Flood damage analysis using multitemporal Landsat Thematic Mapper data

Yoshiki Yamagata, Tsuyoshi Akiyama

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

The paddy rice damage caused by a flood in the Kanto district in Japan has been analysed using multitemporal Landsat-5 Thematic Mapper images. The image acquired immediately after the flood showed the spread of turbid water over the paddy fields and the image acquired 1 month after the flood showed the paddy rice damage in the inundated areas. The flood damage assessment was undertaken using several multivariate analyses. (1) The correlation analysis revealed that the turbidity level of flood water was related to the rice damage. (2) The decrease of the ' rice yield was estimated from both images by multiple regression models. (3) The flood damage relationship was determined by a cluster analysis using the higher-order principal components of the multitemporal image. Based on the results of these analyses, distribution maps of the rice yield levels were estimated at each date and a classification of the flood damage pattern was obtained.

Original languageEnglish
Pages (from-to)503-514
Number of pages12
JournalInternational Journal of Remote Sensing
Volume9
Issue number3
DOIs
Publication statusPublished - 1988 Mar
Externally publishedYes

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Fingerprint

Dive into the research topics of 'Flood damage analysis using multitemporal Landsat Thematic Mapper data'. Together they form a unique fingerprint.

Cite this