Name
Title | ||
|---|---|---|
Empirical algorithms to retrieve surface rain-rate from Special Sensor Microwave Imager over a mid-latitude basin |
Abstract | ||
|---|---|---|
The capability of some empirical algorithms to estimate surface rain-rate at mid-latitude basin scale from the Special Sensor Microwave Imager (SSM/I) data is analyzed. We propose three retrieval techniques based on a multivariate regression, a Bayesian maximum a posteriori inversion and on an artificial feed-forward neural network. Three algorithms available in literature are also included as benchmarks. The training data set is derived from coincident SSM/I images and half hourly rain-rate data obtained from a rain-gauge network, placed along the River Tiber basin in Central Italy, during 9 years (from 1992 to 2000). The work points out that an algorithm based on regression or a neural network is a good estimator of low precipitation, while it tends to underestimate high rain rates. The best results have been achieved with the Bayesian method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026283 | IGARSS |
Keywords | Field | DocType |
microwave imaging,rain,remote sensing,ad 1992 to 2000,bayesian maximum a posteriori inversion,bayesian method,central italy,river tiber basin,ssm/i data,special sensor microwave imager,artificial feed-forward neural network,empirical algorithms,mid-latitude basin,multivariate regression,rain-gauge network,retrieval techniques,surface rain-rate,image sensors,neural networks,data analysis,neural network,algorithm design and analysis,image analysis,bayesian methods,image retrieval,feed forward neural network | Meteorology,Computer science,Multivariate statistics,Remote sensing,Algorithm,Microwave imaging,Maximum a posteriori estimation,Special sensor microwave/imager,Artificial neural network,Coincident,Estimator,Bayesian probability | Conference |
Volume | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Pulvirenti | 1 | 151 | 31.53 |
| Nazzareno Pierdicca | 2 | 278 | 62.69 |
| paolo castracane | 3 | 0 | 0.34 |
| g dauria | 4 | 1 | 0.97 |
| Piero Ciotti | 5 | 26 | 11.26 |
| f marzano | 6 | 12 | 10.21 |
| P. Basili | 7 | 93 | 18.54 |