| Title | A Stream Computing Based Apporach For Updating Waterlogging Infomation On Remote Sensing Images |
|---|---|
| ID_Doc | 43999 |
| Authors | Shangguan, BY; Yue, P; Wu, ZY |
| Title | A Stream Computing Based Apporach For Updating Waterlogging Infomation On Remote Sensing Images |
| Year | 2017 |
| Published | |
| Abstract | The advancement of Sensor Web technologies shows great promise to complement satellite remote sensing observations with fine-grained observations from in-situ sensors. One possibility is to use the timely observations from in-situ sensors to overcoming the limitation of long-term revisit periods in remote sensing products in time-critical situations. This often requires the timely processing of real-time observation streams. This paper proposes a stream computing based approach for fusing in-situ and remote sensing observations to provide timely decision support information. The approach is applied in a disaster management case, in which in-situ observation streams are processed to compute the waterlogging information of an area in near-real time. The results illustrate the applicability and effectiveness the approach. |
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