JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
Online ISSN : 1349-2853
Print ISSN : 0915-1389
ISSN-L : 0915-1389
Estimation of Leaf Area Index Using Remote Sensing Data
Takashi ISHIIMakoto NASHIMOTOHisashi SHIMOGAKI
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1999 Volume 12 Issue 3 Pages 210-220

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Abstract
Estimation of Leaf Area Index (LAI) based on satellite data was examined to observe the amounts of forest leaf. The main results are summarized as below.(1) Comparison with Normalized Differential Vegetation Index (NDVI) based on the satellite data and LAI based on indirect method shows good relationship for broad range of LAI.(2) The LAI map in Japan estimated from NOAA data shows good agreement with literature data for several forest types. This LAI map has the highest resolution (1-km) in Japan. From the above results, it was found that the indirect measurement is applicable to the observation of LAI, and LAI estimation using satellite data is reliable as compared with literature data.
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© Japan Society of Hydrology and Water Resources
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