2021

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• 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. Atmosphere, 12, 1336. DOI:10.3390/atmos12101336
• 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. EGU General Assembly Conference
• Bruscolini, M., Suttor, B., Giustarini, L., Zare, M., Gaffinet, B., Schumann, G. (2021). Drone services for plant water-status mapping. IGARSS21, Brussels
• Zare, M., Schumann, G. (2021). Emerging Techniques in Machine Learning for Processing Satellite Images of Floods. Editor(s): Guy J-P. Schumann, In: Earth Observation for Flood Applications (Chapter 15), Elsevier, 321-336, DOI:10.1016/B978-0-12-819412-6.00015-8
• Schumann, G. (2021). Earth Observation for Flood Applications: Progress and Perspectives. Editor(s): Guy J-P. Schumann, In: Earth Observation for Flood Applications (Chapter 1). Elsevier, 3-6. DOI:10.1016/B978-0-12-819412-6.00001-8
• Mateo-Garcia, G., Veitch-Michaelis, J., Smith, L. et al. (2021) Towards global flood mapping onboard low cost satellites with machine learning. Sci Rep 11, 7249. DOI:10.1038/s41598-021-86650-z
• Zare, M., Koch, M. (2021). Hybrid signal processing/machine learning and PSO optimization model for conjunctive management of surface–groundwater resources. Neural Computing and Applications, Springer. DOI:10.1007/s00521-020-05553-8
• 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. Atmosphere 2021, 12, 9. DOI:10.3390/atmos12010009
• 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. Water Resources Research, 52, 2. DOI:10.1029/2020WR028238
• Zare, M., Schumann, G., Teferle, N., Giustarini, L. (2021). Introducing an Innovative Spatial Interpolation Methodology for Precipitation. Authorea. May 06, 2021. DOI:10.22541/au.162030785.55314172/v1. Submitted to Hydrological Processes  
• 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. Water Resources Research, 57, 2. DOI:10.1029/2020WR027859
• 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. Water Resources Research, 57, 2. DOI:10.1029/2020WR028673
• 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. In: Nhamo G., Chapungu L. (eds) The Increasing Risk of Floods and Tornadoes in Southern Africa. Sustainable Development Goals Series. Springer, Cham. DOI:10.1007/978-3-030-74192-1_2
• Kettner, A.J., Brakenridge, G.R., Schumann, G., Shen, X., (2021). DFO—Flood Observatory. In: Earth Observation for Flood Applications (Chapter 7). Elsevier, 147-164. DOI:10.1016/B978-0-12-819412-6.00007-9
• Schumann, G. (2021). The Full Potential of EO for Flood Applications: Managing Expectations. Editor(s): Guy J-P. Schumann, In: Earth Observation for Flood Applications (Chapter 14). Elsevier, 3-6. DOI:10.1016/B978-0-12-819412-6.00014-6
• Alfieri, L., Cohen, S., Galantowicz, J., Schumann, G., et al. (2021). The Global Flood Partnership. In: American Geophysical Union Monograph: Global drought and flood. Wiley. (In press)

2020

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• 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. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13319. DOI:10.5194/egusphere-egu2020-13319, 2020
• Mansorian, R., Zare, M., Schumann, G. (2020). Study on the correlation between meteorological and agricultural drought, based on remotely sensed indices. EGU General Assembly, online 4-8 May, 2020
• 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. Sustainability, 12. DOI:10.3390/su12010070
• Backes, D., Teferle, N., Schumann, G. (2020). Building a Multimodal topographic dataset for flood hazard modelling and other geoscience applications. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18279, DOI:10.5194/egusphere-egu2020-18279, 2020
• 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. In: Standing up to Climate Change: Creating Prospects for a Sustainable Future in Rural Iran. S. Mohajeri, L. Horlemann, A.A. Besalatpour, and W. Raber, eds. Pp. 265-279. Cham: Springer International Publishing. DOI:10.1007/978-3-030-50684-1_12
• 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. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22125, DOI:10.5194/egusphere-egu2020-22125, 2020
• Dasgupta, A., Hostache, R., Ramsankaran, R., Schumann, G., Grimaldi, et al. (2020). Optimizing SAR-based Flood Extent Assimilation for Improved Flood Inundation Forecasts. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4342, DOI:10.5194/egusphere-egu2020-4342, 2020
• 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. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13113, DOI:10.5194/egusphere-egu2020-13113, 2020
• Laurence, H., Neal, J., Tellman, B., Liang, J., Schumann, G., et al. (2020). Comparing earth observation and inundation models to map flood hazards. Environ. Res. Lett. 15 124032. DOI:10.1088/1748-9326/abc216