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首页> 外文期刊>International journal of remote sensing >Monitoring Leaf Area Index of Mediterranean oak woodlands: comparison of remotely-sensed estimates with simulations from an ecological process-based model
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Monitoring Leaf Area Index of Mediterranean oak woodlands: comparison of remotely-sensed estimates with simulations from an ecological process-based model

机译:监测地中海橡木林地的叶面积指数:将遥感估算值与基于生态过程的模型的模拟进行比较

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摘要

Annual vegetation abundance mapping was carried out within the DeMon II European project over a period of 12 years (1984-1996). The project relied on advanced satellite-based methods for spatial and temporal monitoring of Mediterranean oak woodlands by means of a series of Landsat Thematic Mapper (TM) satellite data. A standardized approach developed previously focuses on the Languedoc site, Hautes Garrigues, a typical sensitive Mediterranean region, but now recovering after centuries of grazing and agricultural activities. After geometric and radiometric rectification of nine full Landsat TM scenes with a refined correction in a smaller area of 75 km x 75 km, a GIS database was created containing satellite data, thematic maps of vegetation, geological maps, climatic data and field measurements. An empirical relation between radio-metric ground truth measurements and satellite derived Normalized Difference Vegetation Index (NDVI) allows us to derive Leaf Area Index (LAI). An ecological process-based model (Forest BGC) has been adapted to simulate ecosystem processes in a satisfying way at a local scale. Consistent results were obtained from remote sensing data and from simulations at a local scale, suggesting the possible use of remote-sensing data to monitor vegetation abundance changes at a regional scale. Without considering human disturbances, it can be noted that not much variation of LAI induced by natural factors can be detected over the considered 12-year period.
机译:在DeMon II欧洲项目中进行了为期12年(1984-1996年)的年度植被丰度测绘。该项目依靠先进的基于卫星的方法,通过一系列Landsat Thematic Mapper(TM)卫星数据对地中海橡树林地进行时空监测。以前开发的一种标准化方法着眼于朗格多克遗址,典型的地中海敏感地区上特加里格斯(Hauts Garrigues),但如今经过数百年的放牧和农业活动后才得以恢复。经过在75 km x 75 km的较小区域对9个完整Landsat TM场景进行几何和辐射校正后,进行了精细校正,之后创建了一个GIS数据库,其中包含卫星数据,植被专题图,地质图,气候数据和野外测量。辐射度地面真实测量值与卫星得出的归一化植被指数(NDVI)之间的经验关系使我们能够得出叶面积指数(LAI)。基于生态过程的模型(Forest BGC)已被改编为以令人满意的方式在局部规模上模拟生态系统过程。从遥感数据和地方尺度的模拟获得一致的结果,表明可能使用遥感数据监测区域尺度的植被丰度变化。在不考虑人为干扰的情况下,应注意的是,在考虑的12年期间内,无法检测到自然因素引起的LAI的很大变化。

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