CHARACTERIZATION OF LAND COVER SEASONALITY IN SENTINEL-1 TIME SERIES DATA

14 citations as recorded by crossref.

1. An Unsupervised Clustering Technique for Dual-Pol Sentinel-1 SLC and GRD SAR Data A. Verma et al. https://doi.org/10.1109/TGRS.2025.3589724
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3. Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency M. Zehner et al. https://doi.org/10.1109/TGRS.2023.3310113
4. Characterizing Spatial Variability of Soil Organic Carbon Through Improved Machine-Learning Modeling With In Situ Data Resampling: A Case Study in Alaska W. Peng et al. https://doi.org/10.1109/TGRS.2025.3572344
5. Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests K. Schellenberg et al. https://doi.org/10.3390/rs15041004
6. Characterizing Forest Species Seasonality Using Time Series of C-Band Sentinel-1 Backscattering Coefficient: A Case Study in the Spanish Central Range Z. Liu et al. https://doi.org/10.1109/JSTARS.2025.3604281
7. European Wide Forest Classification Based on Sentinel-1 Data A. Dostálová et al. https://doi.org/10.3390/rs13030337
8. Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors M. Kluczek & B. Zagajewski https://doi.org/10.1016/j.ecoinf.2025.103074
9. Sentinel-1 Backscatter Time Series for Characterization of Evapotranspiration Dynamics over Temperate Coniferous Forests M. Mueller et al. https://doi.org/10.3390/rs14246384
10. Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests S. van der Woude et al. https://doi.org/10.3390/rs16091553
11. Vast, overlooked peat, and organic soils in Brazil's Cerrado: carbon storage, dynamics, and stability L. Verona et al. https://doi.org/10.1111/nph.71027
12. Exploring the Relationship Between Time Series of Sentinel-1 Interferometric Coherence Data and Wild Edible Mushroom Yields in Mediterranean Forests R. Martínez-Rodrigo et al. https://doi.org/10.1007/s41651-024-00199-9
13. Spectral-temporal traits in Sentinel-1 C-band SAR and Sentinel-2 multispectral remote sensing time series for 61 tree species in Central Europe C. Schulz et al. https://doi.org/10.1016/j.rse.2024.114162
14. Seasonality and directionality effects on radar backscatter are key to identify mountain forest types with Sentinel-1 data I. Borlaf-Mena et al. https://doi.org/10.1016/j.rse.2023.113728