scholarly journals On-orbit radiometric calibration of the optical sensors on-board SuperView-1 satellite using three independent methods

2020 ◽  
Vol 28 (8) ◽  
pp. 11085
Author(s):  
Yao-Kai Liu ◽  
Ling-Ling Ma ◽  
Ning Wang ◽  
Yong-Gang Qian ◽  
Yong-Guang Zhao ◽  
...  
Author(s):  
B. Santhi Sree ◽  
N. Raghavender ◽  
K. S. Raju ◽  
D. Chandrasekaran ◽  
B. Gopala Krishna ◽  
...  

<p><strong>Abstract.</strong> Vicarious calibration refers to methods that make use of “invariant” natural targets of the Earth for the post-launch calibration of sensors. This process of calibration is useful for initial phase orbit operation of sensor and thereafter for validation during its operational span. This method of periodic evaluation of radiometric and geometric performance of the space-borne optical sensors and validation of derived radiance/reflectance is to ensure availability of consistent and accurate data products to the user community. This paper describes one such Cal/Val facility’s design, engineering aspects and realization at National Remote Sensing Centre (NRSC), Shadnagar. The target materials used for filling the Cal/Val site are studied for its reflectance. These targets have reflectance ranging from 9% to 53%, in the VNIR (Visible and Near Infra-Red) region. This paper also describes instruments used for calibration and homogeneity studies of targets for its invariance since operationalisation (January 2016). The last section of this paper is about reflectance based absolute radiometric calibration of medium resolution Indian Remote Sensing (IRS) sensor (Resourcesat and Cartosat series) using RT model and edge based LSF/MTF estimation of high resolution sensor carried out using the Cal/Val facility.</p>


Author(s):  
H. Yamamoto ◽  
S. Tsuchida

<p><strong>Abstract.</strong> Spaceborne remotely sensed data can provide the spatial, spectral, and temporal coverage for earth monitoring. Radiometric calibration is indispensable for the accurate higher level products derived from satellite optical sensors, and the long-term radiometric calibration has a crucial role. Especially, vicarious calibration is currently the most accurate method to conduct the radiometric calibration of satellite optical sensors. Various organization and projects have been conducting the vicarious calibration experiments for satellite optical sensors. Railroad valley playa is the most popular calibration site, and we have been also acquiring the vicarious calibration data for Terra ASTER there from the past. Recently, RadCalNet (Radiometric Calibration Network) is open to the public, which is an initiative of the CEOS WGCV. Railroad valley is also one of the RadCalNet sites, and our calibration site is located at the adjacent area. Understanding the cloud cover characteristics over calibration test sites is very important for vicarious calibration and automated facilities measurement. This research evaluates the clear sky ratio for Railroad valley playa using Terra an Aqua MODIS cloud mask product (MOD35_L2 and MYD35_L2) since 2000.</p>


Ocean Science ◽  
2012 ◽  
Vol 8 (4) ◽  
pp. 567-586 ◽  
Author(s):  
G. Zibordi ◽  
K. Ruddick ◽  
I. Ansko ◽  
G. Moore ◽  
S. Kratzer ◽  
...  

Abstract. Inter-comparison of data products from simultaneous measurements performed with independent systems and methods is a viable approach to assess the consistency of data and additionally to investigate uncertainties. Within such a context the inter-comparison called Assessment of In Situ Radiometric Capabilities for Coastal Water Remote Sensing Applications (ARC) was carried out at the Acqua Alta Oceanographic Tower in the northern Adriatic Sea to explore the accuracy of in situ data products from various in- and above-water optical systems and methods. Measurements were performed under almost ideal conditions, including a stable deployment platform, clear sky, relatively low sun zenith angles and moderately low sea state. Additionally, all optical sensors involved in the experiment were inter-calibrated through absolute radiometric calibration performed with the same standards and methods. Inter-compared data products include spectral water-leaving radiance Lw (λ), above-water downward irradiance Ed(0+,λ) and remote sensing reflectance Rrs(λ). Data products from the various measurement systems/methods were directly compared to those from a single reference system/method. Results for Rrs(λ) indicate spectrally averaged values of relative differences comprised between −1 and +6%, while spectrally averaged values of absolute differences vary from approximately 6% for the above-water systems/methods to 9% for buoy-based systems/methods. The agreement between Rrs(λ) spectral relative differences and estimates of combined uncertainties of the inter-compared systems/methods is noteworthy.


2019 ◽  
Vol 11 (5) ◽  
pp. 541 ◽  
Author(s):  
Xin Jing ◽  
Larry Leigh ◽  
Cibele Teixeira Pinto ◽  
Dennis Helder

In 2013, the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV) Infrared and Visible Optical Sensors Subgroup (IVOS) established the Radiometric Calibration Network (RadCalNet), consisting of four international test sites providing automated in situ measurements and estimates of propagated top-of-atmosphere (TOA) reflectance. This work evaluates the ‘reliability’ of RadCalNet TOA reflectance data at three of these sites—RVUS, LCFR, and GONA—using Landsat 7 ETM+, Landsat 8 operational land imager (OLI), and Sentinel 2A/2B (S2A/S2B) MSI TOA reflectance data. This work identified a viewing angle effect in the MSI data at the RVUS and LCFR sites; when corrected, the overall standard deviation in relative reflectance differences decreased by approximately 2% and 0.5% at the RVUS and LCFR sites, respectively. Overall, the relative mean differences between the RadCalNet surface data and sensor data for the RVUS and GONA sites are within 5% for ETM+, OLI, and S2A MSI, with an approximately 2% higher difference in the S2B MSI data at the RVUS site. The LCFR site is different from the other two sites, with relative mean differences ranging from approximately -10% to 1%, even after performing the viewing angle effect correction on the MSI data. The data from RadCalNet are easy to acquire and use. More effort is needed to better understand the behavior at LCFR. One significant improvement on the accuracy of the RadCalNet data might be the development of a site-specific BRDF characterization and correction.


2015 ◽  
Vol 33 (2) ◽  
Author(s):  
Cibele Teixeira Pinto ◽  
Flávio Jorge Ponzoni ◽  
Ruy Morgado Castro

ABSTRACT. The vicarious absolute calibration of electro-optical sensors dedicated to the Earth observation includes the definition of a reference surface from which radiometric measurements taken from the ground are compared to the effective radiance measured by the sensor in orbit. In order to facilitate the surface radiometric characterization process and consequently the sensor radiometric calibration, it is desirable that the surface presents, besides additional characteristics, temporal reflectance stability. This study aimed to evaluate the temporal stability of two potential reference surfaces for radiometric calibration of orbital electro-optical sensors located at: Tuz Gölü Salar in Turkey and Atacama Desert in Chile. Therefore, a temporal analysis of the radiometric properties of these two surfaces using cloud free images of TM/Landsat 5 sensor, acquired from 2003 to 2011, was performed. It was concluded, based on statistical criteria, that both reference surfaces do not presented temporal stability. Nevertheless, both surfaces may still be used for sensor calibration purposes if they were submitted to further spectral characterization with higher frequency and/or if the surfaces were considered stable “enough” within a certain limit of variation in reflectance. Taking that into account, according to the results of this work, it can be stated that Tuz G¨ol¨u surface reflectance has temporal stability within a range of 3-14% and the Atacama Desert better than 6%.Keywords: Earth observation sensors, radiometric calibration, reflectance, TM/Landsat 5.RESUMO. A primeira etapa para a realização da calibração absoluta de sensores de observação da Terra é a definição de uma superfície de referência. Um dos métodos mais comuns de calibração após o lançamento do sensor utiliza medições radiométricas de áreas localizadas na superfície terrestre. Para facilitar o processode caracterização da superfície e consequentemente o processo de calibração radiométrica, é desejável que a superfície apresente, entre outras características, estabilidade temporal. Assim, este trabalho teve como objetivo avaliar a estabilidade temporal de duas superfícies de referência potenciais para a calibração radiométrica de sistemas sensores eletro-ópticos: o salar de Tuz Gölü na Turquia e o deserto de Atacama no Chile. Para tanto, foi realizada uma análise temporal do comportamento espectral das duas superfícies por meio de imagens do sensor TMabordo do Landsat 5 livres de nuvens adquiridas nos anos de 2003 a 2011.De acordo com os resultados obtidos foi possível concluir, segundo os critérios estatísticos, que as duas superfícies de referência não apresentam estabilidade temporal. Apesar disso, as duas superfícies ainda podem ser utilizadas para calibração de sensores. Nesse caso, deve-se caracterizar espectralmente as duas áreas com maior frequência e/ou considerar a superfície como sendo “suficientemente” estável se a variação na reflectância ao longo do tempo for menor do que um determinado valor. Se esta consideração for feita pode-se afirmar, segundo o resultado desse trabalho, que Tuz Gölü tem estabilidade temporal entre 3 a 14% e o deserto de Atacama melhor do que 6%.Palavras-chave: sensores de observação da Terra, calibração radiométrica, reflectância, TM/Landsat 5.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2429
Author(s):  
Masataka Imai ◽  
Junichi Kurihara ◽  
Toru Kouyama ◽  
Toshinori Kuwahara ◽  
Shinya Fujita ◽  
...  

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.


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