Generating global surface albedo products from multiple geostationary satellites

Govaerts, Yves; Lattanzio, A.; Taberner, Malcolm; Pinty, B.

doi:10.1016/j.rse.2008.01.012

Cited by 48 publications

(45 citation statements)

References 13 publications

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“…Loew and Govaerts (2010) describe a surface albedo timeseries spanning 1982-2006 generated from the geostationary Meteosat First Generation (MFG) imager data (MSA product). There are also current efforts underway to extend the algorithm to other geostationary weather satellite data (Govaerts et al, 2008). These geostationary imager-based albedo products enjoy the advantage of having a large number of observations per grid cell per day, enabling large sample sizes for concurrent albedo and aerosol retrievals.…”

Section: Previous Long-term Surface Albedo Timeseriesmentioning

confidence: 99%

CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo

et al. 2013

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We present a novel 28 yr dataset of Earth's black-sky surface albedo, derived from AVHRR instruments. The dataset is created using algorithms to separately derive the surface albedo for different land use areas globally. Snow, sea ice, open water and vegetation are all treated independently. The product features corrections for the atmospheric effect in satellite-observed surface radiances, a BRDF correction for the anisotropic reflectance properties of natural surfaces, and a novel topography correction of geolocation and radiometric accuracy of surface reflectance observations over mountainous areas. The dataset is based on a homogenized AVHRR radiance timeseries. The product is validated against quality-controlled in situ observations of clear-sky surface albedo at various BSRN sites around the world. Snow and ice albedo retrieval validation is given particular attention using BSRN sites over Antarctica, Greenland Climate Network stations on the Greenland Ice Sheet (GrIS), as well as sea ice albedo data from the SHEBA and Tara expeditions. The product quality is found to be comparable to other previous long-term surface albedo datasets from AVHRR

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Section: Previous Long-term Surface Albedo Timeseriesmentioning

confidence: 99%

CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo

et al. 2013

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“…Efforts have been made to derive surface albedo from adjacent Meteosat satellites [78], which estimate consistent results in the overlapped area with acceptable difference. A global geostationary surface albedo map has been derived from five different geostationary satellites (Meteosat-7, Meteosat-5, GMS-5, GEOS-10 and GOES-8) [79], which also show good agreement among the results estimated from different satellites. It is also necessary to account for the measurement uncertainties and differences in the Meteosat radiometer characteristics.…”

Section: Estimating Albedo From Geostationary Satellite Datamentioning

confidence: 68%

“…The surface broadband albedo products estimated by polar-orbit satellites are MODIS [42,46,82], Multi-angle Imaging SpectroRadiometer (MISR) [83][84][85][86], POLDER [58,[87][88][89][90], Medium Resolution Imaging Spectrometer (MERIS) [91], VEGETATION [92], POLDER [58,93], and Clouds, Albedo and Radiation (CLARA) [94], and those estimated by geostationary satellites are Meteosat [76,79,80,[95][96][97] and SEVIRI [98,99]. [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.…”

Section: Productsmentioning

confidence: 99%

“…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. A global GSA map has been generated from five different geostationary satellites [79]. The GlobAlbedo surface albedo product was derived from collaborating the MODIS, MERIS, and VEGETATION data from 1998 to 2011, and the GLASS albedo product was derived from collaborating the AVHRR data from 1981 to 2000 and the MODIS data from 2000 to 2012.…”

Section: Productsmentioning

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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“…can be derived. Other studies have mapped surface albedo [96,97] or urban form and materials [93] to support the modeling of urban energy fluxes.…”

Section: Urban Climatementioning

confidence: 99%

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

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With urban populations and their footprints growing globally, the need to assess the dynamics of the urban environment increases. Remote sensing is one approach that can analyze these developments quantitatively with respect to spatially and temporally large scale changes. With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available. This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions of the future EnMAP mission. Regarding urban applications, four frequently addressed topics have been identified: urban development and planning, urban growth assessment, risk and vulnerability assessment and urban climate. The requirements of four application fields and associated image processing techniques used to retrieve desired parameters and create geo-information products have been reviewed. As a result, we identified promising research directions enabling the use of EnMAP for urban studies. First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. This information can subsequently be used to improve urban indicators, such as imperviousness. Second, we identified the global monitoring of urban areas as a promising field of investigation taking advantage of EnMAP's spatial coverage and revisit capability.Remote Sens. 2011, 3 1818However, owing to the limitations of EnMAPs spatial resolution for urban applications, research should also focus on hyperspectral resolution enhancement to enable retrieving material information on sub-pixel level.

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Generating global surface albedo products from multiple geostationary satellites

Cited by 48 publications

References 13 publications

CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo

CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo

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

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

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