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Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain.

, , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)

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Improving the extraction of crisis information in the context of flood, landslide, and fire rapid mapping using SAR and optical remote sensing data., , , , , , , , , and . IGARSS, page 5781-5784. IEEE, (2016)Burn Scar Detection Using Polarimetric ALOS-2 Data., , and . IGARSS, page 4631-4634. IEEE, (2018)A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)An Adaptive and Extensible System for Satellite-Based, Large Scale Burnt Area Monitoring in Near-Real Time., , and . Remote. Sens., 12 (13): 2162 (2020)Potential and Challenges of Harmonizing 40 Years of AVHRR Data: The TIMELINE Experience, , , , , , , , , and 19 other author(s). Remote Sensing, 13 (18): 3618 (September 2021)Utilization of Hyperspectral Remote Sensing Imagery for Improving Burnt Area Mapping Accuracy., , and . Remote. Sens., 13 (24): 5029 (2021)Mapping burn scars, fire severity and soil erosion susceptibility in Southern France using multisensoral satellite data., , , , and . IGARSS, page 1099-1102. IEEE, (2017)Combining polarimetric sentinel-1 and ALOS-2/PALSAR-2 imagery for mapping of flooded vegetation., , , and . IGARSS, page 5705-5708. IEEE, (2017)25 years of satellite InSAR monitoring of ground instability and coastal geohazards in the archaeological site of Capo Colonna, Italy., , , , , , , , , and 1 other author(s). SAR, volume 10003 of SPIE Proceedings, page 100030Q. SPIE, (2016)A Fully Automatic Burnt Area Mapping Processor Based on AVHRR Imagery - A TIMELINE Thematic Processor., and . Remote Sensing, 10 (2): 341 (2018)