2004 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXAV , Part B7. Istanbul 2004
this input of shape, texture and spectral information in the
n of | classification process through the multi dimensional input
ation object functions. Rain- rates computed through this QPF
land, | process look good and promising; results have however yet to
s the | be verified, as study is still ongoing. This cloud multi feature
; that | object classification technique will require further study to
and ey improve the QPF process.
was |
the 5 Reference
nd 3 |
)bject Anagnostou, E. N., Negri, A. J. and Adler, R. F.. 1999. A
satellite infrared technique for diurnal rainfall variability
studies. J. Geophys. Res., 104, 31477-31488.
| Arkın, P. A,.1979 The relationship between fractional
coverage of high cloud and rainfall accumulations during
| GATE over the B-scale array. Mon. Wea. Rev, 106, 1153-1171.
Arkin, P. A., and Janowiak, J., 199] Analysis of the global
distribution of precipitation. Dyn. Atmos Oceans, 16, 5-16.
Ba, M. B., and Nicholson S. E.,1998. Analysis of convective
activity and its relationship to the rainfall over the Rift Valley
lakes of East Africa during 1983-90 using the Meteosat infrared
channel. J. Appl. Meteorology., 37, 1250-1264.
| Bendix, J., 1997. Adjustment of the Convective-Stratiform
Technique (CST) to estimate 1991/93 El Niño rainfall
distribution in Ecuador and Peru by means of Meteosat-3 data.
Int. J. Remote Sensing, 18, 1387-1394.
| Bendix, J., 2000 Precipitation dynamics in Ecuador and
Northern Peru during the 1991/92 El Niño: a remote sensing
| perspective. /nt. J. Remote Sensing, 21, 533-548.
| Gruber, A.,1973 Estimating rainfall in regions of active
convection. J. Appl. Meteorology., 12, 110- 118.
| Definien imaging ,2001. Ecognition -Advanced land
| useclassification using polarimetric highresolution SAR ‚Vol.
| 2, No. 6, August 2001,
| http:/www.gisdevelopment.net/application/environment/overvi
| ^. ew/envo0010pf.htm (20/03/04)
| Karlsson ,K., Thoss, A and Dybbroe, A.,1999..High
visual | Resolution Cloud Product from NOAA AVHRR AND AMSU.
on the Swedish Meteorological and Hydrological Institute (SMHI) S-
in-rate | 601 76 Norrköping, Sweden
n over |
| cover | Todd, M. C., Barrett, E. C., Beaumont, M. J. and Bellerby, T.
rmines |
| J.,1999 Estimation of daily rainfall over the upper Nile river
| basin using a continuously calibrated satellite infrared
| technique. J. Appl Meteorololgy.. 6, 201-210
| Todd, M.C., Barrett, E. C., Beaumont, M. J. and Green, J. L.,
1995. Satellite identification of rain days over the upper Nile
object | river basin using an optimum infrared rain/no-rain threshold
gh me temperature model. J. Appl. Meteorology. 34, 2600-2611.
ow for
owever
to the
723
