Scholarlink

<p>This study targeted the area surrounding Murakami City, Niigata Prefecture, Japan, which was the site of extensive sediment outflows due to heavy rainfall in August 2022. Specifically, the mudslide scar was estimated by calculating NDVI difference values (ΔNDVI) for four types of optical satellite data with different spatial resolutions. This study was carried out to support the work of engineers of government agencies in the early extraction of landslide sites after heavy rainfall by using optical satellite data. This study presented a set of ΔNDVI thresholds with high extraction accuracy at different spatial resolutions that were unexplored in similar studies. The data was extracted over a wide area and the effects of differences in spatial resolution on the applicability of the extraction method and the extraction rate were clarified. Selecting a spatial resolution that matches the area of the mudslide scar in the target area is considered to be effective. The two high-resolution satellite systems (Pleiades and SPOT) extracted approximately 50% of the total actual mudslide scar, and the two medium-resolution satellite systems (i.e., Planet and Sentinel-2) were able to extract about 70 % to 80 %.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Impact of different spatial resolutions of four types of optical satellite data on the applicability and extraction rate of a mudslide scar estimation method based on differential NDVI analysis

  • 期刊论文

  • 发表日期：

    2025年1月11日

查看全文
  • Akita Hiromi,
  • Habura Borjigin,
  • Taguchi Hitoshi

摘要

This study targeted the area surrounding Murakami City, Niigata Prefecture, Japan, which was the site of extensive sediment outflows due to heavy rainfall in August 2022. Specifically, the mudslide scar was estimated by calculating NDVI difference values (ΔNDVI) for four types of optical satellite data with different spatial resolutions. This study was carried out to support the work of engineers of government agencies in the early extraction of landslide sites after heavy rainfall by using optical satellite data. This study presented a set of ΔNDVI thresholds with high extraction accuracy at different spatial resolutions that were unexplored in similar studies. The data was extracted over a wide area and the effects of differences in spatial resolution on the applicability of the extraction method and the extraction rate were clarified. Selecting a spatial resolution that matches the area of the mudslide scar in the target area is considered to be effective. The two high-resolution satellite systems (Pleiades and SPOT) extracted approximately 50% of the total actual mudslide scar, and the two medium-resolution satellite systems (i.e., Planet and Sentinel-2) were able to extract about 70 % to 80 %.