4.7 Article

Combination of Cross- and Inter-Band Radiometric Calibrations for a Hyperspectral Sensor Using Model-Based Spectral Band Adjustment

Journal

REMOTE SENSING
Volume 12, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/rs12122011

Keywords

cross-calibration; inter-band calibration; Hyperion; MODIS; band translation; soil line

Funding

  1. Ministry of Economy, Trade and Industry of Japan (METI)

Ask authors/readers for more resources

Recently, the growing number of hyperspectral satellite sensors have increased the demand for a flexible and robust approach to their calibration. This paper proposes an operational method for the simultaneous correction of inter-sensor and inter-band biases in hyperspectral sensors via the soil line concept for spectral band adjustment. Earth Observing-1 Hyperion was selected as an example, with the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) as a reference. The results over the Railroad Valley Playa calibration site indicated that the discrepancy in the analogous bands between Hyperion and MODIS during 2001-2008 was approximately 4-6% and 7-9% of the root-mean-square error in the top-of-atmosphere (TOA) radiance at the visible and near-infrared region and shortwave infrared region, respectively. For all Hyperion bands, the relative cross-calibration coefficients during this period were calculated (typically ranging from 0.9 to 1.1) to correct the Hyperion TOA radiance to be consistent with the MODIS and the other Hyperion bands. The application of the proposed approach could allow for more flexible cross-calibration of irregular-orbit sensors aboard the International Space Station.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Environmental Sciences

Lunar Calibration for ASTER VNIR and TIR with Observations of the Moon in 2003 and 2017

Toru Kouyama, Soushi Kato, Masakuni Kikuchi, Fumihiro Sakuma, Akira Miura, Tetsushi Tachikawa, Satoshi Tsuchida, Kenta Obata, Ryosuke Nakamura

REMOTE SENSING (2019)

Article Environmental Sciences

Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations

Satoshi Tsuchida, Hirokazu Yamamoto, Toru Kouyama, Kenta Obata, Fumihiro Sakuma, Tetsushi Tachikawa, Akihide Kamei, Kohei Arai, Jeffrey S. Czapla-Myers, Stuart F. Biggar, Kurtis J. Thome

REMOTE SENSING (2020)

Correction Chemistry, Analytical

Cross-Calibration between ASTER and MODIS Visible to Near-Infrared Bands for Improvement of ASTER Radiometric Calibration (vol 17, 1793, 2017)

Kenta Obata, Satoshi Tsuchida, Hirokazu Yamamoto, Kurt Thome

SENSORS (2020)

Article Environmental Sciences

The Wall: The Earth in True Natural Color from Real-Time Geostationary Satellite Imagery

Louis Gonzalez, Hirokazu Yamamoto

REMOTE SENSING (2020)

Article Environmental Sciences

Dynamic Mapping of Subarctic Surface Water by Fusion of Microwave and Optical Satellite Data Using Conditional Adversarial Networks

Hiroki Mizuochi, Yoshihiro Iijima, Hirohiko Nagano, Ayumi Kotani, Tetsuya Hiyama

Summary: This study used machine learning methods to monitor dynamic water mapping in eastern Siberia, filled in observational gaps in MODIS data caused by cloud interference, improved data availability, and achieved consistent results with reference data.

REMOTE SENSING (2021)

Article Chemistry, Analytical

Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations

Masataka Imai, Junichi Kurihara, Toru Kouyama, Toshinori Kuwahara, Shinya Fujita, Yuji Sakamoto, Yuji Sato, Sei-Ichi Saitoh, Takafumi Hirata, Hirokazu Yamamoto, Yukihiro Takahashi

Summary: Utilizing the Moon as a reference source for radiometric calibration, especially on microsatellites, can effectively evaluate the performance of optical sensors onboard satellites orbiting the Earth. This study shows that lunar calibration can address sensor sensitivity issues and correct sensitivity trends in the visible range.

SENSORS (2021)

Article Environmental Sciences

Development and Demonstration of a Method for GEO-to-LEO NDVI Transformation

Kenta Obata, Kenta Taniguchi, Masayuki Matsuoka, Hiroki Yoshioka

Summary: This study introduces a new method to mitigate biases between NDVI from geostationary (GEO) and low Earth orbit (LEO) satellites for Earth observation. By transforming GEO NDVI into LEO-compatible GEO NDVI, the method reduces the averaged NDVI biases between satellites, showing promising results for combining data from different platforms.

REMOTE SENSING (2021)

Article Environmental Sciences

Wavelength Extension of the Optimized Asymmetric-Order Vegetation Isoline Equation to Cover the Range from Visible to Near-Infrared

Munenori Miura, Kenta Obata, Hiroki Yoshioka

Summary: The objective of this study is to extend the wavelength limitation of the optimized asymmetric-order vegetation isoline equation and conduct an accuracy assessment over a wider range of wavelengths. The results show that the optimized asymmetric-order vegetation isoline equation demonstrates the highest accuracy among all wavelength pairs.

REMOTE SENSING (2022)

Article Geosciences, Multidisciplinary

Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model

Hiroki Mizuochi, Agnes Ducharne, Frederique Cheruy, Josefine Ghattas, Amen Al-Yaari, Jean-Pierre Wigneron, Vladislav Bastrikov, Philippe Peylin, Fabienne Maignan, Nicolas Vuichard

Summary: This study evaluates land surface models using different simulations to understand the errors and uncertainties within the models. Results show that the model performs well in representing spatiotemporal patterns, but there are uncertainties related to landscape and meteorological factors, especially in coupled mode simulations. The biases are amplified in the coupled mode, indicating a strong link between irrigation-precipitation and complex link between precipitation-evapotranspiration.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)

Proceedings Paper Geosciences, Multidisciplinary

HISUI STATUS TOWARD 2020 LAUNCH

Tsuneo Matsunaga, Akira Iwasaki, Satoshi Tsuchida, Koki Iwao, Jun Tanii, Osamu Kashimura, Ryosuke Nakamura, Hirokazu Yamamoto, Soushi Kato, Kenta Obata, Koichiro Mouri, Tetsushi Tachikawa

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

No Data Available