - 31 Eki 2018
Etkinlik	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Süre: 22 Tem 2018 → 27 Tem 2018

Yayın serisi

Adı	International Geoscience and Remote Sensing Symposium (IGARSS)
Hacim	2018-July

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Ülke/Bölge	Spain
Şehir	Valencia
Periyot	22/07/18 → 27/07/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE

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Belgeye Erişim

10.1109/IGARSS.2018.8518169

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 8518169 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 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)).

@inproceedings{e497cfec22ae46e897bf3bd612ae9caa,

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",

month = oct,

day = "31",

doi = "10.1109/IGARSS.2018.8518169",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3836--3839",

booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",

address = "United States",

}

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), hac. 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); Hac. 2018-July).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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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U2 - 10.1109/IGARSS.2018.8518169

DO - 10.1109/IGARSS.2018.8518169

M3 - Conference contribution

AN - SCOPUS:85063132057

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3836

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

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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