Name
Abstract | ||
|---|---|---|
Monitoring of land surface albedo dynamics is important for the understanding of observed climate trends. Recently developed multidecadal surface albedo data products, derived from a series of geostationary satellite data, provide the opportunity to study long term surface albedo dynamics at the regional to global scale. Reliable estimates of temporal trends in surface albedo require carefully calibrated and homogenized long term satellite data records and derived products. The present paper investigates the long term consistency of a new surface albedo product derived from Meteosat First Generation (MFG) geostationary satellites for the time period 1982-2006. The temporal consistency of the data set is characterized. The analysis of the long term homogeneity reveals some discrepancies in the time series related to uncertainties in the characterization of the sensor spectral response of some of the MFG satellites. A method to compensate for uncertainties in the current data product is proposed and evaluated. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3390/rs2040957 | REMOTE SENSING |
Keywords | Field | DocType |
surface albedo,Meteosat,essential climate variables,temporal stability,stability analysis | Satellite,Satellite imagery,Homogeneity (statistics),Remote sensing,Albedo,Data products,Climatology,Geology,Temporal consistency,Geostationary orbit | Journal |
Volume | Issue | Citations |
2 | 4 | 4 |
PageRank | References | Authors |
0.53 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Loew | 1 | 114 | 15.26 |
| Yves M. Govaerts | 2 | 13 | 4.21 |