메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국기상학회 Asia-Pacific Journal of Atmospheric Sciences Asia-Pacific Journal of Atmospheric Sciences Vol.45 No.4
발행연도
2009.11
수록면
499 - 511 (13page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The land surface reflectance related to solar energy system parameters is important for interpreting the solar-earth energy balance system and climate change. Previous studies using time series of satellite-sensed images have reported that surface anisotropy effects can cause serious error in estimations of solar radiation parameters such as reflectance, albedo, vegetation indices, and insolation. To correct such BRD (Bidirectional Reflectance Distribution) effects, we use a BRDF (Bi-directional Reflectance Distribution Function) model based on a semi-empirical model. Recently, synthesizing data from polar-orbit and geostationary satellite images has been considered an alternative solution to the angle sampling difficulties caused by these different observation systems. The angular sampling distribution is examined using polar plots to identify differences between geostationary and polar-orbit satellites. We conduct comparative analyses of various BRDF kernels to determine the optimal BRDF geometric kernel (from the Li-Sparse model). To characterize prominent bidirectional effects, such as strong backward scattering, scatter plots in the principal plane are created for various solar zenith angle ranges. Then, the determined Li-Sparse geometry with Roujean volume scattering kernel is applied to estimate reflectance in a standard geometry over the study area. For all of the retrieved surface nadir reflectances, RMSE (Root Mean Square Error) variations are less than 0.3 during the study period, even in summer when severe weather conditions occur. Winter has the highest accuracy for the satellite data set. Combining MTSAT-1R (Multi-functional Transport Satellite-1R) and SPOT/VGT (Satellite Pour l'Observation de la Terre VEGETATION) data improve estimated normalized reflectance, compare with that for MTSAT-1R values alone over the study area.

목차

Abstract
1. Introduction
2. Synthetic methodology and data
3. Methods
4. Results and analysis
5. Concluding remarks
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2009-453-019158770