Studies on regional difference for thermal influence about forest
Project/Area Number |
02304026
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Research Category |
Grant-in-Aid for Co-operative Research (A)
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Allocation Type | Single-year Grants |
Research Field |
農業気象・生物環境制御学
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Research Institution | Hokkaido Univeristy |
Principal Investigator |
HORIGUCHI Ikuo Hokkaido University, Faculty of Agriculture, Professor, 農学部, 教授 (10001439)
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Co-Investigator(Kenkyū-buntansha) |
MATUMURA Shinji kagawa University, Faculty of Agriculture, Instructor, 農学部, 助手 (60165868)
SUZUKI Haruo Kagawa University, Faculty of Agriculture, Associate Professor, 農学部, 助教授 (00036089)
SUZUKI Yosinori Yamaguchi University, Faculty of Agriculture, Professor, 農学部, 教授 (70081495)
KON Hisasi Chiba University, Faculty of Horticulture, Associate Professor, 園芸学部, 助教授 (60153706)
NAKAYAMA Kiichi Chiba University, Faculty of Horticulture, Professor, 園芸学部, 教授 (90009697)
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Project Period (FY) |
1990 – 1991
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Project Status |
Completed (Fiscal Year 1991)
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Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 1991: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1990: ¥2,400,000 (Direct Cost: ¥2,400,000)
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Keywords | FOREST / THERMAL INFLUENCE / SURFACE TEMPERATURE / SATELLITE DATA / LAND-USE / FORECAST OF CHANGING / MESH DATA / MULTI-REGRESSION ANALYSIS |
Research Abstract |
The purpose of this study is the regional difference for thermal influence of deforestation usig satellite data. The analyses are performed as follows ; 1) the relationship between land-use and surface temperature are calculated using Landsat TM data, 2) multi-regression equations between the rate of land-use for 1x1 km mesh and mean surface temperature for 1x1 km mesh are calculated. the equations express estimation of surface temparture, when land-use change, 3) standard multi-regression equations are calculated for comparison between the regional difference of deforestation. Landsat TM data are used for the analysis about Hokkaido (Tomaikomai, Sarobetu), Kantou (Fukusa), Sikoku (Kouchi) and Kyuushuu (Aso). The results are obtained that 1) the estimated surface temperature is the lowest on forest and the highest on city areas, 2) standard regression coefficients are constant for Kantou (Fukusa) and Sikoku (Kouchi) through all data but Hokkaido (Sarobetu). We recognized that thermal influence of deforestation is able to compare usig standard regression coefficients. Tlie range of standard regression coeficient is Tomakomai, Kouchi and Fukusa.
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Report
(3 results)
Research Products
(6 results)