Direct-Estimation Algorithm for Mapping Daily Land-Surface Broadband Albedo From MODIS Data

Qu, Ying; Liu, Qiang; Liang, Shunlin; Wang, Lizhao; Liu, Nanfeng; Liu, Suhong

doi:10.1109/tgrs.2013.2245670

Cited by 180 publications

(144 citation statements)

References 37 publications

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“…The albedo product from MODIS data is based on two direct albedo estimation algorithms from surface reflectance (AB1), TOA radiance (AB2, Qu et al 2013), and the Statistics-based Temporal Filtering (STF) fusion algorithm that integrates these two intermediate albedo products (Liu et al 2012).…”

Section: Glass Albedo Productmentioning

confidence: 99%

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Liang

Zhao

Liu

et al. 2013

International Journal of Digital Earth

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Recently, five Global LAnd Surface Satellite (GLASS) products have been released: leaf area index (LAI), shortwave broadband albedo, longwave broadband emissivity, incident short radiation, and photosynthetically active radiation (PAR). The first three products cover the years 1982Á2012 (LAI) and 1981Á2010 (albedo and emissivity) at 1Á5 km and 8-day resolutions, and the last two radiation products span the period 2008Á2010 at 5 km and 3-h resolutions. These products have been evaluated and validated, and the preliminary results indicate that they are of higher quality and accuracy than the existing products. In particular, the first three products have much longer time series, and are therefore highly suitable for various environmental studies. This paper outlines the algorithms, product characteristics, preliminary validation results, potential applications and some examples of initial analysis of these products.

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Section: Glass Albedo Productmentioning

confidence: 99%

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Liang

Zhao

Liu

et al. 2013

International Journal of Digital Earth

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431

200

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“…Compared with the algorithms based on multi-date/angular observations [42,46], the direct-estimation algorithm enables the estimation of surface broadband albedo based on a single-date/angular observation, which is more capable of characterizing the temporal variation of surface albedo, especially when the surface BRDF changes rapidly [62]. Liang first proposed the direct-estimation algorithm with a lambertian spectral library based on a neural network (NN) [63] and projection pursuit regression (PPR) methods [55].…”

Section: Direct-estimation Algorithmmentioning

confidence: 99%

“…In a subsequent study, Liang et al [64] used the Discrete-Ordinate Radiative Transfer (DISORT) model for simulating the surface BRDF of snow/ice and applied an angular bin regression for estimating surface broadband albedo over the Greenland ice sheet. The BRDF database of this algorithm was further improved and applied to the MODIS [65] and Polarization and Directionality of the Earth's Reflectances (POLDER) BRDF database [62,66]. The direct-estimation algorithm has also been applied to other satellite sensors, such as the Advanced Land Imager (ALI) of EO-1 [67] and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data [68].…”

Section: Direct-estimation Algorithmmentioning

confidence: 99%

“…[62,101] In recent years, more and more products that collaborate observations of multiple platforms and sensors, such as the Geostationary surface albedo (GSA) project within the Sustained, Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) [70], GlobAlbedo [100] and the Global land surface satellite (GLASS) [101,102], were being generated. The GSA project within the SCOPE-CM [70] aims to generate reliable surface albedo product by collaborating long-term geostationary satellite data from 30 different sensors/platforms of multiple agencies.…”

Section: Productsmentioning

confidence: 99%

“…However, the spatial and temporal resolutions of current products are not adequate in some conditions. For example, when snow falls or melts, the land-surface albedo changes rapidly, which is not suitable to describe this process with weekly or monthly albedo products, and the daily surface albedo products are required [62]. In addition, the spatial resolution of surface albedo products is also important.…”

Section: Spatial and Temporal Resolutionsmentioning

confidence: 99%

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Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

et al. 2015

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Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the surfaces of the Earth, remote sensing is widely used for deriving long-term surface broadband albedo with various geostationary and polar-orbit satellite platforms in recent decades. Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling, direct-estimation algorithm and the algorithms for estimating albedo from geostationary satellite data, are developed and improved. In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms and products in a historical perspective based on citation analysis of the published literature. This paper shows that the observation technologies and accuracy requirement of applications are important, and long-term, global OPEN ACCESSRemote Sens. 2015, 7 991 fully-covered (including land, ocean, and sea-ice surfaces), gap-free, surface broadband albedo products with higher spatial and temporal resolution are required for climate change, surface energy budget, and hydrological studies.

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Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation

Wang

Liang

et al. 2013

JGR Atmospheres

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[1] Land surface albedo (LSA), part of the Visible Infrared Imaging Radiometer Suite (VIIRS) surface albedo environmental data record (EDR), is an essential variable regulating shortwave energy exchange between the land surface and the atmosphere. Two sub-algorithms, the dark pixel sub-algorithm (DPSA) and the bright pixel sub-algorithm (BPSA), were proposed for retrieving LSA from VIIRS data. The BPSA estimates LSA directly from VIIRS top-of-atmosphere (TOA) reflectance through simulation of atmospheric radiative transfer. Several changes have been made to improve the BPSA since the deployment of VIIRS. A database of the Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) is collected and converted to bidirectional reflectance at VIIRS bands. The converted reflectance is then used as input to the atmospheric radiative transfer model to generate a look-up table (LUT) of regression coefficients with consideration of surface BRDF. Before its implementation in the operational system, the new BPSA is tested on the local infrastructure. The incorporation of the surface BRDF improves the accuracy of LSA estimation and reduces the temporal variation of LSA over stable surfaces. VIIRS LSA retrievals agree well with the MODIS albedo products. Comparison with field measurements at seven Surface Radiation (SURFRAD) Network sites shows that VIIRS LSA retrieved from the LUT with surface BRDF has an R 2 value of 0.80 and root mean square error of 0.049, better than MODIS albedo products. The VIIRS results have a slight negative bias of 0.004, whereas the MODIS albedo is underestimated with a larger negative bias of 0.026.

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Direct-Estimation Algorithm for Mapping Daily Land-Surface Broadband Albedo From MODIS Data

Cited by 180 publications

References 37 publications

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation

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