Development of global applied Algorithm for Forest Canopy Density Estimation from Satellite RS Data

Research Project

Project/Area Number	16560459
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Single-year Grants
Section	一般
Research Field	交通工学・国土計画
Research Institution	Nagaoka University of Technology
Principal Investigator	RIKIMARU Atsushi Nagaoka University of Technology, Associate Professor, 工学部, 助教授 (70334688)
Co-Investigator(Kenkyū-buntansha)	TAKAHASHI Kazuyoshi Nagaoka University of Technology, Assistant, 工学部, 助手 (00332651) 向井幸男長岡技術科学大学, 工学部, 教授 (40324008)
Project Period (FY)	2004 – 2005
Project Status	Completed (Fiscal Year 2005)
Budget Amount *help	¥2,500,000 (Direct Cost: ¥2,500,000) Fiscal Year 2005: ¥800,000 (Direct Cost: ¥800,000) Fiscal Year 2004: ¥1,700,000 (Direct Cost: ¥1,700,000)
Keywords	Remote Sensing / Forest resources / global / MODIS / LANDSAT / Forest Canopy Density
Research Abstract	In global forest-resources observation, use of wide area high frequency orbiting satellites, such as NOAA, VEGETATION, and MODIS, is considered to be indispensable from observation specifications and economical efficiency. For the previous type of earth observation satellite data, such as LANDAST-TM, the model for estimation of forest canopy density is already developed by Rikimaru. Moreover, the land cover mapping of sub-pixel analysis for forest area are proposed by Susaki and Takeuch, using MODIS and NOAA data. However, ordinary presumption model of sub-pixel analysis estimate average density value of the forest area. For this reason, it is hard to attach distinction the case where a high-density forest is distributed sparsely, and in case a low density forest is distributed over the whole region. In this research, in order to re-examine the qualitative reliability of the covering information in sub-pixel of MODIS data, comparison examination of the analysis result of a LANDSAT satellite imagery and a MODIS satellite imagery was performed.