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2021
Zare, M., Schumann, G.J.-P.; Teferle, F.N., Mansorian, R. (2021). Generating Flood Hazard Maps Based on an Innovative Spatial Interpolation Methodology for Precipitation Schumann, G., Giustarini, L., Zare, M., Gaffinet, B. (2021). Call to action: Pushing scientific and technological innovation to develop an efficient AI flood mapper for operational SAR satellites Bruscolini, M., Suttor, B., Giustarini, L., Zare, M., Gaffinet, B., Schumann, G. (2021). Drone services for plant water-status mapping . Zare, M., Schumann, G. (2021). Emerging Techniques in Machine Learning for Processing Satellite Images of Floods Schumann, G. (2021). Earth Observation for Flood Applications: Progress and Perspectives Mateo-Garcia, G., Veitch-Michaelis, J., Smith, L. et al. (2021) Towards global flood mapping onboard low cost satellites with machine learning Zare, M., Koch, M. (2021). Hybrid signal processing/machine learning and PSO optimization model for conjunctive management of surface–groundwater resources Jafari, M.M., Ojaghlou, H., Zare, M., Schumann, G. (2021). Application of a Novel Hybrid Wavelet-ANFIS/Fuzzy C-Means Clustering Model to Predict Groundwater Fluctuations Dasgupta, A., Hostache, R., Ramsankaran, R., Schumann, G., Grimaldi, S., Pauwels, V. RN., Walker, J.P. (2021). On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance Zare, M., Schumann, G., Teferle, N., Giustarini, L. (2021). Introducing an Innovative Spatial Interpolation Methodology for Precipitation Dasgupta, A., Hostache, R., Ramsankaran, R., Shumann, Grimaldi, S., Pauwels, V. RN., Walker, J.P. (2021). A Mutual Information-Based Likelihood Function for Particle Filter Flood Extent Assimilation Bates, P.D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage, J., Olcese, G., Neal, J., Schumann, G., Giustarini, L., Coxon, G. et al. (2021). Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates Mazzoglio, P., Ajmar, A., Schumann, G., Balbo, S., Boccardo, P., Perez, F., Borgogno-Mondino, E. (2021). Satellite-Based Approaches in the Detection and Monitoring of Selected Hydrometeorological Disasters Kettner, A.J., Brakenridge, G.R., Schumann, G., Shen, X., (2021). DFO—Flood Observatory Schumann, G. (2021). The Full Potential of EO for Flood Applications: Managing Expectations Alfieri, L., Cohen, S., Galantowicz, J., Schumann, G., et al. (2021). The Global Flood Partnership .
2020
Zare, M., Schumann, G., Teferle, F. N., Matgen, P., and Bates, P. D.. Presenting hydrological and data driven flood simulation-prediction methods to develop a decision-making model Mansorian, R., Zare, M., Schumann, G. (2020). Study on the correlation between meteorological and agricultural drought, based on remotely sensed indices Zare, M., Drastig, K., Zude-Sasse, M., (2020). Tree Water Status in Apple Orchards Measured by Means of Land Surface Temperature and Vegetation Index (LST–NDVI) Trapezoidal Space Derived from Landsat 8 Satellite Images Backes, D., Teferle, N., Schumann, G. (2020). Building a Multimodal topographic dataset for flood hazard modelling and other geoscience applications Grundmann, P., Reyhani, M N., Libra, J., Horlemann, L., Kraatz, S., Zamani, O., Zare, M. (2020). Participatory Development of Strategies for the Transformation of Agriculture in the Zayandeh Rud River Basin . Kettner, A., Schumann, G., Brakenridge, R., Adler, B., Policelli, F., et al. (2020). Dissemination of modeled and satellite derived flood products: Global coverage to support local needs Dasgupta, A., Hostache, R., Ramsankaran, R., Schumann, G., Grimaldi, et al. (2020). Optimizing SAR-based Flood Extent Assimilation for Improved Flood Inundation Forecasts Schumann, G., Glasscoe, M., Bausch, D., Pierce, M., Wang, J., Chen, Z., et al. (2020). Using a model-of-models approach and remote sensing technologies to improve flood disaster alerting Laurence, H., Neal, J., Tellman, B., Liang, J., Schumann, G., et al. (2020). Comparing earth observation and inundation models to map flood hazards
