• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Effect of different middle resolution satellite image on forestry resource assessment

Research Project

Project/Area Number 21880035
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Forest science
Research InstitutionKyushu University

Principal Investigator

KAJLSA Tsuyoshi  九州大学, 農学研究院, 学術研究員 (60538247)

Project Period (FY) 2009 – 2010
Project Status Completed (Fiscal Year 2010)
Budget Amount *help
¥2,483,000 (Direct Cost: ¥1,910,000、Indirect Cost: ¥573,000)
Fiscal Year 2010: ¥1,053,000 (Direct Cost: ¥810,000、Indirect Cost: ¥243,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords森林 / リモートセンシング
Research Abstract

The objective of this research is to evaluate how different the different spatial resolution satellite data affect the accuracy of getting the forest stand structure information(forest or nonforest, forest type classification, and stand volume estimation). The finer forest stand structure information is required, the worse accuracy of classification and estimation. The finer spatial resolution of satellite images was used for getting stand structure information, the better accuracy.

Report

(3 results)
  • 2010 Annual Research Report   Final Research Report ( PDF )
  • 2009 Annual Research Report
  • Research Products

    (2 results)

All 2009

All Presentation (2 results)

  • [Presentation] 森林資源モニタリング調査データと中分解能衛星データによる森林分布の把握一福岡県を対象に一2009

    • Author(s)
      加治佐剛・溝上展也・北原文章・吉田茂二郎
    • Organizer
      第65回日本森林学会九州支部研究発表会
    • Place of Presentation
      九州大学
    • Year and Date
      2009-10-17
    • Related Report
      2010 Final Research Report
  • [Presentation] 森林資源モニタリング調査データと中分解能衛星データによる森林分布の把握 -福岡県を対象に-2009

    • Author(s)
      加治佐剛, ら
    • Organizer
      日本森林学会九州支部研究発表会
    • Place of Presentation
      九州大学
    • Year and Date
      2009-10-17
    • Related Report
      2009 Annual Research Report

URL: 

Published: 2009-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi