Land cover classification over yellow river basin using satellite data

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

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

Land cover classification over Yellow River basin, China, by means of simple decision tree classification method using multi-temporal 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
Pages231-234
Number of pages4
Publication statusPublished - 2004 Dec 1
Externally publishedYes
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: 2004 Sep 202004 Sep 24

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
CountryUnited States
CityAnchorage, AK
Period04/9/2004/9/24

Keywords

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

ASJC Scopus subject areas

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

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