scholarly journals Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt

2021 ◽  
Author(s):  
Ismail Elkhrachy ◽  
Quoc Bao Pham ◽  
Romulus Costache ◽  
Meriame Mohajane ◽  
Khalil Ur Rahman ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Flash Flood ◽  
Remote Sensing Data ◽  
Two Dimensional ◽  
Sensing Data ◽  
Flood Detection ◽  
Analysis System

scholarly journals PROCESSING BIG REMOTE SENSING DATA FOR FAST FLOOD DETECTION IN A DISTRIBUTED COMPUTING ENVIRONMENT

2017 ◽  
Vol XLII-4/W2 ◽  
pp. 137-138
Author(s):  
A. Olasz ◽  
D. Kristóf ◽  
B. Nguyen Thai ◽  
M. Belényesi ◽  
R. Giachetta
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Remote Sensing Data ◽  
Development Project ◽  
Geospatial Data ◽  
Computing Environment ◽  
Sensing Data ◽  
Space Industry ◽  
Spatio Temporal ◽  
Flood Detection

The Earth observation (EO) missions of the space agencies and space industry (ESA, NASA, national and commercial companies) are evolving as never before. These missions aim to develop and launch next-generation series of satellites and sensors and often provide huge amounts of data, even free of charge, to enable novel monitoring services. The wide geospatial sector is targeted to handle new challenges to store, process and visualize these geospatial data, reaching the level of Big Data by their volume, variety, velocity, along with the need of multi-source spatio-temporal geospatial data processing. Handling and analysis of remote sensing data has always been a cumbersome task due to the ever-increasing size and frequency of collected information. This paper presents the achievements of the IQmulus EU FP7 research and development project with respect to processing and analysis of geospatial big data in the context of flood and waterlogging detection.

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