Land cover classification over yellow river basin using satellite data

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

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

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.

本文言語English
ページ231-234
ページ数4
出版ステータスPublished - 2004 12 1
外部発表はい
イベント2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
継続期間: 2004 9 202004 9 24

Other

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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