@article{oai:nias.repo.nii.ac.jp:00000753,
 author = {福田, 真也 and 石川, 大太郎 and 有満, 重徳 and 山口, 晃裕 and 韋, 江俊 and 大場, 和彦 and 石黒, 悦爾},
 journal = {長崎総合科学大学紀要, Bulletin of the Nagasaki Institute of Applied Science},
 month = {Aug},
 note = {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.},
 pages = {31--37},
 title = {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},
 volume = {54},
 year = {2014},
 yomi = {フクダ, シンヤ and イシカワ, ダイタロウ and アリミツ, シゲノリ and ヤマグチ, コウスケ and オオバ, カズヒコ and イシグロ, エツジ}
}