Name
Abstract | ||
|---|---|---|
Dust storms are one of the natural phenomena, which have increased in frequency in recent years in North Africa, Australia and northern China. Satellite remote sensing is the common method for monitoring dust storms but its use for identifying dust storms over sandy ground is still limited as the two share similar characteristics. In this study, an artificial neural network (ANN) is used to detect... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSTARS.2013.2248131 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Storms,MODIS,Satellites,Artificial neural networks,Vegetation mapping | Meteorology,Moderate-resolution imaging spectroradiometer,Satellite,Brightness temperature,Satellite remote sensing,Dust storm,Remote sensing,Storm,Pixel,Mathematics,NASA Earth Observatory | Journal |
Volume | Issue | ISSN |
6 | 6 | 1939-1404 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| esam elossta | 1 | 1 | 0.37 |
| Rami Qahwaji | 2 | 120 | 21.05 |
| Stanley S. Ipson | 3 | 60 | 12.02 |