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Disambiguation of "Martinis, Sandro"

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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)

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Sandro Martinis

Mario Martinis

Sandro Valle

(_1hn1_1hn2_1hn3I)-ADAM und (_1hn9_1hn9_1hnmTc)-TRODAT-1: szintigraphische In-vivo-Darstellung der serotonergen und dopaminergen Transportersysteme anhand von Micro-SPECT im ZNS von Ratten. Uni München, (2009)

Jutta Martinis-Lachnit

Sandro Wefel

 

Other publications of authors with the same name

Time series analysis of multi-frequency SAR backscatter and bistatic coherence in the context of flood mapping., , and . MultiTemp, page 1-4. IEEE, (2015)Improving flood mapping in arid areas using SENTINEL-1 time series data.. IGARSS, page 193-196. IEEE, (2017)Automatic SAR-based flood detection using hierarchical tile-ranking thresholding and fuzzy logic., , and . IGARSS, page 5697-5700. IEEE, (2017)Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service., , , , , , , , , and 1 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Extrapolating Satellite-Based Flood Masks by One-Class Classification - A Test Case in Houston., , , , and . Remote. Sens., 13 (11): 2042 (2021)Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion., , , , and . Remote. Sens., 11 (19): 2231 (2019)Automatic oil spill detection in TerraSAR-X data using multi-contextual Markov modeling on irregular graphs.. IPTA, page 43-46. IEEE, (2012)A multi-scale Markov model for unsupervised oil spill detection in TerraSAR-X data., , and . IGARSS, page 923-926. IEEE, (2012)DLR'S Contributions to Emergency Response within the International Charter 'Space and Major Disasters'., , , , , , , and . IGARSS, page 6540-6543. IEEE, (2018)Comparing four operational SAR-based water and flood detection approaches, , , , , , and . International Journal of Remote Sensing, 36 (13): 3519-3543 (2015)