[논문]Absolute Radiometric Calibration for KOMPSAT-3 AEISS and Cross Calibration Using Landsat-8 OLI

Ahn, Hoyong; Shin, Dongyoon; Lee, Sungu; Choi, Chuluong

doi:10.7848/ksgpc.2017.35.4.291

Absolute Radiometric Calibration for KOMPSAT-3 AEISS and Cross Calibration Using Landsat-8 OLI 원문보기

한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.35 no.4, 2017년, pp.291 - 302

Ahn, Hoyong (Dept. of Spatial Information Engineering, Pukyoung National University) , Shin, Dongyoon (Road Policy Research Center, Korea Research Institute for Human Settlements) , Lee, Sungu (Ground System Development Team, Korea Aerospace Research Institute) , Choi, Chuluong (Dept. of Spatial Information Engineering, Pukyoung National University)

Abstract ▼ AI-Helper

Radiometric calibration is a prerequisite to quantitative remote sensing, and its accuracy has a direct impact on the reliability and accuracy of the quantitative application of remotely sensed data. This paper presents absolute radiometric calibration of the KOMPSAT-3 (KOrea Multi Purpose SATellite-3) and cross calibration using the Landsat-8 OLI (Operational Land Imager). Absolute radiometric calibration was performed using a reflectance-based method. Correlations between TOA (Top Of Atmosphere) radiances and the spectral band responses of the KOMPSAT-3 sensors in Goheung, South Korea, were significant for multispectral bands. A cross calibration method based on the Landsat-8 OLI was also used to assess the two sensors using near simultaneous image pairs over the Libya-4 PICS (Pseudo Invariant Calibration Sites). The spectral profile of the target was obtained from EO-1 (Earth Observing-1) Hyperion data over the Libya-4 PICS to derive the SBAF (Spectral Band Adjustment Factor). The results revealed that the TOA radiance of the KOMPSAT-3 agree with Landsat-8 within 5.14% for all bands after applying the SBAF. The radiometric coefficient presented here appears to be a good standard for maintaining the optical quality of the KOMPSAT-3.

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제안 방법

1. Absolute radiometric calibration was performed using a reflectance-based method on a target field imaged by KOMPSAT-3 coincident with ground-based surface and atmospheric measurement.
In this study, we obtained the EO-1 Hyperion image for the same days as the KOMPSAT-3 and Landsat-8 overpasses for the SBAF at the Libya-4 PICS. EO-1 Hyperion sensor images were used to derive the SBAF to compensate for the differences in the RSR between the sensors.
8m spatial resolution). It will operate at an altitude of 685 km in a sun-synchronous orbit for 4 years and monitor the Korean peninsula using a payload capable of sub-meter class resolution. The mission objectives of the KOMPSAT-3 are to provide continuous satellite Earth observation after KOMPSAT-1 and KOMPSAT-2 and to meet the nation's needs for high-resolution EO (Electro-Optical) images required for GIS (Geographical Information Systems) and other environmental, agricultural and oceanographic monitoring applications.
However, we need to analyze the nonlinearity generated by the determination of the calibration coefficient and to reduce the uncertainty of the calibration coefficient. The accuracy of the ground measurements will be improved by using sun photometer and sky radiometer measurements in the next field campaign.
, 2010). The purpose of this study was to produce radiometric calibration coefficients that allow calibration of KOMPSAT-3 (KOrea Multi Purpose SATellite-3) DN (Digital Number) to values with physical units. Conversion to the sensor spectral radiance and TOA (Top Of Atmosphere) reflectance is a fundamental step during comparison of products from different sensors.

대상 데이터

The NASA EO-1 satellite was launched on November 21, 2001. During 1 year, it did validation and assessment mission.

데이터처리

Absolute radiometric calibration coefficient was calculated for each spectral band for KOMPSAT-3 AEISS using a RSR corresponding to predicted TOA radiances and images DN of KOMPSAT-3. The absolute radiometric calibration curves are shown in Fig.
For the cross calibration, the calibration coefficient was calculated by comparing the at sensor spectral radiance for the same location calculated using the Landsat-8 calibration parameters in the metadata and the DN of KOMPSAT-3 for the ROI (Regions Of Interest). Each ROI for cross calibration was selected to be homogenous, with a size of about 9 ×9 km.
We performed absolute radiometric calibration using vicarious method for the KOMPSAT-3 sensor following a field campaign in Goheung, South Korea, in 2014. The radiometric calibration coefficient was determined to explain the relationship between the DN and sensor radiance through absolute radiometric calibration of the KOMPSAT-3 AEISS. We also described a cross calibration approach based on the Libya-4 PICS that used near simultaneous collections from the two sensors during an underfly.

이론/모형

To calculate the total radiance at the sensor (L_S) quantitatively, radiative transfer models are used, which predict the path radiance in a certain region on a specific date and remove its effect. At the sensor radiance used for reflectance based vicarious calibration was calculated using MODTRAN radiative transfer code.
However, LTAN (Local Time on Ascending Node) of KOMPSAT-3 and LANDSAT-8 has approximately 3 hours of difference according to the orbit of a satellite, and this makes a difference of the solar zenith angles when acquire images. In order to solve these issues to apply cross calibration, the cosine correction was to be applied to KOMPSAT-3 images according to the zenith angle suggested by Teillet et al. (2001).
In this study, cross calibration was conducted using the KOMPSAT-3 AEISS with reference to the Landsat-8, which performs radiometric calibration by an onboard calibrator (Amanollahi et al., 2013). For cross calibration, we used sameday (3 hours different) Landsat-8 and KOMSAT-3 overpass time at the Libya-4 PICS (Pseudo Invariant Calibration Sites) on August 6, 2013, June 3, 2013, April 3, 2014 and September 10, 2014 (Fig.
Therefore, a rural model was used by the MODTRAN (MODerate resolution TRANsmission algorithm) (Schläpfer and Nieke, 2005) an aerosol model.

성능/효과

All KOMPSAT-3 images were acquired near simultaneously (within 3 hours) with the Landsat-8, EO-1 images and were of very good quality, with almost no cloud (<1% cloud cover) and a satellite tilt angle of less than 10%.
For the crosscalibration, a calibration coefficient was calculated using the TOA radiance and KOMPSAT-3 DN of the Landsat-8 OLI overpassed the Libya-4 PICS, the accuracy of the calibration coefficient at the site was assumed to be ± 1.0%.
The maximum difference in the calibration coefficient was calculated for each scene is 2.4% in blue band, 3.9% in green band, 4.1% in red band and 7.7% in NIR band. There was a trend for the difference to increase from the Blue band to the NIR bands, which was likely to be due to the RSR difference.
For the nominal spectral band width overlap ratio, the blue and green bands were more than 90% similar. The red overlap was 83%, the NIR overlap was 28.6%, and the precise overlap ratio based on RSR was in the order of blue, green, red, and NIR, with overlap ratios. The blue and green bands displayed relatively small differences, but the red and NIR bands had large differences.

참고문헌 (22)

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