Estimation of LAI in the forested watershed using ASTER data based on Price’s model in summer and winter |
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Authors: | Yonghee Shin Masahiro Seguchi Masumi Koriyama and Alim Isnansetyo |
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Institution: | (1) The United Graduate School of Agricultural Science, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-0065, Japan;(2) Faculty of Agriculture, Saga University, Honjo-machi 1, Saga 840-8502, Japan;(3) Present address: Ariake Research Project, Saga University, Honjo-machi 1, Saga 840-8502, Japan;(4) Department of Fisheries, Faculty of Agriculture, Gadjah Mada University, Jl. Flora, Bulaksumur, Yogyakarta, 55182, Indonesia |
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Abstract: | Leaf area index (LAI) is an important parameter to identify the water balance in forested watershed as a biological factor
influencing directly on the evapotranspiration in the forest area. The purpose of this study was to estimate the LAI in a
small forested watershed in summer and winter by applying the Terra/Advanced Spaceborne Thermal Emission and Reflection Radiometer
(ASTER) data to the LAI estimation method. In this study, the estimation was based on the absorption and scattering processes
of the solar radiation in the vegetation canopy and the spectral reflectance characteristics of soil vegetation. First, we
estimated LAI based on Price’s model by application of ASTER data on the forested watershed located in the Tenzan Mountains
of Saga, Japan. To validate the results of LAI estimation, secondly, we compared them to the measured LAI obtained by a plant
canopy analyzer (LAI-2000) on the observation area inside the target region. This study showed that the LAI estimation method
was a feasible and accurate method as indicated by the high relationship (r = 0.97) between LAI derived from ASTER data and LAI measured by LAI-2000. This paper is the first report on LAI estimation
using Terra/ASTER data based on Price’s model and field investigation. This LAI estimation method is a reliable and applicable
method. |
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