Proceedings of the Symposium on Global Environment
Online ISSN : 1884-8419
ISSN-L : 1347-510X
ESTIMATION OF MONTHLY LEAF AREA INDEX USING REMOTE SENSING DATA
Takashi ISHIIMakoto NASHIMOTOYoichi MIYANAGA
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1999 Volume 7 Pages 33-38

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Abstract
This study aims to apply Normalized Difference Vegetation Index (NDVI) for large scale mapping of leaf area index (LAI) using NOAA data. We collected satellite data of three seasons, climate data, vegetation data, and land use data. The main results are summarized as below.
(1) A comparison of monthly NDVI and leaf phenological phase for some forests was conducted to examine the applicability of the method using remote sensing data. Monthly NDVI was presented to demonstrate their utility for monitoring vegetation seasonal dynamics and unfolding periods by using warmer index (WI).
(2) Monthly LAI map in Japan was made on a threshold value and seasonal change of NDVI. The threshold value of NDVI should be modified by collecting and analyzing further data in the future.
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© by Japan Society of Civil Engineers
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