PROBA-V time series for monitoring vegetation dynamics and snow cover
(2016) PROBA-V symposium — Location: Ghent, Belgium (26.January.2016)
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- Abstract
- Vegetation phenology monitoring by remote sensing is of crucial importance for understanding ecosystem behavior. Animals and plant are affected by vegetation phenology which reflects effects of climate change or meteorological extreme events. In this study, we focus on the integration of PROBA-V data to continue the SPOT-VGT time series. In the frame of the European infrastructure Lifewatch, our goal is to provide information about ecosystem dynamics to researchers. Phenology is therefore important because it has a strong impact on animal behavior, and it has been linked to changes in geographical distribution of animal species over time. Since PROBA-V has acquired the possibility to get data in the north of Europe during winter, it becomes interesting to analyze the snow classification of PROBA-V for two main reasons. First, data from the northern regions are crucial to monitor anomalies of snow and their effects over populations. Second, PROBA-V has a higher spatial resolution than MODIS even if the latter has a good overall snow classification.
- Affiliations
Citations
Radoux, J., Hawotte, F., Lamarche, C., De Maet, T., & Defourny, P. (2016). PROBA-V time series for monitoring vegetation dynamics and snow cover. PROBA-V symposium, Ghent, Belgium. https://hdl.handle.net/2078.5/44122