| 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 |
|
| DOI |
|
| 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. |
| Author Keywords |
remote sensing images; stream computing; waterlogging; SPARK; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000426954600096 |
| WoS Category |
Geosciences, Multidisciplinary; Remote Sensing |
| Research Area |
Geology; Remote Sensing |
| PDF |
|