斜面崩壊ハザードマップ構築のための基礎的研究 Ⅱ--陸域観測技術衛星 (ALOS)データを用いた鹿児島県大隅地方の斜面崩壊地抽出事例

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タイトル別名
  • Fundamental Study on Construction of Hazard Map Causing by LandslideⅡ--A Case of the Identification of Landslide Area at Ohsumi District in Kagoshima Using the Advanced Land Observation Satellite (ALOS) Data
  • 斜面崩壊ハザードマップ構築のための基礎的研究(2)陸域観測技術衛星(ALOS)データを用いた鹿児島県大隅地方の斜面崩壊地抽出事例
  • シャメン ホウカイ ハザードマップ コウチク ノ タメ ノ キソテキ ケンキュウ(2)リクイキ カンソク ギジュツ エイセイ(ALOS)データ オ モチイタ カゴシマケン オオスミ チホウ ノ シャメン ホウカイチ チュウシュツ ジレイ

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説明

In recent years, the localized heavy rain of which the global warming may be a major reason has occurred frequently in several areas of Japan, especially the southern part of Kyusyu district. The huge landslide is caused by their heavy rains, so that the quest for evaluation and/or prediction of their effects over the mountainous area is a main concern for the protection of human life. This study therefore was conducted to develop an identification method for landslide by means of remote sensing technique. A high correlation coefficient for water contents in leaves was obtained from the normalized vegetation index (NDVI) described by the reflectance of red and near infrared (NIR). The water contents fluctuation (WCF) image developed by the ratio of different year NDVI images agreed well with the actual landslide. The result obtained in this study suggests that WCF image based on the data of Advanced Land Observation Satellite (ALOS) / Advanced Visible and Near Infrared Radiometer type2(AVNIR-2) can be successfully applied to identify the landslide.

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