Paddy rice field extraction using ALOS-2 PALSAR-2 full polarimetric data with agricultural parcel vector data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

ALOS-2 PALSAR-2 data acquired in full polarimetric mode at the rice heading and well-grown seasons were analyzed to classify agricultural areas according to their use. Eigenvalue-eigenvector and four-component decompositions were used to classify the PALSAR-2 data and discriminate different agricultural parcels. Threshold analysis was applied for the polarimetric decomposition components. Polarimetric decomposition parameters, alpha angle, double bounce scattering component ratio, and surface scattering component ratio, were applied to classify areas according to their use for paddy rice or other crops including soybean. The same threshold value used for analysis using the double bounce scattering component ratio was useful for all PALSAR-2 data analyzed in this study. However, the efficient threshold for alpha angle discrimination was different between the analyzed datasets. Differences in data observation direction, incidence angle, and the growth situation of paddy rice at observation time are conceivable reasons for this difference.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5296-5299
Number of pages4
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 2018 Oct 31
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 2018 Jul 222018 Jul 27

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
CountrySpain
CityValencia
Period18/7/2218/7/27

Keywords

  • Crop monitoring
  • Polarimetric decomposition
  • Synthetic aperture radar

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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