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  1. SSMSパブリケーション
  2. Vol.09

Evaluation of natural environment using GIS for important plants (to survive in disasters)

http://hdl.handle.net/10173/1251
http://hdl.handle.net/10173/1251
dfa760db-df0d-4078-8b55-285c75a8fb34
名前 / ファイル ライセンス アクション
sms13-6716.pdf sms13-6716.pdf (2.5 MB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2015-02-28
タイトル
タイトル Evaluation of natural environment using GIS for important plants (to survive in disasters)
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 TAKAHASHI, Yuta

× TAKAHASHI, Yuta

WEKO 3346

TAKAHASHI, Yuta

Search repository
TAKAGI, Masataka

× TAKAGI, Masataka

WEKO 3347

TAKAGI, Masataka

Search repository
WATANABE, Takashi

× WATANABE, Takashi

WEKO 3348

WATANABE, Takashi

Search repository
MURAI, Ryosuke

× MURAI, Ryosuke

WEKO 3349

MURAI, Ryosuke

Search repository
抄録
内容記述タイプ Abstract
内容記述 Earthquakes are frequently occurred in Japan. Furthermore Japan has predict a huge
earthquake in the next 30 years. For this reason, the important plants will be a big role to survive in disasters.
Lupines (Local Useful Plants with Intelligent Networks of Exploring Surface) has been developed by
Research Organization for Regional Alliances in Kochi University of Technology in 2011. Lupines is a
database for vegetation resource which has collected various data of vegetation. Therefore, growth
environment of the important plants will be evaluated by GIS using Lupines. Generally, the important plants
inhabit often in forest road and footpath around farmland. This study aimed to use field survey data and
reference data which clarified habitat characteristics of important plants. Used reference data are categorized
topography, meteorology and land surface. Mountain village map was created by spatial analysis using land
cover classification. Field survey data was important data for integrating Lupines was evaluated with the
reference data. Habitat suitable land of important plants was selected from characteristics of habitat of each
important plant. The proposed approach could be accurate that the field survey data were increased in the
future. Incidentally, reference data were insufficient, therefore the global solar radiation data of forest area
could be prepared in future.
書誌情報 Society for Social Management Systems Internet Journal

巻 9, 発行日 2014-12
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Society for Social Management Systems
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