Article
Environmental Sciences
Xiaoxiong Xiong, Junqiang Sun, Amit Angal, Truman Wilson
Summary: This paper provides an overview of the solar and lunar calibration methodologies used for the on-orbit calibration of the RSB for MODIS and VIIRS satellites. The calibration inter-comparison results derived from regularly scheduled lunar observations are presented and compared with results obtained using Earth-view targets. The paper also discusses the challenges and ongoing efforts for future improvements in lunar calibration and inter-comparison for Earth-observing sensors.
Article
Environmental Sciences
Ramita Shah, Larry Leigh, Morakot Kaewmanee, Cibele Teixeira Pinto
Summary: The expanded Trend-to-Trend (T2T) cross-calibration technique has been validated with various models and techniques, demonstrating its potential to calibrate sensors efficiently and accurately. The validation results show good agreement and consistency between different sensors and bands, with average differences within 1%. The total uncertainty obtained using Monte Carlo Simulation varies from 2.5-5% for different sensor pairs.
Article
Environmental Sciences
Brian B. Barnes, Chuanmin Hu, Sean W. Bailey, Nima Pahlevan, Bryan A. Franz
Summary: Consistent generation of multi-sensor datasets is crucial for assessing long-term global changes with satellite instruments. Research shows that calibration assumptions in satellite ocean color data processing can introduce sensor-specific biases, affecting the accuracy of reflectance data. By evaluating SSV matchups between MODIS/Aqua and VIIRS/SNPP, it was found that VIIRS/SNPP TOA radiance data is approximately 3% higher than MODIS/A, highlighting the importance of recalibration for improving cross-sensor continuity.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Xiang Zhou, Duo Feng, Yong Xie, Zui Tao, Tingting Lv, Jin Wang
Summary: This article introduces the radiometric cross-calibration method for the GF-4/IRS camera, which involves spectral matching with the thermal emissive bands of MODIS and validation experiments to determine the approach with the highest calibration consistency.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Hafize Hasar, Ugur C. Hasar, Yunus Kaya, Taskin Oztas, Mustafa Y. Canbolat, Nevzat Aslan, Mehmet Ertugrul, Omar M. Ramahi
Summary: A new de-embedding line-line method is proposed for accurate determination of complex relative permittivity of soil samples. It bypasses the need for calibration and numerical techniques, and does not require knowledge of the electromagnetic properties and thickness of the supporting bead. The method is validated through simulations and measurements of polyethylene material.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Hafize Hasar, Ugur C. Hasar, Hamdullah Ozturk, Mucahit Izginli, Nevzat Aslan, Taskin Oztas, Mehmet Ertugrul, Mehmet Karayilan, Omar M. Ramahi
Summary: This article proposes a new microwave method for accurately determining the complex permittivity of soil samples. The method has three main advantages: a simple calibration procedure, the use of one measurement cell, and no need for numerical toolbox. The method is validated by simulations and experiments, and the calibration curves obtained from our method are comparable to those from other methods requiring complex calibration procedures.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Amit Angal, Xiaoxiong Xiong, Kurtis Thome, Brian N. Wenny
Summary: The MODIS instruments onboard Terra and Aqua spacecraft have been operational for nearly two decades, providing comprehensive observations of the Earth. RadCalNet, an initiative by CEOS, offers a unique mechanism for cross-calibration of instruments by minimizing uncertainties associated with overpass time differences. Results from comparing Terra and Aqua MODIS observations using RadCalNet data from the RRVUS site show high agreement in reflectance measurements.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Environmental Sciences
Xiaohui He, Hongli Li, Guangsheng Zhou, Zhihui Tian, Lili Wu
Summary: This study proposes a cross-radiometric calibration method to enhance the accuracy and stability of FY-4A/AGRI detection data using MODIS as a reference sensor. By analyzing and calculating image data from multiple sample regions, the feasibility of the method is demonstrated. The cross-radiometric calibration further improves the quality of FY-4A/AGRI imagery and enhances the precision of its data application.
Article
Engineering, Electrical & Electronic
Jie Han, Zui Tao, Yong Xie, Huina Li, Qiyue Liu, Xiaoguo Guan
Summary: A novel radiometric cross-calibration method for the WFV sensor is proposed in this article, using the DRCS in China and MODIS as reference sensors. Reliable calibration results can be obtained even without available corresponding reference bands, with a total uncertainty of less than 4.33%.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Xiaoling Wu, Jeffrey P. Walker, Francois Jonard, Nan Ye
Summary: Precision agriculture is developing rapidly with the availability of cost-effective data collection instruments. This article compares the performance of different sensing systems on a smart buggy platform for retrieving high resolution near-surface soil moisture. Results indicate that the L-band microwave radiometer achieves the best performance.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jie Han, Zui Tao, Yong Xie, Huina Li, Xiaoguo Guan, Hang Yi, Tingting Shi, Gengke Wang
Summary: This study addresses the insufficiency of cross-calibration methods in the wide field of view imaging system of the GaoFen-6 satellite. By using MODIS as a reference sensor, cross-calibration methods based on the TOA and BOA BRDF models are developed. The results show that the BOA BRDF model provides higher consistency with the official calibration coefficients in the cross-calibration of eight spectral bands.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Multidisciplinary
Tianyu Li, Fajie Duan, Xiao Fu, Changwen Liu, Chunjiang Liang, Anqi Chen, Xin Li
Summary: Three-dimensional reconstruction techniques are widely used, but precise endoscopic 3D measurement in tight spaces is difficult due to limited access. The existing endoscope measuring probe is complex, expensive, and not accurate. Therefore, a novel method and miniaturized endoscopic 3D sensor are introduced, based on improved line-structured light. The sensor prototype is inexpensive and achieves high-precision 3D reconstruction in restricted spaces, with an error of less than 10 μm.
Article
Environmental Sciences
Klin Li, Yutong Lu
Summary: This paper proposes a hydrological parameter calibration training framework consisting of a transformer-based parameter learning model (ParaFormer) and a surrogate model based on LSTM. ParaFormer uses self-attention mechanisms to learn a global mapping from observed data to the parameters to be calibrated, capturing spatial correlations. The surrogate model takes the calibrated parameters as inputs and simulates the observable variables, overcoming the challenges of combining complex hydrological models with a deep learning platform.
Article
Chemistry, Analytical
Sudip Paul, Rohit Sharma, Prashant Tathireddy, Ricardo Gutierrez-Osuna
Summary: In this paper, a multi-calibration ensemble approach is proposed to compensate for sensor drift in long-term application of chemical sensor arrays. The method utilizes past sensor measurements and known ground-truth data to build a regression model for predicting the concentration of target analytes. Experimental and simulation results demonstrate the superiority of the proposed approach compared to existing methods under various conditions.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Geochemistry & Geophysics
Jie Han, Zui Tao, Yong Xie, Qiyue Liu, Youju Huang
Summary: A new radiometric cross-calibration method of the PMS based on radiometric block adjustment (RBA) is proposed, which can reduce the radiometric difference between PMS images over different integration times. The method is validated at the Dunhuang radiometric calibration site and maintains high absolute radiometric calibration consistency with official calibration coefficients.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Toru Kouyama, Soushi Kato, Masakuni Kikuchi, Fumihiro Sakuma, Akira Miura, Tetsushi Tachikawa, Satoshi Tsuchida, Kenta Obata, Ryosuke Nakamura
Article
Environmental Sciences
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
Correction
Chemistry, Analytical
Kenta Obata, Satoshi Tsuchida, Hirokazu Yamamoto, Kurt Thome
Article
Environmental Sciences
Louis Gonzalez, Hirokazu Yamamoto
Article
Environmental Sciences
Kenta Obata, Hiroki Yoshioka
Article
Environmental Sciences
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.
Article
Chemistry, Analytical
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.
Article
Environmental Sciences
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.
Article
Environmental Sciences
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.
Correction
Environmental Sciences
Kenta Obata, Hiroki Yoshioka
Article
Geosciences, Multidisciplinary
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
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)