• Title/Summary/Keyword: Bidirectional reflectance factor

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Measurement System of Bidirectional Reflectance-distribution Function (양방향 반사율 분포함수 측정시스템)

  • Hwang, Ji-Soo
    • Korean Journal of Optics and Photonics
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    • v.21 no.2
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    • pp.46-52
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    • 2010
  • A theory of bidirectional reflectance-distribution function (BRDF), a newly developed BRDF measurement system, and a method for evaluating the uncertainty of BRDF measurements are presented. The BRDF measurement system which measures BRDF in a wavelength range of (380~1500) nm with an angle range of $(-75{\sim}75)^{\circ}$ was installed. The measurement uncertainties, consisting of correlated terms and uncorrelated terms, were evaluated for the BRDF measurement system, resulting in the relative expanded uncertainty less than 3% (k=2).

Bidirectional Factor of Water Leaving Radiance for Geostationary Orbit (정지궤도를 위한 해면방사휘도$(L_w)$의 양방향 계수 (bidirectional factor) 평가 연구)

  • Park, Jin-Kyu;Han, Hee-Jeong;Mun, Jeong-Eon;Yang, Chan-Su;Ahn, Yu-Hwan
    • Proceedings of KOSOMES biannual meeting
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    • 2006.11a
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    • pp.181-186
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    • 2006
  • Geostationary Orbit satellite, unlike other sun-synchronous polar-orbit satellites, will be able to take a picture of a large region several times a day (almost with everyone hour interval). For geostationary satellite, the target region is fixed though the location of sun is changed always. However, Sun-synchronous polar-orbit satellites able to take a picture of target region same time a everyday. Thus Ocean signal is almost same. Accordingly, the ocean signal of a given target point is largely dependent on time. In other words, the ocean signal detected by geostationary satellite sensor must translate to the signal of target when both sun and satellite are located in nadir, using another correction model. This correction is performed with a standardization of signal throughout relative geometric relationship among satellite-sun-target points. This relative ratio called bidirectional factor. To find relationship between time and $[L_w]_N$/Bidirectional Factor differences, we are calculate solar position, geometry parameters. And reflectance, total radiance at the top of atmosphere(). And water leaving radiance, normalized water leaving radiance. And calculate bidirectional factor, that is the ratio of $[L_w]_N$ between target region and aiming the point. Then, we can make the bidirectional factor lookup table for one year imaging. So, we suggested for necessary to simulation experiment bidirectional factor in more various condition(wavelength and ocean/air condition).

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Radiometric Cross Calibration of KOMPSAT-3 and Lnadsat-8 for Time-Series Harmonization (KOMPSAT-3와 Landsat-8의 시계열 융합활용을 위한 교차검보정)

  • Ahn, Ho-yong;Na, Sang-il;Park, Chan-won;Hong, Suk-young;So, Kyu-ho;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.36 no.6_2
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    • pp.1523-1535
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    • 2020
  • In order to produce crop information using remote sensing, we use classification and growth monitoring based on crop phenology. Therefore, time-series satellite images with a short period are required. However, there are limitations to acquiring time-series satellite data, so it is necessary to use fusion with other earth observation satellites. Before fusion of various satellite image data, it is necessary to overcome the inherent difference in radiometric characteristics of satellites. This study performed Korea Multi-Purpose Satellite-3 (KOMPSAT-3) cross calibration with Landsat-8 as the first step for fusion. Top of Atmosphere (TOA) Reflectance was compared by applying Spectral Band Adjustment Factor (SBAF) to each satellite using hyperspectral sensor band aggregation. As a result of cross calibration, KOMPSAT-3 and Landsat-8 satellites showed a difference in reflectance of less than 4% in Blue, Green, and Red bands, and 6% in NIR bands. KOMPSAT-3, without on-board calibrator, idicate lower radiometric stability compared to ladnsat-8. In the future, efforts are needed to produce normalized reflectance data through BRDF (Bidirectional reflectance distribution function) correction and SBAF application for spectral characteristics of agricultural land.

DEVELOPMENT OF 3D STRUCTURE MEASUREMENT SYSTEM USING LASER SCANNING DATA AND CCD SENSOR

  • Honma Kazuyuki;KAllWARA Koji;HONDA Yoshiaki
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.76-78
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    • 2005
  • When the data from the artificial satellite is analyzed, recent years it is perceived to vegetation index using BRF(Bidirectional Reflectance Factor) of the observation target. To make the BRF models, it is important to measure the 3D structure of the observation target actually. In this study, it is proposed to the observation technique by using laser scanning data. Also, our team has been operating the radio controlled helicopter which can fly over the tall forest canopy and it can be equipped the measurement system.

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