Difference between revisions of "Remote sensing data"
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| 12 || 0.75 || 0.60 || 0.90 high resolution visual broadband (hrv) | | 12 || 0.75 || 0.60 || 0.90 high resolution visual broadband (hrv) | ||
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| + | == downscaling techniques == | ||
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| + | === statistical === | ||
| + | |||
| + | singular vector decomposition | ||
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| + | Bretherton CS, Smith C, Wallace JM. 1992. An intercomparison of methods for finding coupled patterns in climate data. Journal of Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Climate 5: 541–560 | ||
| + | |||
| + | |||
| + | === dynamical === | ||
Revision as of 14:48, 7 February 2008
Overview of remote sensing data that may be useful for hydrological analysis
| Institute | Satellite | Sensor | Notes |
|---|---|---|---|
| ESA | ENVISAT | ASAR | APG HH and HV -> delineation of water bodies |
| NASA | ?? | AVHRR | http://www.nsof.class.noaa.gov, cloud cover |
| NASA | EOS AQUA | AMSR-E | ?? |
| ESA | METEOSAT | ?? | MSG-1 aka Meteosat-8 (launched 2002) carries the Spinning Enhanced Visible and Infrared Imager (SEVIRI). SEVIRI continuously the entire earth disk at a frequency of 15 minutes and has 12 spectral channels, 8 of which can be used for monitoring the earth surface. Channel 12 is a high resolution visible (hrv) channel, which has a resolution of 1 km at the sub-satellite point (1.5 – 2 km over Europe). All of the other channels have a spatial resolution of 3 km at the sub-satellite point (5 – 6 km over Europe). |
| ??? | MERIS | ?? | NDVI? CLOUD COVER? 260x290m |
| NASA | TRMM | ?? | 25x25km resolution (0.25°), rainfall |
| NASA | ASTER | ?? | temperature, reflectance, elevation. On demand, and does not seem to exist for the tropical Andes |
| NASA | TERRA/AQUA | MODIS | http://www.landcover.org |
Some more information
general
There is a useful tool from the ESA website to search for available images (does ENVISAT and others):
meteosat
The channels of SEVERI on board meteosat-8 (spectral band / μm)
(from http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_de-ruyter1.pdf)
| Channel | min | max | description |
|---|---|---|---|
| 1 | 0.635 | 0.56 | 0.71 visual |
| 2 | 0.81 | 0.74 | 0.88 visual |
| 3 | 1.64 | 1.50 | 1.78 near infrared |
| 4 | 3.90 | 3.48 | 4.36 infrared |
| 5 | 6.25 | 5.35 | 7.15 infrared (water vapour absorption) |
| 6 | 7.35 | 6.85 | 7.85 infrared (water vapour absorption) |
| 7 | 8.70 | 8.30 | 9.1 infrared |
| 8 | 9.66 | 9.38 | 9.94 infrared (ozone absorption) |
| 9 | 10.80 | 9.80 | 11.80 infrared |
| 10 | 12.00 | 11.00 | 13.00 infrared |
| 11 | 13.40 | 12.40 | 14.40 infrared (CO2 absorption) |
| 12 | 0.75 | 0.60 | 0.90 high resolution visual broadband (hrv) |
downscaling techniques
statistical
singular vector decomposition
Bretherton CS, Smith C, Wallace JM. 1992. An intercomparison of methods for finding coupled patterns in climate data. Journal of Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Climate 5: 541–560