Classification of wetland vegetation by texture analysis methods using ERS-1 and JERS-1 images

Yoshiki Yamagata, Yoshifumi Yasuoka

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

22 Citations (Scopus)

Abstract

Images obtained by the C-band (5.3 GHz, 5.7 cm) VV-polarized ERS-1 SAR and the L-band (1.275 GHz, 23.5 cm) HH-polarized JERS-1 SAR were analyzed for the classification of wetland vegetation types. Both scenes were obtained when the wetland vegetation was at the maximum biomass stage. We applied texture analysis method using the cooccurrence matrix to classify the vegetation of the Kushiro mire. The result of the classification was evaluated comparing with the result using the SPOT data. As a result, it is shown that several texture features of SAR images are useful for the wetland vegetation classification. We especially demonstrate that the bog and the fen vegetation in the wetland can be segregated using JERS-1 image, and also the swamp forest can be delineated from the fen vegetation using ERS-1 image.

Original languageEnglish
Title of host publicationBetter Understanding of Earth Environment
EditorsSadao Fujimura
PublisherPubl by IEEE
Pages1614-1616
Number of pages3
ISBN (Print)0780312406
Publication statusPublished - 1993
Externally publishedYes
EventProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium - Tokyo, Jpn
Duration: 1993 Aug 181993 Aug 21

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume4

Conference

ConferenceProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
CityTokyo, Jpn
Period93/8/1893/8/21

ASJC Scopus subject areas

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

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