Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 1. Algorithm performance

[1] The first consistent year (November 2000 to November 2001) of global albedo product was produced at 1-km resolution every 16 days from the observations of the Moderate-Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Terra spacecraft. We evaluated the quality of the operational albedo retrievals in two ways: (1) by examining the algorithm performance using the product quality assurance (QA) fields (this paper) and (2) by comparing retrieved albedos with those observed at ground stations and by other satellite instruments (in a companion paper). The internal diagnostics of the retrieval algorithm adequately reflect the goodness of the model fit and the random noise amplification in the retrieved albedo. Global QA statistics show that the RossThick-LiSparse-Reciprocal model fits the atmospherically corrected surface reflectances very well, and the random noise amplification factors for white sky albedo and reflectance are generally less than 1.0. Cloud obscuration is the main reason for the activation of the backup magnitude retrieval algorithm. Over the 60°S to 60°N latitude band, 50% of the land pixels acquire more than six clear looks during 14–29 September 2001, and only 5% of these pixels are inverted with the backup algorithm. The latitude dependence and temporal distribution of the QA fields further demonstrate that the retrieval status mainly follows the pattern of angular sampling determined by cloud climatology and the instrument/orbit characteristics. A case study over the west coast of the United States shows that white sky shortwave albedos retrieved from magnitude inversions agree on average with those from full inversions to within 0.033 in reflectance units and have a slightly lower bias ranging from 0.014 to 0.023. We also explored the effect of residual cloud and aerosol contamination in the atmospherically corrected surface reflectance inputs in another case study over southern Africa. The quality assurance procedure of the operational MODIS bidirectional reflectance distribution function and albedo algorithm compensates for some of these residual effects and improves the albedo retrieval results by an order of 0.005 (10%) in the visible for more than 12% of pixels.

[1]  J. Roujean,et al.  A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .

[2]  G. Guyot,et al.  Physical measurements and signatures in remote sensing , 1992 .

[3]  Alan H. Strahler,et al.  Improving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  Alan H. Strahler,et al.  The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  Chad J. Shuey,et al.  Validating MODIS land surface reflectance and albedo products: methods and preliminary results , 2002 .

[6]  Ann Henderson-Sellers,et al.  Surface albedo data for climatic modeling , 1983 .

[7]  J. Privette,et al.  Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS‐like data , 1997 .

[8]  H. Rahman,et al.  Coupled surface‐atmosphere reflectance (CSAR) model: 1. Model description and inversion on synthetic data , 1993 .

[9]  Alan H. Strahler,et al.  Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy , 2002, IEEE Trans. Geosci. Remote. Sens..

[10]  B. Bonan,et al.  A Land Surface Model (LSM Version 1.0) for Ecological, Hydrological, and Atmospheric Studies: Technical Description and User's Guide , 1996 .

[11]  C. Justice,et al.  Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation , 1997 .

[12]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .

[13]  A. Strahler,et al.  On the derivation of kernels for kernel‐driven models of bidirectional reflectance , 1995 .

[14]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[15]  Piers J. Sellers,et al.  Amazonian Deforestation and Regional Climate Change , 1991 .

[16]  D. Randall,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .

[17]  R. Dickinson Land Surface Processes and Climate—Surface Albedos and Energy Balance , 1983 .

[18]  Brent M. Lofgren,et al.  Sensitivity of Land-Ocean Circulations, Precipitation, and Soil Moisture to Perturbed Land Surface Albedo. , 1995 .

[19]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[20]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[21]  P. Rowntree,et al.  Understanding the Sensitivity of a GCM Simulation of Amazonian Deforestation to the Specification of Vegetation and Soil Characteristics , 1997 .

[22]  Zong-ci Zhao,et al.  Climate change 2001, the scientific basis, chap. 8: model evaluation. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change IPCC , 2001 .

[23]  Y. Sud,et al.  A study of the influence of surface albedo on July circulation in semi‐arid regions using the glas GCM , 1982 .

[24]  Jean-Louis Roujean,et al.  A parametric hot spot model for optical remote sensing applications , 2000 .

[25]  Wolfgang Lucht,et al.  Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling , 2000 .

[26]  Alan H. Strahler,et al.  Using a multikernel least-variance approach to retrieve and evaluate albedo from limited bidirectional measurements , 2001 .

[27]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[28]  Allen B. White,et al.  Regional contrast in morning transitions observed during the 1999 Southern Oxidants Study Nashville/Middle Tennessee Intensive , 2002 .

[29]  C. Woodcock,et al.  Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation , 2003 .

[30]  G. Campbell,et al.  Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces. , 1985, Applied optics.

[31]  Jack Kornfield,et al.  A Comparative Study of the Effects of Albedo Change on Drought in Semi-Arid Regions. , 1977 .

[32]  Alan H. Strahler,et al.  Retrieval of land surface albedo from satellite observations: a simulation study , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[33]  A Lacis,et al.  Climate forcings in the industrial era. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[34]  N. C. Strugnell,et al.  A global albedo data set derived from AVHRR data for use in climate simulations , 2001 .

[35]  R. Dickinson,et al.  A fine-mesh land approach for general circulation models and its impact on regional climate , 2001 .

[36]  Alan H. Strahler,et al.  The interrelationship of atmospheric correction of reflectances and surface BRDF retrieval: a sensitivity study , 1999, IEEE Trans. Geosci. Remote. Sens..

[37]  Yves M. Govaerts,et al.  The role of Bright Desert Regions in shaping North African climate , 2001 .

[38]  Michael J. McPhaden,et al.  A comparison of tropical Pacific surface wind analyses , 1989 .

[39]  P. Sellers Remote sensing of the land surface for studies of global change , 1993 .

[40]  Alan H. Strahler,et al.  Validation of Kernel-Driven Semiempirical Models for the Surface Bidirectional Reflectance Distribution Function of Land Surfaces , 1997 .

[41]  A. Strahler,et al.  A review of reflectance nomenclature used in remote sensing , 2000 .

[42]  P. Bicheron,et al.  Bidirectional reflectance distribution function signatures of major biomes observed from space , 2000 .

[43]  Christopher O. Justice,et al.  Data sets for global remote sensing: lessons learnt† , 1994 .

[44]  N. C. Strugnell,et al.  An algorithm to infer continental-scale albedo from AVHRR data, land cover class, and field observations of typical BRDFs , 2001 .