Derivation of Hyperspectral Profile of Extended Pseudo Invariant Calibration Sites (EPICS) for Use in Sensor Calibration

Shrestha, Mahesh; Hasan, Md Nahid; Leigh, Larry; Helder, Dennis L.

doi:10.3390/rs11192279

Cited by 9 publications

(5 citation statements)

References 28 publications

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“…Independent radiometric validation has also become more important with the growing number of operational satellite constellations, many of which consist of CubeSats or nanosats that typically lack onboard calibration systems. Current groundbased techniques include automated instrumented sites [11], in situ measurements by onsite personnel [12][13][14][15][16][17][18], pseudo-invariant calibration sites (PICSs) [19], lunar observations, and mirror-based artificial targets [20,21]. Cross-calibration with suitable spaceborne and airborne sensors is also widely used for calibration and validation studies.…”

Section: Bandmentioning

confidence: 99%

The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager

Czapla-Myers,

Thome,

Anderson

et al. 2024

Remote Sensing

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This paper presents the initial vicarious radiometric calibration results for Landsat 9 OLI using a combination of ground-based techniques and test sites located in Nevada, California, and South Dakota, USA. The field data collection methods include the traditional reflectance-based approach and the automated Radiometric Calibration Test Site (RadCaTS). The results for top-of-atmosphere spectral radiance show an average ratio (OLI/ground measurements) of 1.03, 1.01, 1.00, 1.02, 1.02, 1.01, 0.98, and 1.01 for Landsat 9 OLI bands 1–8, which is within the design specification of ±5% for spectral radiance. The results for top-of-atmosphere reflectance show an average ratio (OLI/ground measurements) of 0.99, 0.99, 1.00, 1.02, 1.01, 1.02, 1.00, and 1.00 for Landsat 9 OLI bands 1–8, which is within the design specification of ±3% for top-of-atmosphere reflectance.

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Section: Bandmentioning

confidence: 99%

The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager

Czapla-Myers,

Thome,

Anderson

et al. 2024

Remote Sensing

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“…The spectral profile of the target is derived from EO-1 Hyperion hyperspectral data acquired from United States Geological Survey (USGS) EarthExplorer (https://earthexplorer. usgs.gov, accessed on 1 December 2018) over Cluster 13, and pixels containing more than 10 percent of cloud pixels are discarded, along with t images with a 5 degrees look angle or greater, as described by Shrestha et al [25]. A total of 213 hyperspectral images were obtained and were drift-corrected, along with absolute gain and bias correction [26].…”

Section: Estimation Of Spectral Band Adjustment Factormentioning

confidence: 99%

Extended Pseudo Invariant Calibration Site-Based Trend-to-Trend Cross-Calibration of Optical Satellite Sensors

et al. 2021

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Satellite sensors have been extremely useful and are in massive demand in the understanding of the Earth’s surface and monitoring of changes. For quantitative analysis and acquiring consistent measurements, absolute radiometric calibration is necessary. The most common vicarious approach of radiometric calibration is cross-calibration, which helps to tie all the sensors to a common radiometric scale for consistent measurement. One of the traditional methods of cross-calibration is performed using temporally and spectrally stable pseudo-invariant calibration sites (PICS). This technique is limited by adequate cloud-free acquisitions for cross-calibration which would require a longer time to study the differences in sensor measurements. To address the limitation of traditional PICS-based approaches and to increase the cross-calibration opportunity for quickly achieving high-quality results, the approach presented here is based on using extended pseudo invariant calibration sites (EPICS) over North Africa. With the EPICS-based approach, the area of extent of the cross-calibration site covers a large portion of the North African continent. With targets this large, many sensors should image some portion of EPICS nearlydaily, allowing for evaluation of performance with much greater frequency. By using these near-daily measurements, trends of the sensor’s performance are then used to evaluate sensor-to-sensor daily cross-calibration. With the use of the proposed methodology, the dataset for cross-calibration is increased by an order of magnitude compared to traditional approaches, resulting in the differences between any two sensors being detected within a much shorter time. Using this new trend in trend cross-calibration approaches, gains were evaluated for Landsat 7/8 and Sentinel 2A/B, with the results showing that the sensors are calibrated within 2.5% (within less than 8% uncertainty) or better for all sensor pairs, which is consistent with what the traditional PICS-based approach detects. The proposed cross-calibration technique is useful to cross-calibrate any two sensors without the requirement of any coincident or near-coincident scene pairs, while still achieving results similar to traditional approaches in a short time.

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“…A larger number of cross-calibration opportunities with a quality product will be a helpful parameter to reduce the uncertainty in the model. With a recent study, in 2019, Shrestha et al [38] generated a total of 185 hyperspectral profiles of the northern African region that had a similar spectral profile as Libya 4 (Clus-ter13). These findings could help to find near coincident scene pairs between Hyperion and Landsat 8 to perform cross-calibration.…”

Section: Model Specification and Limitationsmentioning

confidence: 99%

Hyperspectral Empirical Absolute Calibration Model Using Libya 4 Pseudo Invariant Calibration Site

et al. 2021

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The objective of this paper is to find an empirical hyperspectral absolute calibration model using Libya 4 pseudo invariant calibration site (PICS). The approach involves using the Landsat 8 (L8) Operational Land Imager (OLI) as the reference radiometer and using Earth Observing One (EO-1) Hyperion, with a spectral resolution of 10 nm as a hyperspectral source. This model utilizes data from a region of interest (ROI) in an “optimal region” of 3% temporal, spatial, and spectral stability within the Libya 4 PICS. It uses an improved, simple, empirical, hyperspectral Bidirectional Reflectance Distribution function (BRDF) model accounting for four angles: solar zenith and azimuth, and view zenith and azimuth angles. This model can perform absolute calibration in 1 nm spectral resolution by predicting TOA reflectance in all existing spectral bands of the sensors. The resultant model was validated with image data acquired from satellite sensors such as Landsat 7, Sentinel 2A, and Sentinel 2B, Terra MODIS, Aqua MODIS, from their launch date to 2020. These satellite sensors differ in terms of the width of their spectral bandpass, overpass time, off-nadir viewing capabilities, spatial resolution, and temporal revisit time, etc. The result demonstrates the efficacy of the proposed model has an accuracy of the order of 3% with a precision of about 3% for the nadir viewing sensors (with view zenith angle up to 5) used in the study. For the off-nadir viewing satellites with view zenith angle up to 20, it can have an estimated accuracy of 6% and precision of 4%.

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Derivation of Hyperspectral Profile of Extended Pseudo Invariant Calibration Sites (EPICS) for Use in Sensor Calibration

Cited by 9 publications

References 28 publications

The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager

The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager

Extended Pseudo Invariant Calibration Site-Based Trend-to-Trend Cross-Calibration of Optical Satellite Sensors

Hyperspectral Empirical Absolute Calibration Model Using Libya 4 Pseudo Invariant Calibration Site

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