Sandro Martinis
Sandro Martinis
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Sentinel-1-based flood mapping: a fully automated processing chain
A Twele, W Cao, S Plank, S Martinis
International Journal of Remote Sensing 37 (13), 2990-3004, 2016
Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data
S Martinis, A Twele, S Voigt
Natural Hazards and Earth System Sciences 9 (2), 303-314, 2009
A fully automated TerraSAR-X based flood service
S Martinis, J Kersten, A Twele
ISPRS Journal of Photogrammetry and Remote Sensing 104, 203-212, 2015
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network
M Wieland, Y Li, S Martinis
Remote Sensing of Environment 230, 111203, 2019
Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence
Y Li, S Martinis, M Wieland
ISPRS Journal of Photogrammetry and Remote Sensing 152, 178-191, 2019
Unsupervised extraction of flood-induced backscatter changes in SAR data using Markov image modeling on irregular graphs
S Martinis, A Twele, S Voigt
IEEE Transactions on Geoscience and Remote Sensing 49 (1), 251-263, 2010
Global land ice measurements from space
JS Kargel, GJ Leonard, MP Bishop, A Kääb, BH Raup
Springer, 2014
Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at River Saale, Germany
S Martinis, C Rieke
Remote Sensing 7 (6), 7732-7752, 2015
An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data
Y Li, S Martinis, S Plank, R Ludwig
International journal of applied earth observation and geoinformation 73 …, 2018
Comparing four operational SAR-based water and flood detection approaches
S Martinis, C Kuenzer, A Wendleder, J Huth, A Twele, A Roth, S Dech
International Journal of Remote Sensing 36 (13), 3519-3543, 2015
SAR-based detection of flooded vegetation–a review of characteristics and approaches
V Tsyganskaya, S Martinis, P Marzahn, R Ludwig
International journal of remote sensing 39 (8), 2255-2293, 2018
The use of Sentinel-1 time-series data to improve flood monitoring in arid areas
S Martinis, S Plank, K Ćwik
Remote Sensing 10 (4), 583, 2018
Detection of temporary flooded vegetation using Sentinel-1 time series data
V Tsyganskaya, S Martinis, P Marzahn, R Ludwig
Remote Sensing 10 (8), 1286, 2018
Landslide mapping in vegetated areas using change detection based on optical and polarimetric SAR data
S Plank, A Twele, S Martinis
Remote Sensing 8 (4), 307, 2016
A deep learning approach for burned area segmentation with Sentinel-2 data
L Knopp, M Wieland, M Rättich, S Martinis
Remote Sensing 12 (15), 2422, 2020
A multi-scale flood monitoring system based on fully automatic MODIS and TerraSAR-X processing chains
S Martinis, A Twele, C Strobl, J Kersten, E Stein
Remote Sensing 5 (11), 5598-5619, 2013
Urban flood mapping using SAR intensity and interferometric coherence via Bayesian network fusion
Y Li, S Martinis, M Wieland, S Schlaffer, R Natsuaki
Remote Sensing 11 (19), 2231, 2019
Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery
S Plank, M Jüssi, S Martinis, A Twele
International Journal of Remote Sensing 38 (13), 3831-3850, 2017
A modular processing chain for automated flood monitoring from multi-spectral satellite data
M Wieland, S Martinis
Remote Sensing 11 (19), 2330, 2019
A hierarchical spatio-temporal Markov model for improved flood mapping using multi-temporal X-band SAR data
S Martinis, A Twele
Remote Sensing 2 (9), 2240-2258, 2010
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