Cross Validation Approach Using LANDSAT-8 and KOMPSAT-3 Forest Imagery in Korea for CAS500-4 Applications

Advances in Earth observation technologies have enabled mid-sized satellites to achieve high radiometric performance at relatively low cost, expanding their use to quantitative remote sensing applications.Compact Advanced Satellite 500-4 (CAS500-4), equipped with visible-to-near-infrared sensors including a red-edge band and designed to provide nearly 5-meter multispectral imagery every 3 days, requires a reliable radiometric monitoring framework.Cross-sensor comparison offers an efficient means of validating radiometric stability, particularly through reference sensors such as LANDSAT-8 Operational Land Imager (OLI), whose long-term calibration record ensures high radiometric consistency.This study evaluates whether forest-dominant regions on the Korean Peninsula, which represent the primary observation target of CAS500-4, can serve as suitable ground targets for cross-validation between LANDSAT-8 radiance and KOMPSAT-3 multispectral digital number (DN) values.Five KOMPSAT-3 scenes acquired near-nadir on 13 January 2025 were paired with the same-day Landsat-8 imagery.To mitigate geometric and spatial-resolution mismatches, zonal statistics and a pixel-based sliding-window sampling method (1,681 windows) were applied.Results showed that zonal-mean DN values from KOMPSAT-3 were highly stable across sliding windows, with standard deviations generally below 2 DN.Derived radiance conversion coefficients in the visible bands differed by less than 6% from previous KOMPSAT-3 radiometric studies, demonstrating the strong feasibility of the proposed method.Larger discrepancies in the near-infrared band were attributed to water-dominant landcover and nonlinear sensor response at low DN levels.Overall, forest regions exhibited stable reflectance characteristics suitable for radiometric comparison, suggesting that Korean forests provide a practical and effective foundation for CAS500-4 radiometric validation after launch.

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Publication Details

Journal
Korean Journal of Remote Sensing
Published
2026-02-28
DOI
https://doi.org/10.7780/kjrs.2026.42.1.7
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross Validation Approach Using LANDSAT-8 and KOMPSAT-3 Forest Imagery in Korea for CAS500-4 Applications

Byung Oh Yoo, Chi-Ho Lee, Minji Seo, Joongbin Lim et al.
Korean Journal of Remote Sensing
Remote Sensing in Agriculture
article

Cross Validation Approach Using LANDSAT-8 and KOMPSAT-3 Forest Imagery in Korea for CAS500-4 Applications

Byung Oh Yoo, Chi-Ho Lee, Minji Seo, Joongbin Lim, Cheonggil Jin
article en

Abstract

Advances in Earth observation technologies have enabled mid-sized satellites to achieve high radiometric performance at relatively low cost, expanding their use to quantitative remote sensing applications.Compact Advanced Satellite 500-4 (CAS500-4), equipped with visible-to-near-infrared sensors including a red-edge band and designed to provide nearly 5-meter multispectral imagery every 3 days, requires a reliable radiometric monitoring framework.Cross-sensor comparison offers an efficient means of validating radiometric stability, particularly through reference sensors such as LANDSAT-8 Operational Land Imager (OLI), whose long-term calibration record ensures high radiometric consistency.This study evaluates whether forest-dominant regions on the Korean Peninsula, which represent the primary observation target of CAS500-4, can serve as suitable ground targets for cross-validation between LANDSAT-8 radiance and KOMPSAT-3 multispectral digital number (DN) values.Five KOMPSAT-3 scenes acquired near-nadir on 13 January 2025 were paired with the same-day Landsat-8 imagery.To mitigate geometric and spatial-resolution mismatches, zonal statistics and a pixel-based sliding-window sampling method (1,681 windows) were applied.Results showed that zonal-mean DN values from KOMPSAT-3 were highly stable across sliding windows, with standard deviations generally below 2 DN.Derived radiance conversion coefficients in the visible bands differed by less than 6% from previous KOMPSAT-3 radiometric studies, demonstrating the strong feasibility of the proposed method.Larger discrepancies in the near-infrared band were attributed to water-dominant landcover and nonlinear sensor response at low DN levels.Overall, forest regions exhibited stable reflectance characteristics suitable for radiometric comparison, suggesting that Korean forests provide a practical and effective foundation for CAS500-4 radiometric validation after launch.

Korean Journal of Remote SensingVol. 42(1)
Korea Forest Service (KR), Institute of Forest Science (RU)
National Institute of Forest Science, Korea Aerospace Research Institute
Life in Land
Openalex Percentile: Top 41%
Remote Sensing in Agriculture
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