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Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation

机译:陆地植被温和监测植被指数的全球规模分析

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Vegetation indices have emerged as important tools in the seasonal and inter-annual monitoring of the Earth's vegetation. They are radiometric measures of the amount and condition of vegetation. In this study, the Sea-viewing Wide Field-of-View sensor (SeaWiFS) is used to investigate coarse resolution monitoring of vegetation with multiple indices. A 30-day series of SeaWiFS data, corrected for molecular scattering and absorption, was composited to cloud-free, single channel reflectance images. The normalized difference vegetation index (NDVI) and an optimized index, the enhanced vegetation index (EVI), were computed over various 'continental' regions. The EVI had a normal distribution of values over the continental set of biomes while the NDVI was skewed toward higher values and saturated over forested regions. The NDVI resembled the skewed distributions found in the red band while the EVI resembled the normal distributions found in the NIR band. The EVI minimized smoke contamination over extensive portions of the tropics. As a result, major biome types with continental regions were discriminable in both the EVI imagery and histograms, whereas smoke and saturation considerably degraded the NDVI histogram structure preventing reliable discrimination of biome types.
机译:植被指数已成为地球植被的季节性和年间监测中的重要工具。它们是植被数量和条件的辐射尺度措施。在这项研究中,海景广视场传感器(SeaWIFS)用于研究具有多个指标的植被的粗分辨率监测。为分子散射和吸收校正的30天系列SeaWIFS数据,被复制到无云,单通道反射图像。归一化差异植被指数(NDVI)和优化指数,增强植被指数(EVI),在各种“大陆区”。 EVI在大陆套生物群中具有正常的值,而NDVI倾斜朝向更高的值并饱和在森林区域上。 NDVI类似于红频带中发现的偏斜分布,而EVI类似于NIR频段中的正常分布。 EVI在热带地区的广泛部分地区最小化烟雾污染。结果,在EVI图像和直方图中,具有大陆区的主要生物群系类型,而烟雾和饱和度显着降低了NDVI直方图结构,防止了生物血液系列类型的可靠辨别。

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