An effectiveness of a new prediction method based on a characterization of dynamics of a non-stational time series data is evaluated. Through a comparison of the proposed method with the conventional prediction method based on a linear estimation of the parameter of the stational time series of data of interest, it is confirmed that the proposed method is superior to the conventional method for the non-stational time series of the simulation data derived from the Auto Regressive model of which the parameters of the model are determined from the SSM/I (Special Sensor of Microwave / Imager) of 19.3 GHz vertical polarization of brightness temperature data in all the cases in concern.
A film-solarimeter was examined for field use. It integrates the solar radiation from the light transmittance of the film coated azo dyes. Relations between the film transmittance and the exposed solar energy were studied to make calibration curves under the field condition. At the same time, the variance of fading reaction of each film was investigated before and after the exposure. In order to evaluate field application, film-solarimeters were deployed to measure the amount of solar radiation inside the canopy of deciduous broad-leaved forest through three seasons. Several characteristics, merits and limits are found. If choose the appropriate time ranges and the possible happenings will be understood, the film-solarimeter must be an effectual and easy method to measure the amount of solar radiation in the experimental field.
An effectiveness of the 8.3 [μm] band in the ASTER/TIR (Advanced Spaceborne Thermal Emission and Reflection radiometer / Thermal Infrared Radiometer) on Sea Surface Temperature (SST) estimation is evaluated together with a re-evaluation of SST estimation accuracy for ASTER/TIR by using MODTRAN 3.7 rather than LOWTRAN 7. It is found that SST estimation error for MODTRAN 3.7 is 3 to 9 [%] better than that for LOWTRAN 7 because the atmospheric transparency of the atmospheric window bands are increased by around 2 [%] while the transparency of the water vapor absorption band is decreased by approximately 3 [%] due to the fact that the wavenumber step of MODTRAN 3.7 is better than that of LOWTRAN 7 (1 [cm-1] for MODTRAN 3.7, 5 [cm-1] for LOWTRAN 7) . Furthermore, it is found that 1.5 to 39.2 [%] of improvement on SST estimation can be achieved by adding band 10 to the rest of ASTER/TIR bands (11 to 14) . The band 10 is getting 59.3 [%] more effective on SST estimation by shifting to larger wave number by 25 [cm-1] from the current center wave number.
Three different types of space borne SAR data were processed and analyzed to investigate temporal changes of SAR backscattering intensity of riceplanted fields. The result clearly indicated the superiority of C-band SAR by RADARSAT/FINE and ERS-1 compared with L-band SAR by JERS-1 for the purpose of rice monitoring. Next, rice-planted area estimation in whole Higashi-Hiroshima City was attempted by using RADARSAT/FINE and ERS-1/SAR and the results coincided well with the statistical values by the government office. In addition, a possibility for riceplanted area estimation in an early stage, namely just after rice-planting season, was also suggested from the result of this study.