A generalized approach to the vicarious calibration of multiple Earth observation sensors using hyperspectral data

Teillet, Philippe; Fedosejevs, G.; Gauthier, Robert P.; O’Neill, N. T.; Thome, Kurtis J.; Biggar, Stuart F.; Ripley, Herbert; Meygret, Aimé

doi:10.1016/s0034-4257(01)00211-5

Cited by 96 publications

(59 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In practice, cross calibration is often performed postlaunch using one of the two approaches: 1) through statistical analysis of images concurrently acquired by the tested sensors over the same area; 25 and 2) using a vicarious calibration method to compare the predicted top-of-atmospheric radiance using a radiative transfer model and ground reference spectral data measured during satellite overpass. 26 In this study, the first approach was selected to evaluate information consistency. Instead of cross calibrating absolute radiance/ reflectance of the correspondent bands of the two sensors, we compared vegetation indices derived from surface reflectance, because they have been reported to have been successfully used to quantitatively estimate crop descriptors.…”

Section: Cross Calibration Of Vegetation Indicesmentioning

confidence: 99%

Estimating plant area index for monitoring crop growth dynamics using Landsat-8 and RapidEye images

Shang

Liu

Huffman

et al. 2014

J. Appl. Remote Sens

View full text Add to dashboard Cite

Abstract. This study investigates the use of two different optical sensors, the multispectral imager (MSI) onboard the RapidEye satellites and the operational land imager (OLI) onboard the Landsat-8 for mapping within-field variability of crop growth conditions and tracking the seasonal growth dynamics. The study was carried out in southern Ontario, Canada, during the 2013 growing season for three annual crops, corn, soybeans, and winter wheat. Plant area index (PAI) was measured at different growth stages using digital hemispherical photography at two corn fields, two winter wheat fields, and two soybean fields. Comparison between several conventional vegetation indices derived from concurrently acquired image data by the two sensors showed a good agreement. The two-band enhanced vegetation index (EVI2) and the normalized difference vegetation index (NDVI) were derived from the surface reflectance of the two sensors. The study showed that EVI2 was more resistant to saturation at high biomass range than NDVI. A linear relationship could be used for crop green effective PAI estimation from EVI2, with a coefficient of determination (R 2 ) of 0.85 and root-mean-square error of 0.53. The estimated multitemporal product of green PAI was found to be able to capture the seasonal dynamics of the three crops. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

Section: Cross Calibration Of Vegetation Indicesmentioning

confidence: 99%

Estimating plant area index for monitoring crop growth dynamics using Landsat-8 and RapidEye images

Shang

Liu

Huffman

et al. 2014

J. Appl. Remote Sens

View full text Add to dashboard Cite

show abstract

“…Approaches to sensor radiometric calibration and crosscalibration have been well-documented (Dinguirard & Slater, 1999) and new methodologies continue to evolve (Teillet et al, 2001). Briefly, consistency between different sensors starts with sound calibration of the individual sensors, including the development of a stable sensor, detailed prelaunch characterization, and on-orbit calibration.…”

Section: Radiometric Cross-calibrationmentioning

confidence: 99%

Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets

Teillet¹,

Barker

Markham

et al. 2001

Remote Sensing of Environment

Self Cite

305

151

View full text Add to dashboard Cite

Teillet, P.M.; Barker, J. L.; Markham, B. L.; Irish, R. R.; Fedosejevs, G.; and Storey, J.C., "Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets" (2001 AbstractEarly in its mission, the Landsat-7 spacecraft was temporarily placed in a ''tandem'' orbit very close to that of the Landsat-5 spacecraft in order to facilitate the establishment of sensor calibration continuity between the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-5 Thematic Mapper (TM) sensors. The key period for the tandem configuration was June 1 -4, 1999, during which hundreds of nearly coincident matching scenes were recorded by both the Landsat-7 ETM+ and, in cooperation with Space Imaging/EOSAT and international ground stations, the Landsat-5 TM as well. The paper presents a methodology for radiometric cross-calibration of the solar reflective spectral bands of the Landsat-7 ETM+ and Landsat-5 TM sensors and results based on analysis of two different tandem image pairs for which ground reference data are available. With the well-calibrated ETM+ as a reference, the tandem-based cross-calibrations for the two image pairs yield TM responsivities that are consistent to each other to within 2% or better depending on the spectral band. Comparisons with independent methods and results obtained by other groups indicate that the tandem-based cross-calibration is within 3% of the independent results on average in spectral bands 1 -4 but compares less favorably in bands 5 and 7. The present study indicates that the tandem crosscalibration approach can provide a valuable ''contemporary'' calibration update for Landsat-5 TM in the visible and near-infrared spectral bands based on the excellent radiometric performance of Landsat-7 ETM+. The methodology also incorporates adjustments for spectral band differences between the two Landsat sensors. Spectral band difference effects are shown to be more dependent on the surface reflectance spectrum than on atmospheric and illumination conditions. A variety of terrestrial surfaces are assessed regarding their suitability for Landsat radiometric cross-calibration in the absence of surface reflectance spectra. Crown

show abstract

“…Dry lake beds or playas Best calibration targets, but may be subject to soil moisture effects and snow cover [1][2][3][4][5][6][7][8][9][10][11][12][13] Deserts Potentially good calibration targets, but subject to BRDF effects if there are dunes [14][15][16][17][18][19] Ice or snow fields May work well in the VNIR, but solar zenith angles tend to be large [20][21][22][23] Semi-arid rangeland May work well if limited phenological activity and terrain flat [24][25] Grassland targets Requires surface measurements to work well; subject to phenological and BRDF effects [26][27] Atmospheric scattering Works well for specialists, but less practical to use operationally [28][29][30][31] Uniform cloud cover Works well for specialists, but less practical to use operationally [28][29]32] Ocean glint Works well for specialists, but less practical to use operationally [28,32] Multiple target types Provide a range of intensities that help improve accuracies [33][34][35][36][37][38][39]...…”

Section: Comments Referencesmentioning

confidence: 99%

“…Attempts to calibrate multiple satellite instruments imaging a given ground target one or more days apart can yield mixed results [38]. Some playa surfaces are more susceptible than others to soil moisture and related surface roughness effects such that their surface reflectances will vary slightly over time.…”

Section: Spatial Uniformity and Temporal Stability Of Test Sitesmentioning

confidence: 99%

“…some preliminary studies to collate this information, but it acknowledges that the exercise needs to be refined with the prospect of establishing some form of internationally accepted "CEOS Certification" for an appropriate sub-set of sites. It is expected that certification and the promotion of the use of certified sites as part of 'best practice' methodologies will lead to improved consistency between satellite instruments, reduced costs overall, and an ability to ensure the usefulness of the benchmark sites into the future [35,36,38,43]. Clearly, the tabulation of prime candidate test sites presented in this paper is only an early step, but one that can provide a foundation for the establishment and utilization of benchmark sites to help underpin the accurate monitoring of environmental change.…”

Section: Prime Candidate Earth Targetsmentioning

confidence: 99%

See 1 more Smart Citation

Prime candidate Earth targets for the post-launch radiometric calibration of space-based optical imaging instruments

et al. 2007

View full text Add to dashboard Cite

This paper provides a comprehensive list of prime candidate terrestrial targets for consideration as benchmark sites for the post-launch radiometric calibration of space-based instruments. The key characteristics of suitable sites are outlined primarily with respect to selection criteria, spatial uniformity, and temporal stability. The establishment and utilization of such benchmark sites is considered an important element of the radiometric traceability of satellite image data products for use in the accurate monitoring of environmental change.

show abstract

A generalized approach to the vicarious calibration of multiple Earth observation sensors using hyperspectral data

Cited by 96 publications

References 17 publications

Estimating plant area index for monitoring crop growth dynamics using Landsat-8 and RapidEye images

Estimating plant area index for monitoring crop growth dynamics using Landsat-8 and RapidEye images

Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets

Prime candidate Earth targets for the post-launch radiometric calibration of space-based optical imaging instruments

Contact Info

Product

Resources

About