Evaluation of relative radiometric correction techniques on Landsat 8 OLI sensor data

Novelli, Antonio; Caradonna, Grazia; Tarantino, Eufemia

doi:10.1117/12.2241002

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The radiometric calibration process should strive to achieve an absolute standard deviation of less than three percent, ensuring high accuracy and reliability in the derived measurements [4,5]. There are two approaches to radiometric correction, namely, absolute and relative calibrations [6,7]. Relative radiometric correction is an inter-image relative operation, which does not require the absolute correctness of the radiometric properties of the multi-temporal image, but only the relative consistency of the radiometric properties of the image to be corrected with the reference image, and therefore is mainly applied in change detection and time series analyses since it deals with images which have to be compared [8].…”

Section: Introductionmentioning

confidence: 99%

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

Dong

Chen

et al. 2023

Remote Sensing

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The Gaofen-1 satellite is equipped with four wide-field-of-view (WFV) instruments, enabling an impressive spatial resolution of 16 m and a combined swath exceeding 800 km. These WFV images have shown their valuable applications across diverse fields. However, achieving accurate radiometric calibration is an essential prerequisite for establishing reliable connections between satellite signals and biophysical, as well as biochemical, parameters. However, observations with large viewing angles (>20°) pose new challenges due to the bidirectional reflectance distribution function (BRDF) effect having a pronounced impact on the accuracy of cross-radiation calibrations, especially for the off-nadir WFV1 and WFV4 cameras. To overcome this challenge, a novel approach was introduced utilizing the combined observations from the Gaofen-1 and Gaofen-6 satellites, with Landsat-8 OLI serving as a reference sensor. The key advantage of this synergistic observation strategy is the ability to obtain a greater number of image pairs that closely resemble Landsat-8 OLI reference images in terms of geometry and observation dates. This increased availability of matching images ensures a more representative dataset of the observation geometry, enabling the derived calibration coefficients to be applicable across various sun–target–sensor geometries. Then, the geometry angles and bidirectional reflectance information were put into a Particle Swarm Optimization (PSO) algorithm incorporating radiative transfer modeling. This PSO-based approach formulates cross-calibration as an optimization problem, eliminating the reliance on complex BRDF models and satellite-based BRDF products that can be affected by cloud contamination. Extensive validation experiments involving satellite data and in situ measurements demonstrated an average uncertainty of less than eight percent for the proposed cross-radiation calibration scheme. Comparisons of top-of-atmosphere (TOA) results calibrated using our proposed scheme, the previous traditional radiative transfer modeling using MODIS BRDF products for BRDF correction (RTM-BRDF) method, and official coefficients reveal the superior accuracy of our method. The proposed scheme achieves a 36.99% decrease in root mean square error (RMSE) and a 38.13% increase in mean absolute error (MAE) compared to official coefficients. Moreover, it achieves comparable accuracy to the RTM-BRDF method while eliminating the need for MODIS BRDF products, with a decrease in RMSE exceeding 14% for the off-nadir WFV1 and WFV4 cameras. The results substantiate the efficacy of the proposed scheme in enhancing cross-calibration accuracy by improving image match-up selection, efficiently removing BRDF effects, and expanding applicability to diverse observation geometries.

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Section: Introductionmentioning

confidence: 99%

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

Dong

Chen

et al. 2023

Remote Sensing

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“…In the last decades, satellite image analysis has provided invaluable data for environment monitoring and change detection (CD) analysis [1][2][3]. However, remote sensing observations are instantaneous and affected by many factors (e.g.…”

Section: Introductionmentioning

confidence: 99%

A New Threshold Relative Radiometric Correction Algorithm (TRRCA) of Multiband Satellite Data

Novelli

Aguilar

Tarantino

2017

Intelligent Interactive Multimedia Systems and Services 2017

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It is well known that remote sensed scenes could be affected by many factors and, for optimum change detection, these unwanted effects must be removed. In this study a new algorithm is proposed for PIF (Pseudo Invariant Features) extraction and relative radiometric normalization. The new algorithm can be labeled as a supervised one and combines three methods for the detection of PIFs: Moment distance index (MDI), Normalized Difference Vegetation Index (NDVI) masks morphological erosion and dilate operators. In order to prove its effectiveness, the algorithm was tested by using Landsat 8 scenes of the "Mar de Plstico" landscape of the Andalusian Almería. Many tests were performed in order to provide a set of valid input parameters for the chosen environments. Lastly, the results were statistically assessed with parametric and non-parametric tests showing very good and stable results in the four different study areas.

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Exploiting Medium-Resolution Sentinel Data in Google Earth Engine for Burned Area Reflectance Classification

Capolupo,

Santoro,

Tarantino

2024

Computational Science and Its Applications – ICCSA 2024 Workshops

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Evaluation of relative radiometric correction techniques on Landsat 8 OLI sensor data

Cited by 3 publications

References 23 publications

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

A New Threshold Relative Radiometric Correction Algorithm (TRRCA) of Multiband Satellite Data

Exploiting Medium-Resolution Sentinel Data in Google Earth Engine for Burned Area Reflectance Classification

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