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The detection of different vegetation classes especially in the context of biological diversity is one of the most frequently addressed topics in remote sensing studies. With the increasing availability of multi-temporal remote sensing information at high spatial resolution from Sensors such as RapidEye or future Sentinel-2, the phenological variability of vegetation classes can be exploited in more...
The presented study aims at developing methods of a seasonal correction with the help of phenological observations of the German Weather Service (Deutscher Wetterdienst) and spectral field measurements for classifying grassland habitats. Therefore, spectral measurements were taken between 2007 and 2010 in a study heathland area of 60 km². These measurements were phenological corrected by a long-term...
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