Analysis of the land cover and its change over Yellow River basin using satellite data

M. Matsuoka, T. Hayasaka, Y. Fukushima, Y. Honda

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Land cover classification over Yellow River basin, China, by means of simple decision tree classification method using multitemporal metrics derived from MODIS data is shown in this paper. Since the land cover is one of the input parameters for the hydrological model, the critical feature of classification method is to control the classification result using threshold values. The tentative result shows good correlations with existing digital land use map, though the small overestimation or underestimation are recognized in several categories and the improvement is necessary in discriminating the single cropped agricultural field from natural grassland. The adjustments of the threshold values established in the decision tree would be done by the aid of higher resolution satellite data.

Original languageEnglish
Pages (from-to)836-839
Number of pages4
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publication statusPublished - 2004 Jan 1
Externally publishedYes
Event20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey
Duration: 2004 Jul 122004 Jul 23


  • Classification
  • Land cover
  • Terra/MODIS
  • Yellow River basin

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development


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