首页> 外文会议>International Symposium on Remote Sensing of Environment >SPECTRAL DISCRIMINATION AND REFLECTANCE PROPERTDZS OF VARIOUS VINE VARIETIES FROM SATELLITE, UAV AND PROXIMATE SENSORS
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SPECTRAL DISCRIMINATION AND REFLECTANCE PROPERTDZS OF VARIOUS VINE VARIETIES FROM SATELLITE, UAV AND PROXIMATE SENSORS

机译:卫星,无人机和附近传感器的各种藤品种的光谱鉴别与反射性能

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An assessment of the spectral discrimination between different vine varieties was undertaken using non-destructive remote sensing observations at the veraison period. During concurrent satellite, aerial and field campaigns, in-situ reflectance data were collected from a spectroradiometer, hyperspectral data were acquired from a UAV and multispectral data from a high-resolution satellite imaging sensor. Data were collected during a three years period (i.e, 2012, 2013 and 2014) over five wine-growing regions, covering more than lOOOha, in Greece. Data for more than twenty different vine varieties were processed and analysed. In particular, reflectance hyperspectral data from a spectroradiometer (GER 1500, Spectra Vista Corporation, 350-1050nm, 512 spectral bands) were calculated from the raw radiance values and then were correlated with the corresponding reflectance observations from the UAV and satellite data. Reflectance satellite data (WorldView-2, 400nm-1040nm, 8 spectral bands, DigitalGlobe), after the radiometric and atmospheric correction of the raw datasets, were classified towards the detection and the discrimination of the different vine varieties. The concurrent observations from in-situ hyperspectral, aerial hyperspectral and satellite multispectral data over the same vines were highly correlated. High correlations were, also, established for the same vine varieties (e.g., Syrah, Sauvignon Blanc) cultivated in different regions. The analysis of in-situ reflectance indicated that certain vine varieties, like Merlot, Sauvignon Blanc, Ksinomavro and Agiorgitiko possess specific spectral properties and detectable behaviour. These observations were, in most cases, in accordance with the classification results from the high resolution satellite data. In particular, Merlot and also Sauvignon Blanc were detected and discriminated with high accuracy rates. Surprisingly different clones from the same variety could be separated (e.g., clones of Syrah), while they were confused with other varieties (e.g., with Riesling).
机译:在Veraison期间使用非破坏性遥感观测进行了不同葡萄变量之间的光谱歧视的评估。在并发卫星期间,空中和场运动,从光谱辐射计采集原位反射数据,从高级卫星成像传感器从UAV和多光谱数据获取高光谱数据。在五年内收集数据(即2012年,2013年和2014)超过五个葡萄酒的地区,在希腊的覆盖范围内超过LoOOHA。处理并分析了20多个不同的藤品种的数据。特别地,来自Spectroradiometer(GER 1500,Spectra Vista Corporation,350-1050nm,512频带)的反射率高光谱数据由原始辐射值计算,然后与来自UAV和卫星数据的相应反射率观察相关。反射卫星数据(WorldView-2,400nm-1040nm,8个光谱带,digitalglobe),在原始数据集的辐射和大气校正之后,分为检测和辨别不同葡萄园的辨别。来自与相同葡萄藤相比,原位高光谱,鸟瞰高光谱和卫星多光谱数据的并发观测高度相关。同样,对于在不同地区培养的相同葡萄果(例如,Syrah,Sauvignon Blanc)的相同葡萄果(例如,Syrah,Sauvignon Blanc)建立了高的相关性。原位反射率分析表明,某些藤品种,如梅洛,Sauvignon Blanc,Ksinomavro和Agiorgitiko具有特异性光谱性能和可检测的行为。在大多数情况下,这些观察结果是根据高分辨率卫星数据的分类结果。特别是,以高精度率检测到梅花和索维尼顿Blanc。令人惊讶的是,来自相同品种的奇怪不同的克隆可以分离(例如,Syrah的克隆),而它们与其他品种混淆(例如,与riesling)混淆。

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