Abstract
This chapter describes the algorithm, analysis, preliminary validation, and application of the GLASS albedo product. Unlike traditional remote sensing products, the GLASS albedo product was generated in two steps: the first step retrieved albedo values from remote sensing data using two direct-estimation algorithms, and the second step applied a statistics-based temporal filter to the directly estimated albedo values to generate a high-quality, gapless final product. The GLASS albedo product has been validated using FLUXNET observation data and compared with the MODIS instrument Bidirectional Reflectance Distribution Function (BRDF)/albedo product. The results show the high quality and accuracy of the GLASS albedo product and its suitability for long-term global environmental change studies. It is one of the longest duration (1981–2010) satellite shortwave albedo products in the world.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Abdalati W, Steffen K (1997) Snowmelt on the Greenland ice sheet as derived from passive microwave satellite data. J Clim 10:165–175
Bacour C, Breon F (2005) Variability of biome reflectance directional signatures as seen by POLDER. Remote Sens Environ 98:80–95
Baldocchi D, Falge E, Gu L, Olson R, Hollinger D, Running S, Anthoni P, Bernhofer C, Davis K, Evans R (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82:2415–2434
Baret F, Morissette JT, Fernandes RA, Champeaux JL, Myneni RB, Chen J, Plummer S, Weiss M, Bacour C, Garrigues S, Nickeson JE (2006) Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP. IEEE Trans Geosci Remote Sens 44:1794–1803
Box JE, Fettweis X, Stroeve JC, Tedesco M, Hall DK, Steffen K (2012) Greenland ice sheet albedo feedback: thermodynamics and atmospheric drivers. Cryosphere 6:821–839
Bromwich DH, Chen QS, Li YF, Cullather RI (1999) Precipitation over Greenland and its relation to the North Atlantic oscillation. J Geophys Research-Atmos 104:22103–22115
Cescatti A, Marcolla B, Vannan SKS, Pan JY, Roman MO, Yang X, Ciais P, Cook RB, Law BE, Matteucci G, Migliavacca M, Moors E, Richardson AD, Seufert G, Schaaf CB (2012) Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network. Remote Sens Environ 121:323–334
Chapin FS, Sturm M, Serreze MC, McFadden JP, Key JR, Lloyd AH, McGuire AD, Rupp TS, Lynch AH, Schimel JP, Beringer J, Chapman WL, Epstein HE, Euskirchen ES, Hinzman LD, Jia G, Ping CL, Tape KD, Thompson CDC, Walker DA, Welker JM (2005) Role of land-surface changes in Arctic summer warming. Science 310:657–660
Comiso JC (2003) Warming trends in the Arctic from clear sky satellite observations. J Clim 16:3498–3510
Cui Y, Mitomi Y, Takamura T (2009) An empirical anisotropy correction model for estimating land surface albedo for radiation budget studies. Remote Sens Environ 113:24–39
Danielson JJ, Gesch DB (2011) Global multi-resolution terrain elevation data 2010. In: U.S. Department of the Interior and U.S. Geological Survey
Dickinson RE (1983) Land surface processes and climate surface albedos and energy-balance. Adv Geophys 25:305–353
Diner DJ, Martonchik JV, Borel C, Gerstl S, Gordon HR, Knyazikhin Y, Myneni R, Pinty B, Verstraete MM (2008) Multi-angle imaging spectroradiometer (MISR) level 2 surface retrieval algorithm theoretical basis (version E). Jet Propulsion Laboratory, Pasadena
Fang H, Liang S, Kim H-Y, Townshend JR, Schaaf CL, Strahler AH, Dickinson RE (2007) Developing a spatially continuous 1 km surface albedo data set over North America from Terra MODIS products. J Geophys Research-Atmos 112:D20206. doi:20210.21029/22006JD008377
Fettweis X, Hanna E, Lang C, Belleflamme A, Erpicum M, Gallée H (2013) Brief communication “Important role of the mid-tropospheric atmospheric circulation in the recent surface melt increase over the Greenland ice sheet”. Cryosphere 7:241–248
Gao F, Schaaf C, Strahler A, Roesch A, Lucht W, Dickinson R (2005) MODIS bidirectional reflectance distribution function and albedo climate modeling grid products and the variability of albedo for major global vegetation types. J Geophys Res 110:D01104
Geiger B, Roujean J, Carrer D, Meurey C (2005) Product user manual (PUM) land surface albedo. LSA SAF internal documents
Geiger B Samain O (2004) Albedo determination, algorithm theoretical basis document of the CYCLOPES project. In: Météo-France/CNRM, p 20
Govaerts Y, Lattanzio A, Taberner M, Pinty B (2008) Generating global surface albedo products from multiple geostationary satellites. Remote Sens Environ 112:2804–2816
He T, Liang S, Yu Y, Wang D, Gao F, Liu Q (2013) Greenland surface albedo changes in July 1981–2012 from satellite observations, Environmental Research Letters, (in press)
Hu BX, Lucht W, Strahler AH, Schaaf CB, Smith M (2000) Surface albedos and angle-corrected NDVI from AVHRR observations of South America. Remote Sens Environ 71:119–132
Kendall MG (1976) Rank correlation methods. 4th edn., Griffin, London
Leroy M, Deuzé J, Bréon F, Hautecoeur O, Herman M, Buriez J, Tanré D, Bouffies S, Chazette P, Roujean J (1997) Retrieval of atmospheric properties and surface bidirectional reflectances over land from POLDER/ADEOS. J Geophys Res 102:17023–17037
Li XW, Gao F, Wang JD, Strahler A (2001) A priori knowledge accumulation and its application to linear BRDF model inversion. J Geophys Research-Atmos 106:11925–11935
Liang S (2001) Narrowband to broadband conversions of land surface albedo I: algorithms. Remote Sens Environ 76:213–238
Liang S (2003) A direct algorithm for estimating land surface broadband albedos from MODIS imagery. IEEE Trans Geosci Remote Sens 41:136–145
Liang S (2004) Quantitative remote sensing of land surface. Wiley, New Jersey
Liang S (ed) (2008) Advances in land remote sensing: system, modeling, inversion and application. Springer, Berlin
Liang S, Li X, Wang J (eds) (2012) Advanced remote sensing: terrestrial information extraction and applications. Academic Press, Oxford
Liang S, Strahler A, Walthall C (1999) Retrieval of land surface albedo from satellite observations: a simulation study. J Appl Meteorol 38:712–725
Liang S, Stroeve J, Box J (2005) Mapping daily snow/ice shortwave broadband albedo from moderate resolution imaging spectroradiometer (MODIS): the improved direct retrieval algorithm and validation with Greenland in situ measurement. J Geophys Res 110:D10109
Liang S, Wang K, Zhang X, Wild M (2010) Review on estimation of land surface radiation and energy budgets from ground measurement, remote sensing and model simulations. IEEE J Spec Top Appl Earth Obs Remote Sens 3:225–240
Liang S, He T, Zhang X, Cheng J, Wang D (2013a) Remote sensing of earth surface radiation budget, in remote sensing of land surface turbulent fluxes and soil surface moisture content: state of the art. In: Petropoulos GP (ed), CRC Press, Boca raton, pp 125–165
Liang S, Zhao X, Yuan W, Liu S, Cheng X, Xiao Z, Zhang X, Liu Q, Cheng J, Tang H, Qu YH, Bo Y, Qu Y, Ren H, Yu K, Townshend J (2013b) A long-term global land surface satellite (GLASS) data-set for environmental studies. Int J Digit Earth. doi:10.1080/17538947.17532013.17805262
Liu NF, Liu Q, Wang LZ, Liang SL, Wen JG, Qu Y, Liu SH (2013a) A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data. Hydrol Earth Syst Sci 17:2121–2129
Liu Q, Wang L, Qu Y, Liu N, Liu S, Tang H, Liang S (2013b) Preliminary evaluation of the long-term GLASS albedo product. Int J Digit Earth. doi:10.1080/17538947.17532013.17804601
Liu Q, Wen JG, Qu Y, He T, Zhang XT (2012) Broadband albedo. In: Liang S, Li X, Wang J (eds.) Advanced remote sensing: terrestrial information extraction and applications Academic Press, Oxford, pp 173–230
Long CN, Gaustad KL (2004) The shortwave (SW) clear-sky detection and fitting algorithm: algorithm operational details and explanations. In: Atmospheric radiation measurement program technical report, 26 pp
Lucht W, Schaaf C, Strahler A (2002) An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Trans Geosci Remote Sens 38:977–998
Lucht W, Schaaf CB, Strahler AH (2000) An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Trans Geosci Remote Sens 38:977–998
Maignan F, Bréon F, Lacaze R (2004) Bidirectional reflectance of earth targets: evaluation of analytical models using a large set of spaceborne measurements with emphasis on the hot spot. Remote Sens Environ 90:210–220
Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259
Mason P (2005). Implementation plan for the global observing systems for climate in support of the UNFCCC. In: 21st international conference on interactive information processing systems for meteorology, oceanography, and hydrology. San Diego
Moody EG, King MD, Platnick S, Schaaf CB, Feng G (2005) Spatially complete global spectral surface albedos: value-added datasets derived from Terra MODIS land products. IEEE Trans Geosci Remote Sens 43:144–158
Mote TL (2007) Greenland surface melt trends 1973–2007: evidence of a large increase in 2007. Geophys Res Lett, 34:L22507
Muller J-P, Preusker R, Fischer J, Zuhlke M, Brockmann C, Regner P (2007) ALBEDOMAP: MERIS land surface albedo retrieval using data fusion with MODIS BRDF and its validation using contemporaneous EO and in situ data products. In: Geoscience and remote sensing symposium, 2007. IGARSS 2007. IEEE International, IEEE, pp 2404–2407
Nghiem SV, Hall DK, Mote TL, Tedesco M, Albert MR, Keegan K, Shuman CA, DiGirolamo NE, Neumann G (2012) The extreme melt across the Greenland ice sheet in 2012. Geophys Res Lett 39:L20502
Pedelty J, Devadiga S, Masuoka E, Brown M, Pinzon J, Tucker C, Roy D, Ju JC, Vermote E, Prince S, Nagol J, Justice C, Schaaf C, Liu JC, Privette J, Pinheiro A (2007) Generating a long-term land data record from the AVHRR and MODIS instruments. In: Ieee international geoscience and remote sensing symposium, Ieee, New York, pp 1021–1024
Pinty B, Roveda F, Verstraete M, Gobron N, Govaerts Y, Martonchik J, Diner D, Kahn R (2000) Surface albedo retrieval from meteosat 1 theory. J Geophys Res 105:18099–18112
Qin W, Herman J, Ahmad Z (2001) A fast, accurate algorithm to account for non-Lambertian surface effects on TOA radiance. J Geophys Res 106:22671–22684
Qu Y, Liu Q, Liang SL, Wang LZ, Liu NF, Liu SH (2013) Direct-estimation algorithm for mapping daily land-surface broadband albedo from MODIS data. IEEE Trans Geosci Remote Sens. doi:10.1109/TGRS.2013.2245670
Rahman H, Pinty B, Verstraete M (1993) Coupled surface-atmosphere reflectance (CSAR) model 2. semiempirical surface model usable with NOAA advanced very high resolution radiometer data. J Geophys Res 98:20791–20801
Roujean JL, Leroy M, Deschamps PY (1992) A bidirectional reflectance model of the earth’s surface for the correction of remote sensing data. J Geophys Res 97:20455–20468
Rutan D, Charlock T, Rose F, Kato S, Zentz S, Coleman L (2006) Global surface albedo from CERES/TERRA surface and atmospheric radiation budget (SARB) data product. In: Proceedings of 12th conference on atmospheric radiation (AMS). Madison
Saunders RW (1990) The determination of broad band surface albedo from AVHRR visible and near-infrared radiances. Int J Remote Sens 11:49–67
Schaaf C, Gao F, Strahler A, Lucht W, Li X, Tsung T, Strugll N, Zhang X, Jin Y, Muller P, Lewis P, Barnsley M, Hobson P, Disney M, Roberts G, Dunderdale M, Doll C, d’Entremont R, Hu B, Liang S, Privette J, Roy D (2002) First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sens Environ 83:135–148
Schaaf C, Martonchik J, Pinty B, Govaerts Y, Gao F, Lattanzio A, Liu J, Strahler A, Taberner M (2008) Retrieval of surface albedo from satellite sensors. In: Liang S (ed) Advances in land remote sensing: system, modelling, inversion and application, Springer, Heidelberg, pp 219–243
Strahler A, Muller J, Lucht W, Schaaf C, Tsang T, Gao F, Li X, Lewis P, Barnsley M (1999) MODIS BRDF/albedo product: algorithm theoretical basis document version 5.0. MODIS documentation
Stroeve J (2001) Assessment of Greenland albedo variability from the advanced very high resolution radiometer polar pathfinder data set. J Geophys Research-Atmos 106:33989–34006
Stroeve J, Box J, Gao F, Liang S, Nolin A, Schaaf C (2005) Accuracy assessment of the MODIS 16-day albedo product for snow: comparisons with Greenland in situ measurements. Remote Sens Environ 94:46–60
Strugnell NC, Lucht W, Schaaf C (2001) A global albedo data set derived from AVHRR data for use in climate simulations. Geophys Res Lett 28:191–194
Trishchenko AP, Luo Y, Khlopenkov KV, Wang S (2008) A method to derive the multispectral surface albedo consistent with MODIS from historical AVHRR and VGT satellite data. J Appl Meteorol Climatol 47:1199–1221
van Leeuwen W, Roujean J (2002) Land surface albedo from the synergistic use of polar (EPS) and geo-stationary (MSG) observing systems: an assessment of physical uncertainties. Remote Sens Environ 81:273–289
Vermote E, Tanré D, Deuzé J, Herman M, Morcrette J (1997) Second simulation of the satellite signal in the solar spectrum(6S), 6S User guide version 3
Vermote EF, El Saleous NZ, Justice CO (2002) Atmospheric correction of MODIS data in the visible to middle infrared: first results. Remote Sens Environ 83:97–111
Wanner W, Li X, Strahler A (1995) On the derivation of kernels for kernel-driven models of bidirectional reflectance. J Geophys Res 100:21077–21090
Weiss M, Baret F, Leroy M, Begue A, Hautecoeur O, Santer R (1999) Hemispherical reflectance and albedo estimates from the accumulation of across-track sun-synchronous satellite data. J Geophys Research-Atmos 104:22221–22232
Zhang X, Liang S, Wang K, Li L, Gui S (2010) Analysis of global land surface shortwave broadband albedo from multiple data sources. IEEE J Sel Top Appl Earth Obs Remote Sens 3:296–305
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
Liang, S., Zhang, X., Xiao, Z., Cheng, J., Liu, Q., Zhao, X. (2014). Shortwave Albedo. In: Global LAnd Surface Satellite (GLASS) Products. SpringerBriefs in Earth Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-02588-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-02588-9_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02587-2
Online ISBN: 978-3-319-02588-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)