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SPOT VEGETATION multi temporal data for classifying vegetation in south central Asia

机译:SPOT VEGETATION多时相数据用于中亚南部植被分类

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Satellite remote sensing has enabled the acquisition of land use/land cover and vegetation information at different spatial and temporal scales. Vegetation instrument on-board Spot 4 satellite with four spectral bands - blue (0.43-0.47 mum), red (0.61-0.68 mum), infrared (0.78-0.89 mum) and short wave infrared (1.58-1.75 mum) at a spatial resolution of 1 km and temporal resolution of 1 day meets the requirement of vegetation mapping at a continental scale. This study focuses on the use of multitemporal SPOT VEGETATION data for vegetation mapping in south central Asia. The basis of classification is temporal dynamics, i.e. the pattern of change of Normalized Difference Vegetation Index (NDVI) values through a temporal domain which reflects the phenology of vegetation, crop cycle and the cropping system of agricultural practices. The temporal profile of NDVI facilitates the discrimination between different vegetation types and different types of cropping pattern.
机译:卫星遥感技术使得能够获取不同时空尺度的土地利用/土地覆盖和植被信息。卫星仪器上的Spot 4卫星具有四个光谱波段-空间分辨率为蓝色(0.43-0.47微米),红色(0.61-0.68微米),红外(0.78-0.89微米)和短波红外(1.58-1.75微米) 1 km的时间分辨率和1天的时间分辨率可以满足大陆范围的植被测绘要求。这项研究的重点是将多时相SPOT植被数据用于中亚南部的植被测绘。分类的基础是时间动态,即归一化植被指数(NDVI)值通过时域的变化模式,该时域反映了植被物候,作物周期和农业实践的种植系统。 NDVI的时间剖面有助于区分不同的植被类型和不同的耕作模式。

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