Radiometric correction of RapidEye imagery using the on-orbit side-slither method

Anderson, Cody; Naughton, Denis; Brunn, Andreas; Thiele, Michael

doi:10.1117/12.898411

Cited by 27 publications

(23 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Spatial Calibration compensates for pixel-to-pixel response variations (striping, banding). A statistical approach which uses the mean detector response for each detector (CCD) over a variable timeframe as well as a side slither approach is used to achieve equal response for each detector (Anderson, 2011). The Temporal Calibration measures the in-band response across all five MSI in the constellation and corrects for MSI to MSI variations and thus keeps the detector response stable over the constellation and over the mission life.…”

Section: Calibration Conceptmentioning

confidence: 99%

Cross-Calibration of the Rapideye Multispectral Imager Payloads Using Pseudo-Invariant Test Sites

Thiele¹,

Anderson²,

Brunn³

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Radiometric calibration of the RapidEye Multispectral Imager (MSI) as with all other remote sensing instruments is an essential task in the quantitative assessment of sensor image quality and the production of accurate data products for a wide range of geo-spatial applications. Spatially and temporally pseudo-invariant terrestrial targets have long been used to quantify and provide a consistent record of the radiometric performance of Earth observation systems. The RapidEye cross-calibration approach combines temporal and relative calibration to ensure temporal stability in spectral response between it's 5 identical MSI over time by using a large number of repetitive collects of many pseudo-invariant calibration sites. The approach is characterized by its known reliability which is based on the purely statistical analysis of many ground collects with ground infrastructure or measurement systems not being necessary. The results show that the in-band percent difference in the measured response among all RapidEye sensors is less than two percent. Although the results show some offsets between the different sensors, the response of the RapidEye constellation over a three-year period is very stable.

show abstract

Section: Calibration Conceptmentioning

confidence: 99%

Cross-Calibration of the Rapideye Multispectral Imager Payloads Using Pseudo-Invariant Test Sites

Thiele¹,

Anderson²,

Brunn³

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…For SWIR wavelengths, Saharan desert sites provide high enough spectral radiance for accurate characterization. One advantage of using this method over spatially-uniform regions is that it produces very flat fields for optimal analysis [2,7]. The notable disadvantages of side-slither are that: (1) the maneuver must be carried out in place of normal Earth imaging, meaning a loss of valuable data depending on the region imaged; and (2) the "uniform" sites used are not really spatially uniform and, so, add additionally variability to detector relative gain estimates.…”

Section: Side-slither Maneuvermentioning

confidence: 99%

“…In orbit, many Earth-observing satellites employ on-board calibrators, such as lamps or diffuser panels, to provide a uniform radiance source for accurate detector non-uniformity characterization. Some satellites (e.g., the Project for On-Board Autonomy-Vegetation (PROBA-V) [1] and the RapidEye constellation [2]) contain no on-board calibrators, completely relying on Earth imagery-based methods for characterization. The purpose of this paper is to demonstrate the use of two Earth imagery-based relative radiometric calibration methods for use on Landsat 8's Operational Land Imager (OLI).…”

Section: Relative Radiometric Calibrationmentioning

confidence: 99%

Radiometric Non-Uniformity Characterization and Correction of Landsat 8 OLI Using Earth Imagery-Based Techniques

et al. 2014

View full text Add to dashboard Cite

Landsat 8 is the first satellite in the Landsat mission to acquire spectral imagery of the Earth using pushbroom sensor instruments. As a result, there are almost 70,000 unique detectors on the Operational Land Imager (OLI) alone to monitor. Due to minute variations in manufacturing and temporal degradation, every detector will exhibit a different behavior when exposed to uniform radiance, causing a noticeable striping artifact in collected imagery. Solar collects using the OLI's on-board solar diffuser panels are the primary method of characterizing detector level non-uniformity. This paper reports on an approach for using a side-slither maneuver to estimate relative detector gains within each individual focal plane module (FPM) in the OLI. A method to characterize cirrus band detector-level non-uniformity using deep convective clouds (DCCs) is also presented. These approaches are discussed, and then, correction results are compared with the diffuser-based method. Detector relative gain stability is assessed using the side-slither technique. Side-slither relative gains were found to correct streaking in test imagery with quality comparable to diffuser-based gains (within 0.005% for VNIR/PAN; 0.01% for SWIR) and identified a 0.5% temporal drift over a year. The DCC technique provided relative gains that visually decreased striping over the operational calibration in many images.

show abstract

“…Use of the 90 • yaw observation is efficient for correcting the non-uniform radiometric response among different detectors. This technique has been utilized for Hyperion [9], Quickbird [25], RapidEye [26], and Landsat 8 [27]. Using this technique, all the pixels along the cross-track direction would observe nearly the same scene.…”

Section: Calibration Site and Measurementsmentioning

confidence: 99%

Vicarious Radiometric Calibration of the Hyperspectral Imaging Microsatellites SPARK-01 and -02 over Dunhuang, China

Zhang

Chen

et al. 2018

Remote Sensing

View full text Add to dashboard Cite

Two wide-swath hyperspectral imaging microsatellites, SPARK-01 and -02, were launched on 22 December 2016. Radiometric calibration coefficients were determined for these two satellites via a calibration experiment performed from the end of February to the beginning of March 2017 at the high-altitude, homogenous Dunhuang calibration site in the Gobi Desert in China. In-situ measurements, including ground reflectance, direct transmittance, diffuse-to-global irradiance ratio, and radiosonde vertical profile, were acquired. A unique relative calibration procedure was developed using actual satellite images. This procedure included dark current computation and non-uniform correction processes. The former was computed by averaging multiple lines of long strip imagery acquired over open oceans during nighttime, while the latter was computed using images acquired after the adjustment of the satellite yaw angle to 90 • . This technique was shown to be suitable for large-swath satellite image relative calibration. After relative calibration, reflectance, irradiance, and improved irradiance-based methods were used to conduct absolute radiometric calibrations in order to predict the top-of-atmosphere (TOA) radiance. The SPARK-01 and -02 satellites passed over the calibration site on 7 March and 28 February 2017, during which time fair and non-ideal weather occurred, respectively. Thus, the SPARK-01 calibration coefficient was derived using reflectance-and irradiance-based methods, while that of SPARK -02 was derived using reflectanceand improved irradiance-based methods. The sources of calibration uncertainty, which include aerosol-type assumptions, transmittance measurements, water vapor content retrieval, spectral wavelength shift and satellite image misregistration, were explored in detail for different calibration methods. Using the reflectance and irradiance-based methods, the total uncertainty for SPARK-01 was estimated to be 4.7% and 4.1%, respectively, in the <1000 nm spectral range. For SPARK-02, total uncertainties of 8.1% and of 5.9% were estimated using the reflectance-and improved irradiance-based methods, respectively. The calibration methods were also verified using MODIS images, which confirmed that the calibration accuracies were within the expected range. These in-situ measurements, analyses, and results provide a basis for in-orbit radiometric calibration of the SPARK-01 and -02 satellites. These experiments strongly support the use of diffuse-to-global ratio measurements in in-situ vicarious calibration experiments and the addition of spectrally continuous measurements for direct transmittance, which is important for hyperspectral satellite sensors.

show abstract

Radiometric correction of RapidEye imagery using the on-orbit side-slither method

Cited by 27 publications

References 0 publications

Cross-Calibration of the Rapideye Multispectral Imager Payloads Using Pseudo-Invariant Test Sites

Cross-Calibration of the Rapideye Multispectral Imager Payloads Using Pseudo-Invariant Test Sites

Radiometric Non-Uniformity Characterization and Correction of Landsat 8 OLI Using Earth Imagery-Based Techniques

Vicarious Radiometric Calibration of the Hyperspectral Imaging Microsatellites SPARK-01 and -02 over Dunhuang, China

Contact Info

Product

Resources

About