标题/作者	年份
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review H Tamiminia, B Salehi, M Mahdianpari, L Quackenbush, S Adeli, B Brisco ISPRS Journal of Photogrammetry and Remote Sensing 164, 152-170	2020
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area DT Bui, ND Hoang, F Martínez-Álvarez, PTT Ngo, PV Hoa, TD Pham, ... Science of The Total Environment 701, 134413	2020
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: application of the simulated annealing feature selection method FS Hosseini, B Choubin, A Mosavi, N Nabipour, S Shamshirband, ... Science of the total environment 711, 135161	2020
A method for automatic and rapid mapping of water surfaces from sentinel-1 imagery F Bioresita, A Puissant, A Stumpf, JP Malet Remote Sensing 10 (2), 217	2018
Automated extraction of surface water extent from Sentinel-1 data W Huang, B DeVries, C Huang, MW Lang, JW Jones, IF Creed, ML Carroll Remote Sensing 10 (5), 797	2018
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine B DeVries, C Huang, J Armston, W Huang, JW Jones, MW Lang Remote Sensing of Environment 240, 111664	2020
Potential and limitations of open satellite data for flood mapping D Notti, D Giordan, F Caló, A Pepe, F Zucca, JP Galve Remote sensing 10 (11), 1673	2018
Unsupervised rapid flood mapping using Sentinel-1 GRD SAR images D Amitrano, G Di Martino, A Iodice, D Riccio, G Ruello IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3290-3299	2018
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources S Salcedo-Sanz, P Ghamisi, M Piles, M Werner, L Cuadra, ... Information Fusion 63, 256-272	2020
A novel hybrid swarm optimized multilayer neural network for spatial prediction of flash floods in tropical areas using sentinel-1 SAR imagery and geospatial data PTT Ngo, ND Hoang, B Pradhan, QK Nguyen, XT Tran, QM Nguyen, ... Sensors 18 (11), 3704	2018
Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison A Fleischmann, R Paiva, W Collischonn Journal of Hydrology X 3, 100027	2019
Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data N Anusha, B Bharathi The Egyptian Journal of Remote Sensing and Space Science 23 (2), 207-219	2020
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
Comparing thresholding with machine learning classifiers for mapping complex water T Bangira, SM Alfieri, M Menenti, A Van Niekerk Remote Sensing 11 (11), 1351	2019
Flood mapping under vegetation using single SAR acquisitions S Grimaldi, J Xu, Y Li, VRN Pauwels, JP Walker Remote sensing of Environment 237, 111582	2020
Operational flood detection using Sentinel-1 SAR data over large areas H Cao, H Zhang, C Wang, B Zhang Water 11 (4), 786	2019
Flood mapping based on synthetic aperture radar: An assessment of established approaches L Landuyt, A Van Wesemael, GJP Schumann, R Hostache, NEC Verhoest, ... IEEE Transactions on Geoscience and Remote Sensing 57 (2), 722-739	2018
Development of an automated GIS tool for reproducing the HAND terrain model O Rahmati, A Kornejady, M Samadi, AD Nobre, AM Melesse Environmental modelling & software 102, 1-12	2018
On the merging of optical and SAR satellite imagery for surface water mapping applications KN Markert, F Chishtie, ER Anderson, D Saah, RE Griffin Results in Physics 9, 275-277	2018
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine M Singha, J Dong, S Sarmah, N You, Y Zhou, G Zhang, R Doughty, ... ISPRS Journal of Photogrammetry and Remote Sensing 166, 278-293	2020

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