Landcover classification using ERS SAR/INSAR data over tropical areas

Nicolas Stussi, Soo Chin Liew, Leong Keong Kwoh, Hock Lim, Janet Elizabeth Nichol, Kim Chuan Goh

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this study, we present a classification method using both optical and SAR data in order to perform landcover classification. First, different relevant parameters are derived from ERS-SAR data using multitemporal and interferometric analysis. Optical data are then used to define a set of training areas in order to perform a supervised classification. The results of classification using these techniques are compared with existing landuse maps and information derived from SPOT and Landsat data. We point out the usefulness of the coherence γtandemcomponent for this application. Moreover, we show that Δγ (difference between γtandemand γ35-day) can give additional useful information for the classification process.
Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Pages813-815
Number of pages3
Publication statusPublished - 1 Jan 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 1 (of 4) - Singapore, Singapore
Duration: 3 Aug 19978 Aug 1997

Conference

ConferenceProceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 1 (of 4)
CountrySingapore
CitySingapore
Period3/08/978/08/97

ASJC Scopus subject areas

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

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