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Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations
Radiometric calibration utilizing the Moon as a reference source is termed as lunar calibration. It is a useful method for evaluating the performance of optical sensors onboard satellites orbiting the Earth. Lunar calibration provides sufficient radiometric calibration opportunities without requirin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037965/ https://www.ncbi.nlm.nih.gov/pubmed/33916016 http://dx.doi.org/10.3390/s21072429 |
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author | Imai, Masataka Kurihara, Junichi Kouyama, Toru Kuwahara, Toshinori Fujita, Shinya Sakamoto, Yuji Sato, Yuji Saitoh, Sei-Ichi Hirata, Takafumi Yamamoto, Hirokazu Takahashi, Yukihiro |
author_facet | Imai, Masataka Kurihara, Junichi Kouyama, Toru Kuwahara, Toshinori Fujita, Shinya Sakamoto, Yuji Sato, Yuji Saitoh, Sei-Ichi Hirata, Takafumi Yamamoto, Hirokazu Takahashi, Yukihiro |
author_sort | Imai, Masataka |
collection | PubMed |
description | Radiometric calibration utilizing the Moon as a reference source is termed as lunar calibration. It is a useful method for evaluating the performance of optical sensors onboard satellites orbiting the Earth. Lunar calibration provides sufficient radiometric calibration opportunities without requiring any special equipment, and is suitable for nano/microsatellites. This study applies lunar calibration to a multispectral sensor, Ocean Observation Camera (OOC), on board a microsatellite named Rapid International Scientific Experiment Satellite. Simulating the brightness of the Moon based on the RObotic Lunar Observatory and SELENE/Spectrum Profiler models, sensitivity degradation was proven to be negligible in any of the four spectral bands of the OOC with the sensor temperature correction. A bluing trend in the OOC’s sensor sensitivity was revealed, indicating a shorter observation wavelength shows larger irradiance. Comparing the top-of-atmosphere reflectance of Railroad Valley Playa with the Radiometric Calibration Network dataset revealed that the derived calibration parameter from the lunar calibration was valid for correcting the bluing trend in the visible range. Although the lunar and vicarious calibration parameters for the infrared band were unexpectedly inconsistent, lunar calibration could potentially contribute toward estimating the contaminated background radiance in the Earth observation images. |
format | Online Article Text |
id | pubmed-8037965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80379652021-04-12 Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations Imai, Masataka Kurihara, Junichi Kouyama, Toru Kuwahara, Toshinori Fujita, Shinya Sakamoto, Yuji Sato, Yuji Saitoh, Sei-Ichi Hirata, Takafumi Yamamoto, Hirokazu Takahashi, Yukihiro Sensors (Basel) Article Radiometric calibration utilizing the Moon as a reference source is termed as lunar calibration. It is a useful method for evaluating the performance of optical sensors onboard satellites orbiting the Earth. Lunar calibration provides sufficient radiometric calibration opportunities without requiring any special equipment, and is suitable for nano/microsatellites. This study applies lunar calibration to a multispectral sensor, Ocean Observation Camera (OOC), on board a microsatellite named Rapid International Scientific Experiment Satellite. Simulating the brightness of the Moon based on the RObotic Lunar Observatory and SELENE/Spectrum Profiler models, sensitivity degradation was proven to be negligible in any of the four spectral bands of the OOC with the sensor temperature correction. A bluing trend in the OOC’s sensor sensitivity was revealed, indicating a shorter observation wavelength shows larger irradiance. Comparing the top-of-atmosphere reflectance of Railroad Valley Playa with the Radiometric Calibration Network dataset revealed that the derived calibration parameter from the lunar calibration was valid for correcting the bluing trend in the visible range. Although the lunar and vicarious calibration parameters for the infrared band were unexpectedly inconsistent, lunar calibration could potentially contribute toward estimating the contaminated background radiance in the Earth observation images. MDPI 2021-04-01 /pmc/articles/PMC8037965/ /pubmed/33916016 http://dx.doi.org/10.3390/s21072429 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Imai, Masataka Kurihara, Junichi Kouyama, Toru Kuwahara, Toshinori Fujita, Shinya Sakamoto, Yuji Sato, Yuji Saitoh, Sei-Ichi Hirata, Takafumi Yamamoto, Hirokazu Takahashi, Yukihiro Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title | Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title_full | Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title_fullStr | Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title_full_unstemmed | Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title_short | Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations |
title_sort | radiometric calibration for a multispectral sensor onboard risesat microsatellite based on lunar observations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037965/ https://www.ncbi.nlm.nih.gov/pubmed/33916016 http://dx.doi.org/10.3390/s21072429 |
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