초록 ▼

Systems and methods are provided that involve obtaining emissivity and reflectivity by the ratio of the radiance temperature versus the sea level temperature as observed by a satellite, and may further calculate two reflectivity values observed or simulated by the vertical or horizontal polarized ch

Systems and methods are provided that involve obtaining emissivity and reflectivity by the ratio of the radiance temperature versus the sea level temperature as observed by a satellite, and may further calculate two reflectivity values observed or simulated by the vertical or horizontal polarized channels of microwave, and then estimate a surface roughness. Further, illustrative implementations may involve obtaining the regression relation expression between the surface roughness and the wind strength and then detecting the sea-surface wind, using the information observed by the satellite again. As such, the sea-surface wind information can be obtained through satellite observation, and the information can be utilized for preventive activities against disaster including typhoon, the energy industry including wind power and the fishery in quasi-real time.

대표청구항 ▼

1. A passive system for detecting sea surface wind, the system comprising: an observation sensor unit that processes radiance temperature of sea water or sea level temperature information using data from a sensor mounted on a satellite;a reflectivity measurement operation unit that determines polari

1. A passive system for detecting sea surface wind, the system comprising: an observation sensor unit that processes radiance temperature of sea water or sea level temperature information using data from a sensor mounted on a satellite;a reflectivity measurement operation unit that determines polarized light-specific reflectivity as a function of processing the radiance temperature or the sea level temperature transmitted from the observation sensor unit;a sea level roughness determination unit that determines the sea level roughness, using the polarized light-specific reflectivity produced by the reflectivity measurement operation unit; anda sea surface wind information production unit that uses a regression relation between the determined sea level roughness and the magnitude of the sea surface wind and produces the sea surface wind information. 2. The system for detecting the sea surface wind according to claim 1, wherein the observation sensor unit senses the radiance temperature or the sea level temperature observed at 1-10 GHz, using a microwave satellite sensor mounted on a low latitude satellite. 3. The system for detecting the sea surface wind according to claim 1, wherein the reflectivity measurement operation unit uses the radiance temperature or the sea level temperature, and the polarized light-specific reflectivity RR, is given by: RR=(TB−T↓−TS·Γ)Γ[{T↓(1+Ω)−TS}·Γ]−1 wherein, RR represents a reflectivity, TS represents a sea level temperature, TB represents a radiance temperature observed over a microwave channel of AQUA AMSR-E, and T↑ and T↓ are terms showing an atmospheric effect Γ represents an atmospheric transmittance, where The fit parameter Ω is a correction parameter representing how much T↓ is scattered. 4. The system for detecting the sea surface wind according to claim 3, wherein the sea level roughness determination unit determines the sea level roughness given by: σ≈λ4⁢π⁢⁢cos⁢⁢θ·ln⁡(RR,Hse⁢⁢c2⁢θRR,V)wherein, RV represents the vertically polarized reflectivity, and RH represents the horizontally polarized reflectivity, where RR represents the observed polarized reflectivity, and θ represents a satellite zenith angle. 5. The system for detecting the sea surface wind according to claim 4, wherein the sea surface wind information production unit produces a relation between the sea level roughness and the sea surface wind, using FASTEM-2, the earth surface/sea level information module. 6. A method of detecting the sea surface wind, comprising: determining polarized light-specific reflectivity of an observation region of sea, using a radiance temperature and a sea level temperature of the observation region as measured by a sensor on a satellite;estimating sea level roughness as a function of the polarized light-specific reflectivity;determining sea surface wind information using a regression relation between the sea level roughness and magnitude of the sea surface wind. 7. The method of detecting the sea surface wind according to claim 6, wherein the polarized light-specific reflectivity is determined via channels of the sea level, using the radiance temperature measured by an a satellite observation sensor. 8. The method of detecting the sea surface wind according to claim 7, wherein the detecting the polarized light-specific reflectivity includes sensing and using radiance temperature or the sea level temperature observed at 1-10 GHz, using a microwave sensor mounted on a low latitude satellite. 9. The method of detecting the sea surface wind according to claim 8, wherein the polarized light-specific reflectivity, RR, is given by: RR=(TB−T↑−TS·Γ)·[{T↓(1+Ω)−TS}·Γ]−1 wherein, RR represents a reflectivity, TS represents a sea level temperature, TB represents a radiance temperature observed over a microwave channel of AQUA AMSR-E, and T↑ and T↓ are terms showing an atmospheric effect Γ represents an atmospheric transmittance, where the fit parameter Ω is a correction parameter representing how much T↓ is scattered. 10. The method of detecting the sea surface wind according to claim 9, wherein the sea level roughness is given by: σ≈λ4⁢π⁢⁢cos⁢⁢θ·ln⁡(RR,Hse⁢⁢c2⁢θRR,V)wherein, RV represents the vertically polarized reflectivity, and RH represents the horizontally polarized reflectivity, where RR represents the observed polarized reflectivity, and θ represents a satellite zenith angle. 11. The method of detecting the sea surface wind according to claim 8, further comprising: producing, via a sea surface wind information production unit, a relation between the sea level roughness and the sea surface wind, using a FASTEM-2 earth surface/sea level information module. 12. The method of detecting the sea surface wind according to claim 11, wherein the polarized light-specific reflectivity is given by: RR=(TB−T↑−TS·Γ)·[{T↓(1+Ω)−TS}·Γ]−1 wherein, RR represents a reflectivity, TS represents a sea level temperature, TB represents a radiance temperature observed over a microwave channel of AQUA AMSR-E, and T↑ and T↓ are terms showing an atmospheric effect Γ represents an atmospheric transmittance, where the fit parameter Ω is a correction parameter representing how much T↓ is scattered. 13. The method of detecting the sea surface wind according to claim 12, wherein the sea level roughness is given by: σ≈λ4⁢π⁢⁢cos⁢⁢θ·ln⁡(RR,Hse⁢⁢c2⁢θRR,V)wherein, RV represents the vertically polarized reflectivity, and RH represents the horizontally polarized reflectivity, where RR represents the observed polarized reflectivity, and θ represents a satellite zenith angle. 14. The method of detecting the sea surface wind according to claim 7, wherein the polarized light-specific reflectivity, RR, is give by: RR=(TB−T↑−TS·Γ)·[{T↓(1+Ω)−TS}·Γ]−1 wherein, RR represents a reflectivity, TS represents a sea level temperature, TB represents a radiance temperature observed over a microwave channel of AQUA AMSR-E, and T↑ and R↓ are terms showing an atmospheric effect Γ represents an atmospheric transmittance, where the fit parameter Ω is a correction parameter representing how much T↓ is scattered. 15. The method of detecting the sea surface wind according to claim 14, wherein the sea level roughness is given by: σ≈λ4⁢π⁢⁢cos⁢⁢θ·ln⁡(RR,Hse⁢⁢c2⁢θRR,V)wherein, RV represents the vertically polarized reflectivity, and RH represents the horizontally polarized reflectivity, where RR represents the observed polarized reflectivity, and θ represents a satellite zenith angle.