Title | ||
---|---|---|
Maximum-Likelihood Retrieval of Volcanic Ash Concentration and Particle Size From Ground-Based Scanning Lidar. |
Abstract | ||
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An inversion methodology, named maximum-likelihood (ML) volcanic ash light detection and ranging (Lidar) retrieval (VALR-ML), has been developed and applied to estimate volcanic ash particle size and ash mass concentration within volcanic plumes. Both estimations are based on the ML approach, trained by a polarimetric backscattering forward model coupled with a Monte Carlo ash microphysical model.... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TGRS.2018.2826839 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Laser radar,Volcanic ash,Backscatter,Aerosols,Explosives,Atmospheric measurements,Shape | Monte Carlo method,Volcano,Polarimetry,Remote sensing,Backscatter,Lidar,Ranging,Volcanic ash,Mass concentration (chemistry),Mathematics | Journal |
Volume | Issue | ISSN |
56 | 10 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luigi Mereu | 1 | 1 | 3.44 |
Simona Scollo | 2 | 4 | 3.65 |
Saverio Mori | 3 | 36 | 5.68 |
Antonella Boselli | 4 | 0 | 0.68 |
Giuseppe Leto | 5 | 0 | 0.68 |
Frank S. Marzano | 6 | 41 | 15.92 |