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首页> 外文会议>9th International Space Conference of Pacific Basin Societies, Nov 14-16, 2001, Pasadena, California, U.S.A. >VEGETATION ANALYSIS USING LEAF WATER CONTENT INDEX (LWCI) CALCULATED FROM SPOT/VEGETATION DATA
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VEGETATION ANALYSIS USING LEAF WATER CONTENT INDEX (LWCI) CALCULATED FROM SPOT/VEGETATION DATA

机译：利用点/植被数据计算得出的叶水含量指数（LWCI）进行植被分析

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摘要

Leaf Water Content Index (LWCI) was proposed by Hunt et al (1987). At the beginning we tried and succeeded to develop this index for the practical application to the satellite remote sensing data such as Landsat TM. Next we performed vegetation monitoring using LWCI by SPOT/Vegetation and we got the same results. LWCI is not susceptible to influences from the atmospheric noise such as the haze and smoke, which are caused very often by fires or climatic conditions in the tropics, because it utilizes longer wavelength bands, SWIR (1.58-1.75μm) and NIR (0.79-0.89μm) than NDVI. This time we applied LWCI to the one-year time series of SPOT/Vegetation 10 days composite data that were processed in advance to exclude the influences of clouds (Sawada, 2001). We tried to compare the seasonal change profiles of LWCI between the tropical agricultural lands (Thailand) and the temperate agricultural lands (Japan) in addition to the forest zone. The seasonal change profiles of NDVI were created simultaneously and also compared. As a result, despite the influence of the snow in the case of Japanese winter season, both tropical and temperate evergreen forests in non-winter season showed a relatively similar trend. As for the temperate deciduous forest, such evident time lag that is seen in the tropical deciduous forest was not observed. It was found for the first time that the seasonal change of LWCI could be observed even in the agricultural areas (paddy fields, upland farming fields, grassland), however, in both tropical and temperate zones the time lag between LWCI and NDVI profile was hardly observed. This fact seems to indicate that in the plant phenology of the temperate, zone like Japan the moisture candition doea not play more, important role than that of the tropical zone. Rather the cumulative temperature or photoperiod affects the plant phenology.
机译：叶片水分含量指数（LWCI）由Hunt等人（1987）提出。最初，我们尝试并成功开发了该索引，以将其实际应用到Landsat TM等卫星遥感数据。接下来，我们通过SPOT / Vegetation使用LWCI进行了植被监测，得到了相同的结果。 LWCI不受大气噪声（例如雾霾和烟雾）的影响，这通常是由热带地区的火灾或气候条件引起的，因为它使用更长的波段，SWIR（1.58-1.75μm）和NIR（0.79-比NDVI高0.89μm）。这次我们将LWCI应用于SPOT /植被10天复合数据的一年时间序列，这些数据经过事先处理以排除云的影响（Sawada，2001）。我们试图比较除森林区以外的热带农业用地（泰国）和温带农业用地（日本）之间的低周指数的季节性变化特征。同时创建并比较了NDVI的季节变化曲线。结果，尽管在日本冬季受到降雪的影响，但非冬季的热带和温带常绿森林都呈现出相对相似的趋势。至于温带落叶林，没有观察到热带落叶林中明显的时间滞后。首次发现即使在农业地区（稻田，高地农田，草地）也可以观察到LWCI的季节变化，但是，在热带和温带地区，LWCI和NDVI曲线之间的时间差几乎没有观测到的。这一事实似乎表明，在像日本这样的温带地区的植物物候中，水分的候选条件没有比热带地区发挥更大，重要的作用。相反，累积温度或光周期会影响植物物候。

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