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Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 tim ... 1 1 Introduction 1 2 Study area 3 3 Data and methods 4 3.1 Preprocessing of Sentinel-2 data 4 3.2 Spectral library development 5 3.3 Regression-based unmixing 5 3.3.1 Generation of synthetic training data 6 3.3.2 Support vector regression modeling 6 3.4 Validation of fractional cover time series 6 3.5 Assessment of drought stress 6 3.5.1 Normalized Difference Fraction Index time series and metrics 6 3.5.2 NDVI time series 7 3.5.3 Meteorological drought indices 7 3.5.4 Soil type data 7 4 Results 8 4.1 Validation of Sentinel-2 fractional cover estimates 8 4.2 Fractional cover time series from Sentinel-2 8 4.3 Seasonal drought impacts on grassland vegetation 8 4.4 NDFI-based drought metrics 9 5 Discussion 11 5.1 PV, NPV, and soil fractional cover time series from Sentinel-2 11 5.2 Seasonal drought impacts on grasslands based on NDFI time series 14 5.3 Spatial patterns of grassland drought 15 5.4 Transferability of regression-based unmixing for drought analysis 15 6 Conclusions 16 Declaration of Competing Interest 16 Acknowledgements 16 Appendix A Supplementar
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It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Language
- EN
- Category
- nonfiction
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