Analysis of directional effects on atmospheric correction

Franch, B.; Vermote, Éric; Sobrino, José A.; Fédèle, E.

doi:10.1016/j.rse.2012.10.018

Cited by 43 publications

(26 citation statements)

References 25 publications

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“…An extension of the method would be to correct the BRDF effect in a two-step iterative method as proposed in [37]; specifically, the calculation of the BCI could benefit from such an iteration as it relies on absolute reflectance values. This option has not yet been followed due to the currently encountered limitations in terms of processing time: an iteration would potentially double the time demand for the given method.…”

Section: Discussionmentioning

confidence: 99%

Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)

Schläpfer¹,

Richter

Feingersh

2015

IEEE Trans. Geosci. Remote Sensing

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The radiometric correction of airborne imagery aims at providing unbiased spectral information about the Earth's surface. Correction steps include system calibration, geometric correction, and the compensation for atmospheric effects. Such preprocessed data are affected by the bidirectional reflectance distribution function (BRDF), which requires an additional compensation step. We present a novel method for a surface-coverdependent BRDF effects correction (BREFCOR). It uses a continuous index based on bottom-of-atmosphere reflectances to tune the Ross-Thick Li-Sparse BRDF model. This calibrated model is then used to correct for observation-angle-dependent anisotropy. The method shows its benefits specifically for wide-field-of-view airborne systems where BRDF effects strongly affect image quality. Evaluation results are shown for sample data from a multispectral photogrammetric Leica ADS camera system and for HYSPEX imaging spectroscopy data. The scalability of the procedure for various kinds of sensor configurations allows for its operational use as part of standard processing systems. Abstract-The radiometric correction of airborne imagery aims at providing unbiased spectral information about the Earth's surface. Correction steps include system calibration, geometric correction, and the compensation for atmospheric effects. Such preprocessed data are affected by the bidirectional reflectance distribution function (BRDF), which requires an additional compensation step. We present a novel method for a surface-coverdependent BRDF effects correction (BREFCOR). It uses a continuous index based on bottom-of-atmosphere reflectances to tune the Ross-Thick Li-Sparse BRDF model. This calibrated model is then used to correct for observation-angle-dependent anisotropy. The method shows its benefits specifically for widefield-of-view airborne systems where BRDF effects strongly affect image quality. Evaluation results are shown for sample data from a multispectral photogrammetric Leica ADS camera system and for HYSPEX imaging spectroscopy data. The scalability of the procedure for various kinds of sensor configurations allows for its operational use as part of standard processing systems.

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Section: Discussionmentioning

confidence: 99%

Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)

Schläpfer¹,

Richter

Feingersh

2015

IEEE Trans. Geosci. Remote Sensing

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“…This process continues in turn until the iteration convergence criterion is met. Three iterations are found sufficient (Franch et al, ). In this paper, k ij in the Himawari bands which are influenced by aerosol is calculated using such iteration process.…”

Section: Aod Retrieving Methodologymentioning

confidence: 99%

Synergistic Retrieval of Multitemporal Aerosol Optical Depth Over North China Plain Using Geostationary Satellite Data of Himawari‐8

Shi

Cheng

et al. 2018

JGR Atmospheres

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An N‐Dimensional Cost Function (NDCF) method is introduced in this paper to simultaneously retrieve aerosol optical depth (AOD) at multiple time points by exploiting multitemporal data synergy from geostationary satellite. In the proposed method, the number of remote sensing observations used is flexible, the bidirectional reflectance effect is considered, and AOD variation in different observations is allowed. Sensitivity study shows that the relative error of the retrieved AOD decreases as the dimension of the cost function increases. The retrieval accuracy of NDCF method has been improved more than 3 times by changing the dimension of the cost function from 2 to 13. The relative error of the retrieved AOD is less than 20% if viewing zenith angle is less than 70° for dark surface or 60° for bright surface. The proposed method is applied to Advanced Himawari Imager data on board Himawari‐8 over North China Plain. Case study shows that the retrieved AOD by NDCF method demonstrates the same time variation tendency with the AErosol RObotic NETwork (AERONET) AOD measurement as well as the similar spatial distribution characteristic with Moderate‐resolution Imaging Spectrometer AOD product. The validation result shows that the NDCF method demonstrates the considerable AOD retrieval accuracy in all the three selected AERONET sites of Beijing‐Chinese Academy of Meteorological Sciences (CAMS) (slope = 0.826, R2 = 0.832), XiangHe (slope = 0.879, R2 = 0.836), and XuZhou‐China University of Mining and Technology (CUMT) (slope = 0.889, R2 = 0.730). The expected error of the NDCF method is estimated as Δτ = ±0.08 ± 0.19τ. Compared to the official Himawari product, the NDCF method improves the AOD retrieval accuracy and retrieval applicability over North China Plain of Himawari‐8/Advanced Himawari Imager data.

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“…Previously, Lee and Kaufman (1986) studied the effects of surface anisotropy on the VI and showed that the Lambertian assumption can be used safely, except the backscattering region (where solar zenith angle = view zenith angle and relative azimuth angle = 0). Recently, Franch et al (2013) also found the differences of NDVI (Lambertian assumption with BRDF compensation) within 1%. In the present study, two consecutive 10-day NDVI composites decide the slope of the model.…”

Section: Effect Of Brdf On Insat 3a Ccd Ndvimentioning

confidence: 84%

Modeling temporal growth profile of vegetation index from Indian geostationary satellite for assessing in-season progress of crop area

Nigam

Vyas

Bhattacharya

et al. 2015

GIScience & Remote Sensing

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Highlights• In-season agricultural area tracking at regular interval from geostationary satellite.• Modelling of temporal profile of vegetation index spread across two consecutive agriculture seasons to track crop area.The crop area estimates and their frequent updates in an agricultural growing season are essential to formulate policies of country's food security. A new methodology has been developed with high temporal vegetation index data at 1000 m spatial resolution from Indian geostationary satellite (INSAT 3A) to track progress of country-scale rabi (post-rainy) crop area in six agriculturally dominant states of India. The 10-day (dekad) maximum normalized difference vegetation index (NDVI) composite products at 0700 GMT (Greenwich Mean Time) were generated and used in the study. A cubic function was fitted to NDVI temporal profile on the training data-sets of 2009-2010. Model parameters were standardized over 40 agroclimatic subzones, which were used to estimate rabi crop area at 10-day interval in the next two seasons. Uncertainties in the model, in terms of days, were found to be less than (3-8 days) compositing period. The INSAT-based estimates showed -18.1% to 14.6% deviations from reported rabi crop area. Subpixel heterogeneity was found to be the major cause for the delay in crop area tracking in study region. The interseasonal variability in the estimate was consistent with the reported statistics with a correlation coefficient of 0.89. A comparative study showed that INSAT estimated rabi area had 16.36% deviation from high spatial resolution AWiFS (Advanced Wide-Field Sensor)-estimated area at 2 km × 2 km grid over ground observation points. It is recommended that high temporal NDVI product with finer spatial resolution satellite would, by offsetting the impact of subpixel heterogeneity, enable improved country-scale crop area monitoring.

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Analysis of directional effects on atmospheric correction

Cited by 43 publications

References 25 publications

Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)

Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)

Synergistic Retrieval of Multitemporal Aerosol Optical Depth Over North China Plain Using Geostationary Satellite Data of Himawari‐8

Modeling temporal growth profile of vegetation index from Indian geostationary satellite for assessing in-season progress of crop area

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