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http://dx.doi.org/10.7780/kjrs.2022.38.5.1.4

An Implementation of the OTB Extension to Produce RapidEye Surface Reflectance and Its Accuracy Validation Experiment  

Kim, Kwangseob (Department of Electronics and Information Engineering, Hansung University)
Lee, Kiwon (Department of Electronics and Information Engineering, Hansung University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.5_1, 2022 , pp. 485-496 More about this Journal
Abstract
This study is for the software implementation to generate atmospheric and surface reflectance products from RapidEye satellite imagery. The software is an extension based on Orfeo Toolbox (OTB) and an open-source remote sensing software including calibration modules which use an absolute atmospheric correction algorithm. In order to verify the performance of the program, the accuracy of the product was validated by a test image on the Radiometric Calibration Network (RadCalNet) site. In addition, the accuracy of the surface reflectance product generated from the KOMPSAT-3A image, the surface reflectance of Landsat Analysis Ready Data (ARD) of the same site, and near acquisition date were compared with RapidEye-based one. At the same time, a comparative study was carried out with the processing results using QUick Atmospheric Correction (QUAC) and Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) tool supported by a commercial tool for the same image. Similar to the KOMPSAT-3A-based surface reflectance product, the results obtained from RapidEye Extension showed accuracy of agreement level within 5%, compared with RadCalNet data. They also showed better accuracy in all band images than the results using QUAC or FLAASH tool. As the importance of the Red-Edge band in agriculture, forests, and the environment applications is being emphasized, it is expected that the utilization of the surface reflectance products of RapidEye images produced using this program will also increase.
Keywords
Surface reflectance; Open-source; OTB extension; RadCalNet; RapidEye satellite imagery;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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