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2011 Fiscal Year Final Research Report

The risk management system by using local forest prediction model based on remote sensing

Research Project

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Project/Area Number 21580176
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Forest science
Research InstitutionThe University of Tokyo

Principal Investigator

SHIRAISHI Norihiko  東京大学, 大学院・農学生命科学研究科, 教授 (50292793)

Co-Investigator(Kenkyū-buntansha) HIROSHIMA Takuya  東京大学, 大学院・農学生命科学研究科, 講師 (40302591)
TATSUHARA Satoshi  東京大学, 大学院・農学生命科学研究科, 准教授 (40227103)
TSUYUKI Satoshi  東京大学, 大学院・農学生命科学研究科, 准教授 (90217381)
MATSUMURA Naoto  三重大学, 生物資源学研究科, 教授 (30332711)
Project Period (FY) 2009 – 2011
Keywords地理情報システム / 風害 / シミュレーション / 施業計画
Research Abstract

Wind damage of coniferous plantation forests was studied in Japan. Wind conditions determined using an air flow simulation model and remote sensing measurement were integrated within a Geographic Information System(GIS). Based on the data set, the relationships between wind disturbances, wind speed and stand height were analyzed. The results indicate that higher wind speeds and greater stand heights increase the probability of wind disturbance plantation forests. Finally, we analyzed differences in wind hazard risk among harvesting strategies. This study demonstrated that it is possible to obtain spatial-temporal sustainable forest management strategies to improve the supply of timber on a regular, quantitative basis

  • Research Products

    (3 results)

All 2011 Other

All Journal Article (3 results)

  • [Journal Article] Calculation of yields on a national level by combining yields of each prefecture using the Gentan probability2011

    • Author(s)
      Hiroshima T
    • Journal Title

      Journal of Forest Research

      Volume: 16 Pages: 98-107

  • [Journal Article] Nationwide yield prediction by adding up yields of prefectures2011

    • Author(s)
      Hiroshima T
    • Journal Title

      Special issue of Jornal of Forest Planning

      Pages: 199-205

  • [Journal Article] スギ人工林におけるLiDAR取得データによる立木成長量の推定

    • Author(s)
      三次充和・塚越剛史・広嶋卓也・中島徹・露木聡
    • Journal Title

      関東森林研究

      Volume: (印刷中)

URL: 

Published: 2013-07-31   Modified: 2014-09-09  

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