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Crop classification using short-revisit multitemporal SAR data

Henning Skriver, Francesco Mattia, Guiseppe Satalino, Anna Balenzano, Valentijn Pauwels UGent, Niko Verhoest UGent and Malcolm Davidson (2011) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 4(2). p.423-431
abstract
Classification of crops and other land cover types is an important application of both optical/infrared and SAR satellite data. It is already an import application of present satellite systems, as it will be for planned missions, such as the Sentinels. An airborne SAR data set with a short revisit time acquired by the German ESAR system during the ESA-campaign, AgriSAR 2006, has been used to assess the performance of different polarization modes for crop classification. Both C-and L-band SAR data were acquired over the Demmin agricultural test site in North Eastern Germany on a weekly basis during the growing season. Single-and dual-polarization, and fully polarimetric data have been used in the analysis (fully polarimetric data were only available at L-band). The main results of the analysis are, that multitemporal acquisitions are very important for single-and dual-polarization modes, and that cross-polarized backscatter produces the best results, with errors down to 3%-6% at the two frequencies. There is a trade-off between the polarimetric information and the multitemporal information, where the best overall results are obtained using the multitemporal information. If only a few acquisitions are available, the polarimetric mode may perform better than the single-and dual polarization modes.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (proceedingsPaper)
publication status
published
subject
keyword
CAPABILITY, IMAGES, AGRICULTURAL CROPS, POLARIMETRIC SAR, MODEL, GIS, Classification, crops, multitemporal, polarization, SAR
journal title
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.
volume
4
issue
2
pages
423 - 431
conference name
5th International Workshop on Multi-Temporal Imagerhy Analysis
conference location
Storrs, CT, USA
conference start
2009-07-28
conference end
2009-07-30
Web of Science type
Proceedings Paper
Web of Science id
000290992900019
JCR category
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
JCR impact factor
1.489 (2011)
JCR rank
5/21 (2011)
JCR quartile
1 (2011)
ISSN
1939-1404
DOI
10.1109/JSTARS.2011.2106198
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1229087
handle
http://hdl.handle.net/1854/LU-1229087
date created
2011-05-23 08:25:02
date last changed
2011-06-24 15:07:55
@article{1229087,
  abstract     = {Classification of crops and other land cover types is an important application of both optical/infrared and SAR satellite data. It is already an import application of present satellite systems, as it will be for planned missions, such as the Sentinels. An airborne SAR data set with a short revisit time acquired by the German ESAR system during the ESA-campaign, AgriSAR 2006, has been used to assess the performance of different polarization modes for crop classification. Both C-and L-band SAR data were acquired over the Demmin agricultural test site in North Eastern Germany on a weekly basis during the growing season. Single-and dual-polarization, and fully polarimetric data have been used in the analysis (fully polarimetric data were only available at L-band). The main results of the analysis are, that multitemporal acquisitions are very important for single-and dual-polarization modes, and that cross-polarized backscatter produces the best results, with errors down to 3\%-6\% at the two frequencies. There is a trade-off between the polarimetric information and the multitemporal information, where the best overall results are obtained using the multitemporal information. If only a few acquisitions are available, the polarimetric mode may perform better than the single-and dual polarization modes.},
  author       = {Skriver, Henning and Mattia, Francesco and Satalino, Guiseppe and Balenzano, Anna and Pauwels, Valentijn and Verhoest, Niko and Davidson, Malcolm },
  issn         = {1939-1404},
  journal      = {IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING},
  keyword      = {CAPABILITY,IMAGES,AGRICULTURAL CROPS,POLARIMETRIC SAR,MODEL,GIS,Classification,crops,multitemporal,polarization,SAR},
  language     = {eng},
  location     = {Storrs, CT, USA},
  number       = {2},
  pages        = {423--431},
  title        = {Crop classification using short-revisit multitemporal SAR data},
  url          = {http://dx.doi.org/10.1109/JSTARS.2011.2106198},
  volume       = {4},
  year         = {2011},
}

Chicago
Skriver, Henning, Francesco Mattia, Guiseppe Satalino, Anna Balenzano, Valentijn Pauwels, Niko Verhoest, and Malcolm Davidson. 2011. “Crop Classification Using Short-revisit Multitemporal SAR Data.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (2): 423–431.
APA
Skriver, H., Mattia, F., Satalino, G., Balenzano, A., Pauwels, V., Verhoest, N., & Davidson, M. (2011). Crop classification using short-revisit multitemporal SAR data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 4(2), 423–431. Presented at the 5th International Workshop on Multi-Temporal Imagerhy Analysis.
Vancouver
1.
Skriver H, Mattia F, Satalino G, Balenzano A, Pauwels V, Verhoest N, et al. Crop classification using short-revisit multitemporal SAR data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 2011;4(2):423–31.
MLA
Skriver, Henning, Francesco Mattia, Guiseppe Satalino, et al. “Crop Classification Using Short-revisit Multitemporal SAR Data.” IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 4.2 (2011): 423–431. Print.