Name
Abstract | ||
|---|---|---|
Ground-based sky cameras (popularly known as Whole Sky Imagers) are increasingly used now-a-days for continuous monitoring of the atmosphere. These imagers have higher temporal and spatial resolutions compared to conventional satellite images. In this paper, we use ground-based sky cameras to detect the onset of rainfall. These images contain additional information about cloud coverage and movement and are therefore useful for accurate rainfall nowcast. We validate our results using rain gauge measurement recordings and achieve an accuracy of 89% for correct detection of rainfall onset. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TENCON.2016.7848383 | PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) |
Field | DocType | Volume |
Atmosphere,Satellite,Pattern recognition,Rain gauge,Computer science,Remote sensing,Sky,Continuous monitoring,Artificial intelligence,Precipitation,Cloud computing | Journal | abs/1610.06667 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumyabrata Dev | 1 | 62 | 13.94 |
| Shilpa Manandhar | 2 | 0 | 0.34 |
| Yee Hui Lee | 3 | 107 | 24.09 |
| Stefan Winkler | 4 | 216 | 21.60 |