Analyzing C-band SAR polarimetric information for LAI and crop yield estimations

Ramses A. Molijn; Lorenzo Iannini; Ali Mousivand; Ramon F. Hanssen

doi:10.1117/12.2067498

Analyzing C-band SAR polarimetric information for LAI and crop yield estimations

Ramses A. Molijn^*, Lorenzo Iannini, Ali Mousivand, Ramon F. Hanssen

^*Corresponding author for this work

Mathematical Geodesy and Positioning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

In this study, space remote sensing data and crop specific information from the ESA-led AgriSAR 2009 campaign are used for studying the profiles of C-band SAR backscatter signals and multispectral-based leaf area index (LAI) over the growth period of canola, pea and wheat. In addition, the correlations between radar backscatter parameters and the crop yields were analyzed, based on extracted statistics of temporal profiles. The results show that the HV backscatter and LAI are correlated differently before and after LAI peak. In addition, the coefficient of determination between peakrelated statistics from polarimetric indicator profiles and yield for pea fields can reach up to 0.68, and for canola and wheat up to 0.47 and 0.5, respectively. HV backscatter and coherence between HH and VV are most.

Original language	English
Title of host publication	Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI
Editors	Christopher M. U. Neale, Antonino Maltese
Publisher	SPIE
Number of pages	11
Volume	9239
ISBN (Print)	9781628413021
DOIs	https://doi.org/10.1117/12.2067498
Publication status	Published - 2014
Event	Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI - Amsterdam, Netherlands Duration: 23 Sept 2014 → 25 Sept 2014 Conference number: 16

Publication series

Name	PROCEEDINGS OF SPIE
Publisher	SPIE
Volume	9239
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI
Country/Territory	Netherlands
City	Amsterdam
Period	23/09/14 → 25/09/14

Keywords

crop monitoring
crop yield estimations
Leaf Area Index
SAR polarimetry

Access to Document

10.1117/12.2067498

Cite this

@inproceedings{fdbacbaed2aa4c5bbb740216e34a40f4,

title = "Analyzing C-band SAR polarimetric information for LAI and crop yield estimations",

abstract = "In this study, space remote sensing data and crop specific information from the ESA-led AgriSAR 2009 campaign are used for studying the profiles of C-band SAR backscatter signals and multispectral-based leaf area index (LAI) over the growth period of canola, pea and wheat. In addition, the correlations between radar backscatter parameters and the crop yields were analyzed, based on extracted statistics of temporal profiles. The results show that the HV backscatter and LAI are correlated differently before and after LAI peak. In addition, the coefficient of determination between peakrelated statistics from polarimetric indicator profiles and yield for pea fields can reach up to 0.68, and for canola and wheat up to 0.47 and 0.5, respectively. HV backscatter and coherence between HH and VV are most.",

keywords = "crop monitoring, crop yield estimations, Leaf Area Index, SAR polarimetry",

author = "Molijn, {Ramses A.} and Lorenzo Iannini and Ali Mousivand and Hanssen, {Ramon F.}",

year = "2014",

doi = "10.1117/12.2067498",

language = "English",

isbn = "9781628413021",

volume = "9239",

series = "PROCEEDINGS OF SPIE",

publisher = "SPIE",

editor = "Neale, { Christopher M. U.} and Antonino Maltese",

booktitle = "Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI",

address = "United States",

note = "Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI ; Conference date: 23-09-2014 Through 25-09-2014",

}

Molijn, RA, Iannini, L, Mousivand, A & Hanssen, RF 2014, Analyzing C-band SAR polarimetric information for LAI and crop yield estimations. in CMU Neale & A Maltese (eds), Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI. vol. 9239, 92390V, PROCEEDINGS OF SPIE, vol. 9239, SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, Amsterdam, Netherlands, 23/09/14. https://doi.org/10.1117/12.2067498

Analyzing C-band SAR polarimetric information for LAI and crop yield estimations. / Molijn, Ramses A.; Iannini, Lorenzo; Mousivand, Ali et al.
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI. ed. / Christopher M. U. Neale; Antonino Maltese. Vol. 9239 SPIE, 2014. 92390V (PROCEEDINGS OF SPIE; Vol. 9239).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Analyzing C-band SAR polarimetric information for LAI and crop yield estimations

AU - Molijn, Ramses A.

AU - Iannini, Lorenzo

AU - Mousivand, Ali

AU - Hanssen, Ramon F.

N1 - Conference code: 16

PY - 2014

Y1 - 2014

N2 - In this study, space remote sensing data and crop specific information from the ESA-led AgriSAR 2009 campaign are used for studying the profiles of C-band SAR backscatter signals and multispectral-based leaf area index (LAI) over the growth period of canola, pea and wheat. In addition, the correlations between radar backscatter parameters and the crop yields were analyzed, based on extracted statistics of temporal profiles. The results show that the HV backscatter and LAI are correlated differently before and after LAI peak. In addition, the coefficient of determination between peakrelated statistics from polarimetric indicator profiles and yield for pea fields can reach up to 0.68, and for canola and wheat up to 0.47 and 0.5, respectively. HV backscatter and coherence between HH and VV are most.

AB - In this study, space remote sensing data and crop specific information from the ESA-led AgriSAR 2009 campaign are used for studying the profiles of C-band SAR backscatter signals and multispectral-based leaf area index (LAI) over the growth period of canola, pea and wheat. In addition, the correlations between radar backscatter parameters and the crop yields were analyzed, based on extracted statistics of temporal profiles. The results show that the HV backscatter and LAI are correlated differently before and after LAI peak. In addition, the coefficient of determination between peakrelated statistics from polarimetric indicator profiles and yield for pea fields can reach up to 0.68, and for canola and wheat up to 0.47 and 0.5, respectively. HV backscatter and coherence between HH and VV are most.

KW - crop monitoring

KW - crop yield estimations

KW - Leaf Area Index

KW - SAR polarimetry

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DO - 10.1117/12.2067498

M3 - Conference contribution

AN - SCOPUS:84937197069

SN - 9781628413021

VL - 9239

T3 - PROCEEDINGS OF SPIE

BT - Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI

A2 - Neale, Christopher M. U.

A2 - Maltese, Antonino

PB - SPIE

T2 - Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI

Y2 - 23 September 2014 through 25 September 2014

ER -

Analyzing C-band SAR polarimetric information for LAI and crop yield estimations

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