Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification

Samain, O.; Roujean, Jean‐Louis; Geiger, Bernhard

doi:10.1016/j.rse.2007.07.007

Cited by 45 publications

(26 citation statements)

References 33 publications

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“…The essence of the STF method is a weighted average of the albedo in neighboring days and a priori statistics. The STF method proposed in this paper has many common features with the traditional parameter estimation methods, such as Kalman filter or variational methods (Liang, 2004;Samain et al, 2008). For instance, the STF method optimizes the albedo parameters by coupling background and observational information.…”

Section: Discussionmentioning

confidence: 99%

“…Based on the standard retrieving technique of MODIS nadir BRDFadjusted reflectance products, an adapted method was employed to improve the integrity of reflectance series (Ju et al, 2010). A Kalman filter was used to improve the completeness of BRDF coefficients series (Samain et al, 2008). In the retrieving algorithm of the GlobAbledo albedo product, a regularization method was utilized to generate daily kernel coefficients (Quaife and Lewis, 2010;ESA GlobAbedo ATBD, 2012).…”

Section: Introductionmentioning

confidence: 99%

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A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data

Liu

Wang

et al. 2013

Hydrol. Earth Syst. Sci.

121

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Abstract. Land-surface albedo plays a critical role in the earth's radiant energy budget studies. Satellite remote sensing provides an effective approach to acquire regional and global albedo observations. Owing to cloud coverage, seasonal snow and sensor malfunctions, spatiotemporally continuous albedo datasets are often inaccessible. The Global LAnd Surface Satellite (GLASS) project aims at providing a suite of key land surface parameter datasets with high temporal resolution and high accuracy for a global change study. The GLASS preliminary albedo datasets are global daily land-surface albedo generated by an angular bin algorithm . Like other products, the GLASS preliminary albedo datasets are affected by large areas of missing data; beside, sharp fluctuations exist in the time series of the GLASS preliminary albedo due to data noise and algorithm uncertainties. Based on the Bayesian theory, a statisticsbased temporal filter (STF) algorithm is proposed in this paper to fill data gaps, smooth albedo time series, and generate the GLASS final albedo product. The results of the STF algorithm are smooth and gapless albedo time series, with uncertainty estimations. The performance of the STF method was tested on one tile (H25V05) and three ground stations. Results show that the STF method has greatly improved the integrity and smoothness of the GLASS final albedo product. Seasonal trends in albedo are well depicted by the GLASS final albedo product. Compared with MODerate resolution Imaging Spectroradiometer (MODIS) product, the GLASS final albedo product has a higher temporal resolution and more competence in capturing the surface albedo variations. It is recommended that the quality flag should be always checked before using the GLASS final albedo product.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data

Liu

Wang

et al. 2013

Hydrol. Earth Syst. Sci.

121

View full text Add to dashboard Cite

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“…The BRDF model implicitly models surface heterogeneity (assuming linear scaling of reflectance) [13,24,41] and it is meaningful to interpolate the BRDF model parameters and then predict reflectance from the interpolated parameter values, e.g., [42,43].…”

Section: Polder Bandmentioning

confidence: 99%

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

Roy

Zhang

2017

Remote Sensing

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Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF). The Sentinel-2 multi-spectral instrument (MSI) acquires data over a 20.6 • field of view that have been shown to have non-negligible BRDF effects in the visible, near-infrared, and short wave infrared bands. MSI red-edge BRDF effects have not been investigated. In this study, they are quantified by an examination of 6.6 million (January 2016) and 10.7 million (April 2016) pairs of forward and back scatter reflectance observations extracted over approximately 20 • × 10 • of southern Africa. Non-negligible MSI red-edge BRDF effects up to 0.08 (reflectance units) across the 290 km wide MSI swath are documented. A recently published MODIS BRDF parameter c-factor approach to adjust MSI visible, near-infrared, and short wave infrared reflectance to nadir BRDF-adjusted reflectance (NBAR) is adapted for application to the MSI red-edge bands. The red-edge band BRDF parameters needed to implement the algorithm are provided. The parameters are derived by a linear wavelength interpolation of fixed global MODIS red and NIR BRDF model parameters. The efficacy of the interpolation is investigated using POLDER red, red-edge, and NIR BRDF model parameters, and is shown to be appropriate for the c-factor NBAR generation approach. After adjustment to NBAR, red-edge MSI BRDF effects were reduced for the January data (acquired close to the solar principal where BRDF effects are maximal) and the April data (acquired close to the orthogonal plane) for all the MSI red-edge bands.

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“…Many studies have used the sequential assimilation method to estimate real-time biogeophysical variables from satellite observations for rapid land surface change monitoring. Samain et al [12] developed a time-evolving model based on ECOCLIMAP land cover to describe bidirectional reflectance distribution function (BRDF) seasonal evolution and used a Kalman filter to retrieve surface BRDF coefficients recursively each time that fresh observations became available. This approach ensured continuous production of surface BRDF parameters and improved the time consistency of the albedo product.…”

Section: Introductionmentioning

confidence: 99%

Sequential Method with Incremental Analysis Update to Retrieve Leaf Area Index from Time Series MODIS Reflectance Data

et al. 2014

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High-quality leaf area index (LAI) products retrieved from satellite observations are urgently needed for crop growth monitoring and yield estimation, land-surface process simulation and global change studies. In recent years, sequential assimilation methods have been increasingly used to retrieve LAI from time series remote-sensing data. However, the inherent characteristics of these sequential assimilation methods result in temporal discontinuities in the retrieved LAI profiles. In this study, a sequential assimilation method with incremental analysis update (IAU) was developed to jointly update model states and parameters and to retrieve temporally continuous LAI profiles from time series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data. Based on the existing multi-year Global Land Surface Satellite (GLASS) LAI product, a dynamic model was constructed to evolve LAI anomalies over time.

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Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification

Cited by 45 publications

References 33 publications

A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data

A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

Sequential Method with Incremental Analysis Update to Retrieve Leaf Area Index from Time Series MODIS Reflectance Data

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