{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:07:23Z","timestamp":1780391243782,"version":"3.54.1"},"reference-count":85,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T00:00:00Z","timestamp":1634342400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key R &amp; D project of Sichuan Science and Technology Department","award":["2021YFQ0042"],"award-info":[{"award-number":["2021YFQ0042"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA20030302"],"award-info":[{"award-number":["XDA20030302"]}]},{"name":"National Flash Flood Investigation and Evaluation Project","award":["SHZHIWHR-57"],"award-info":[{"award-number":["SHZHIWHR-57"]}]},{"name":"National Key R&amp;D Program of China","award":["2020YFD1100701"],"award-info":[{"award-number":["2020YFD1100701"]}]},{"name":"Science and Technology Project of Xizang Autonomous Region","award":["XZ201901-GA-07"],"award-info":[{"award-number":["XZ201901-GA-07"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Variations in surface physicochemical properties and spatial structures can prominently transform surface albedo which conversely influence surface energy balances and global climate, making it crucial to continuously monitor and quantify surface dynamics at fine scales. Here, we made two improvements to propose an algorithm for the simultaneous retrieval of 30-m Landsat albedo, based on the coupling of Landsat-8 and MODIS BRDF. First, two kinds of prior knowledge were added to disaggregate BRDF, including the Anisotropic Flat Index (AFX) and the Albedo-to-Nadir reflectance ratio (AN ratio), from MODIS scales into Landsat scales. Second, a simplified data fusion method was used to simulate albedo for the same, subsequent, or antecedent dates. Finally, we validated the reliability and correlations of the algorithm at six sites of the Surface Radiation (SURFRAD) budget network and intercompared the results with another algorithm called the \u2018concurrent approach\u2019. The results showed that the proposed algorithm had favorable usability and robustness, with a root mean square error (RMSE) of 0.015 (8%) and a mean bias of \u22120.005; while the concurrent approach had a RMSE of 0.026 (14%) and a mean bias of \u22120.018. The results emphasized that the proposed algorithm has captured subtle changes in albedo over a 16-day period.<\/jats:p>","DOI":"10.3390\/rs13204150","type":"journal-article","created":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T23:25:15Z","timestamp":1634513115000},"page":"4150","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["An Algorithm for the Retrieval of High Temporal-Spatial Resolution Shortwave Albedo from Landsat-8 Surface Reflectance and MODIS BRDF"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9582-4130","authenticated-orcid":false,"given":"Gang","family":"Yang","sequence":"first","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junnan","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"},{"name":"Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Researwangjiyanch, CAS, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwei","family":"Yong","sequence":"additional","affiliation":[{"name":"School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chongchong","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaizhang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufeng","family":"He","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"He","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/S0065-2687(08)60176-4","article-title":"Land surface processes and climate\u2014Surface albedos and energy balance","volume":"25","author":"Dickinson","year":"1983","journal-title":"Adv. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/0034-4257(94)00062-R","article-title":"Land processes in climate models","volume":"51","author":"Dickinson","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.agrformet.2006.03.027","article-title":"Impact of climate variations on surface albedo of a temperate grassland","volume":"142","author":"Wang","year":"2007","journal-title":"Agric. For. Meteorol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1175\/2008BAMS2634.1","article-title":"Earth\u2019s global energy budget","volume":"90","author":"Trenberth","year":"2009","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1038\/nclimate1067","article-title":"Direct impacts on local climate of sugar-cane expansion in Brazil","volume":"1","author":"Loarie","year":"2011","journal-title":"Nat. Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2804","DOI":"10.1016\/j.rse.2008.01.012","article-title":"Generating global surface albedo products from multiple geostationary satellites","volume":"112","author":"Govaerts","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"044043","DOI":"10.1088\/1748-9326\/8\/4\/044043","article-title":"Greenland surface albedo changes in July 1981\u20132012 from satellite observations","volume":"8","author":"He","year":"2013","journal-title":"Environ. Res. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"111854","DOI":"10.1016\/j.rse.2020.111854","article-title":"Quantitative analysis of the links between forest structure and land surface albedo on a global scale","volume":"246","author":"Alibakhshi","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ye, S., Feng, H., Zou, B., Ding, Y., Zhu, S., Li, F., and Dong, G. (2021). Satellite-based estimation of the influence of land use and cover change on the surface shortwave radiation budget in a humid basin. Remote Sens., 13.","DOI":"10.3390\/rs13081447"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"An, Y., Meng, X., Zhao, L., Li, Z., Wang, S., Shang, L., Chen, H., Lyu, S., Li, G., and Ma, Y. (2020). Performance of GLASS and MODIS Satellite Albedo products in diagnosing Albedo variations during different time scales and special weather conditions in the Tibetan Plateau. Remote Sens., 12.","DOI":"10.3390\/rs12152456"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Cierniewski, J., Roujean, J.L., Jasiewicz, J., and Kr\u00f3lewicz, S. (2021). Seasonal net shortwave radiation of bare arable land in Poland and Israel according to roughness and atmospheric irradiance. Remote Sens., 13.","DOI":"10.3390\/rs13101897"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Chen, C., Tian, L., Zhu, L., and Zhou, Y. (2021). The Impact of Climate Change on the Surface Albedo over the Qinghai-Tibet Plateau. Remote Sens., 13.","DOI":"10.3390\/rs13122336"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Carrer, D., Ceamanos, X., and Roujean, J.L. (2013). Analysis of snow-free vegetation and bare soil albedos and application to numerical weather prediction. Int. Geosci. Remote Sens. Symp., 3789\u20133792.","DOI":"10.1109\/IGARSS.2013.6723656"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1038\/35041545","article-title":"Offset of the potential carbon sink from boreal forestation by decreases in surface albedo","volume":"408","author":"Betts","year":"2000","journal-title":"Nature"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0034-4257(94)00061-Q","article-title":"Remote sensing of the land surface for studies of global change: Models-algorithms-experiments","volume":"51","author":"Sellers","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1029\/2009GL038011","article-title":"Circulation responses to snow albedo feedback in climate change","volume":"36","author":"Fletcher","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_17","first-page":"316","article-title":"GCOS The Global Observing System For Climate Implementation Needs","volume":"200","author":"Bayat","year":"2016","journal-title":"World Meteorol. Organ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1109\/36.841980","article-title":"An algorithm for the retrieval of albedo from space using semiempirical BRDF models","volume":"38","author":"Lucht","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1029\/2000JD900639","article-title":"A priori knowledge accumulation and its application to linear BRDF model inversion","volume":"106","author":"Li","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0034-4257(02)00091-3","article-title":"First operational BRDF, albedo nadir reflectance products from MODIS","volume":"83","author":"Schaaf","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/S0034-4257(02)00100-1","article-title":"Land surface albedo retrieval via kernel-based BRDF modeling: I. Statistical inversion method and model comparison","volume":"84","author":"Pokrovsky","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2003.12.006","article-title":"Bidirectional reflectance of Earth targets: Evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot","volume":"90","author":"Maignan","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.rse.2017.09.020","article-title":"Evaluation of the VIIRS BRDF, Albedo and NBAR products suite and an assessment of continuity with the long term MODIS record","volume":"201","author":"Liu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4919","DOI":"10.1109\/JSTARS.2014.2302234","article-title":"Estimation of high-resolution land surface shortwave albedo from AVIRIS data","volume":"7","author":"He","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_25","unstructured":"Dominique, C., Bruno, S., Xavier, C., Jean-Louis, R., and Roselyne, L. (2021, October 13). Copernicus Global Land Operations Vegetation and Energy CGLOPS-1, Framework Service Contract 199494; Algorithm Theoretical Basis Document, Issue 2.11. Available online: https:\/\/land.copernicus.eu\/global\/sites\/cgls.vito.be\/files\/products\/CGLOPS_ATBD_SA1km-V1_I2.11.pdf."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez-Zapero, J., Camacho, F., Mart\u00ednez-S\u00e1nchez, E., Lacaze, R., Carrer, D., Pinault, F., Benhadj, I., and Mu\u00f1oz-Sabater, J. (2020). Quality assessment of PROBA-V surface Albedo V1 for the continuity of the copernicus climate change service. Remote Sens., 12.","DOI":"10.3390\/rs12162596"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Carrer, D., Moparthy, S., Lellouch, G., Ceamanos, X., Pinault, F., Freitas, S.C., and Trigo, I.F. (2018). Land surface albedo derived on a ten daily basis from Meteosat Second Generation Observations: The NRT and climate data record collections from the EUMETSAT LSA SAF. Remote Sens., 10.","DOI":"10.20944\/preprints201806.0408.v1"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Amazirh, A., Bouras, E.H., Olivera-Guerra, L.E., Er-Raki, S., and Chehbouni, A. (2021). Retrieving crop albedo based on radar sentinel-1 and random forest approach. Remote Sens., 13.","DOI":"10.3390\/rs13163181"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2015.12.035","article-title":"Structural factors driving boreal forest albedo in Finland","volume":"175","author":"Kuusinen","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.rse.2016.02.059","article-title":"Early spring post-fire snow albedo dynamics in high latitude boreal forests using Landsat-8 OLI data","volume":"185","author":"Wang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Traversa, G., Fugazza, D., Senese, A., and Frezzotti, M. (2021). Landsat 8 oli broadband albedo validation in antarctica and greenland. Remote Sens., 13.","DOI":"10.3390\/rs13040799"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ren, S., Miles, E.S., Jia, L., Menenti, M., Kneib, M., Buri, P., McCarthy, M.J., Shaw, T.E., Yang, W., and Pellicciotti, F. (2021). Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations. Remote Sens., 13.","DOI":"10.3390\/rs13091714"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/0034-4257(85)90058-6","article-title":"Inferring hemispherical reflectance of the earth\u2019s surface for global energy budgets from remotely sensed nadir or directional radiance values","volume":"18","author":"Kimes","year":"1985","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4480","DOI":"10.1109\/JSTARS.2014.2343592","article-title":"Angular effects and correction for medium resolution sensors to support crop monitoring","volume":"7","author":"Gao","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1080\/02757259409532205","article-title":"Sampling the surface bidirectional reflectance distribution function (BRDF): 1. Evaluation of current and future satellite sensors","volume":"8","author":"Barnsley","year":"1994","journal-title":"Remote Sens. Rev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.rse.2017.07.014","article-title":"The ESA Climate Change Initiative (CCI): A European contribution to the generation of the Global Climate Observing System","volume":"203","author":"Plummer","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1016\/j.rse.2011.04.019","article-title":"An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF","volume":"115","author":"Shuai","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zhang, K., Zhou, H., Wang, J., and Xue, H. (2013). Estimation and validation of high temporal and spatial resolution albedo. Int. Geosci. Remote Sens. Symp., 2888\u20132891.","DOI":"10.1109\/IGARSS.2013.6723428"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.rse.2014.07.019","article-title":"Intercomparison of Landsat albedo retrieval techniques and evaluation against in situ measurements across the US SURFRAD network","volume":"152","author":"Franch","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"10951","DOI":"10.3390\/rs70810951","article-title":"A method for retrieving daily land surface albedo from space at 30-m resolution","volume":"7","author":"Gao","year":"2015","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/TGRS.2019.2946598","article-title":"Development of the Direct-Estimation Albedo Algorithm for Snow-Free Landsat TM Albedo Retrievals Using Field Flux Measurements","volume":"58","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","first-page":"104","article-title":"Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF\/NBAR\/albedo product","volume":"59","author":"Wang","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.rse.2014.02.005","article-title":"Effects of forest age on albedo in boreal forests estimated from MODIS and Landsat albedo retrievals","volume":"145","author":"Kuusinen","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"137255","DOI":"10.1016\/j.scitotenv.2020.137255","article-title":"Climatic impacts of bushland to cropland conversion in Eastern Africa","volume":"717","author":"Abera","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1109\/TGRS.2013.2243457","article-title":"Use of in situ and airborne multiangle data to assess MODIS- and landsat-based estimates of directional reflectance and albedo","volume":"51","author":"Roman","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.rse.2018.08.025","article-title":"Preliminary assessment of 20-m surface albedo retrievals from sentinel-2A surface reflectance and MODIS\/VIIRS surface anisotropy measures","volume":"217","author":"Li","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1175\/1520-0442(2001)014<1360:AATICS>2.0.CO;2","article-title":"An algorithm to infer continental-scale Albedo from AVHRR data, land over class, and field observation of typical BRDFs","volume":"14","author":"Strugnell","year":"2001","journal-title":"J. Clim."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1029\/2000GL011580","article-title":"A global albedo data set derived from AVHRR data for use in climate simulations","volume":"28","author":"Strugnell","year":"2001","journal-title":"Geophys. Res. Lett."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"3279","DOI":"10.1109\/JSTARS.2015.2414925","article-title":"An algorithm for retrieval of surface Albedo from small view-angle airborne observations through the use of brdf archetypes as prior knowledge","volume":"8","author":"Jiao","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_50","first-page":"3144","article-title":"Effects of reflectance anisotropy on albedo retrieval from satellite observations","volume":"2017","author":"Zhang","year":"2017","journal-title":"Int. Geosci. Remote Sens. Symp."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1109\/TGRS.2006.872081","article-title":"On the blending of the landsat and MODIS surface reflectance: Predicting daily landsat surface reflectance","volume":"44","author":"Gao","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3112","DOI":"10.1016\/j.rse.2008.03.009","article-title":"Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data","volume":"112","author":"Roy","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1016\/j.rse.2009.03.007","article-title":"A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS","volume":"113","author":"Hilker","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1874","DOI":"10.1016\/j.rse.2009.04.011","article-title":"Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics","volume":"113","author":"Kaiser","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2610","DOI":"10.1016\/j.rse.2010.05.032","article-title":"An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions","volume":"114","author":"Zhu","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.rse.2016.01.023","article-title":"A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance","volume":"176","author":"Roy","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0034-4257(02)00092-5","article-title":"Validating MODIS land surface reflectance and albedo products: Methods and preliminary results","volume":"83","author":"Liang","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_58","first-page":"145","article-title":"Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 1. Validation","volume":"108","author":"Jin","year":"2003","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1109\/TGRS.2006.871564","article-title":"Validation of the MODIS Bidirectional Reflectance Distribution Function and albedo retrievals using combined observations from the Aqua and Terra platforms","volume":"44","author":"Salomon","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_60","first-page":"D01106","article-title":"Validation of moderate resolution imaging spectroradiometer (MODIS) albedo retrieval algorithm: Dependence of albedo on solar zenith angle","volume":"114","author":"Liu","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.rse.2013.08.025","article-title":"Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods","volume":"140","author":"Wang","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2476","DOI":"10.1016\/j.rse.2009.07.009","article-title":"The MODIS (Collection V005) BRDF\/albedo product: Assessment of spatial representativeness over forested landscapes","volume":"113","author":"Schaaf","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.rse.2014.07.009","article-title":"An approach for the long-term 30-m land surface snow-free albedo retrieval from historic Landsat surface reflectance and MODIS-based a priori anisotropy knowledge","volume":"152","author":"Shuai","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.rse.2016.04.008","article-title":"Preliminary analysis of the performance of the Landsat 8\/OLI land surface reflectance product","volume":"185","author":"Vermote","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_65","unstructured":"Wang, Z., Nickeson, J., and Rom\u00e1n, M. (2019). Global Surface Albedo Product Validation Best Practices Protocol. Version 1.0. Best Practice for Satellite Derived Land Product Validation: Land Product Validation Subgroup (WGCV\/CEOS), Land Product."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.rse.2013.07.023","article-title":"Re-evaluation of MODIS MCD43 greenland albedo accuracy and trends","volume":"138","author":"Stroeve","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.rse.2018.02.001","article-title":"Capturing rapid land surface dynamics with Collection V006 MODIS BRDF\/NBAR\/Albedo (MCD43) products","volume":"207","author":"Wang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Elmes, A., Levy, C., Erb, A., Hall, D.K., Scambos, T.A., Digirolamo, N., and Schaaf, C. (2021). Consequences of the 2019 greenland ice sheet melt episode on albedo. Remote Sens., 13.","DOI":"10.3390\/rs13020227"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2007GL032568","article-title":"Quality assessment of BRDF\/albedo retrievals in MODIS operational system","volume":"35","author":"Shuai","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2006.03.002","article-title":"Reflectance quantities in optical remote sensing-definitions and case studies","volume":"103","author":"Schaepman","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"20455","DOI":"10.1029\/92JD01411","article-title":"A bidirectional reflectance model of the Earth\u2019s surface for the correction of remote sensing data","volume":"97","author":"Roujean","year":"1992","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"21077","DOI":"10.1029\/95JD02371","article-title":"On the derivation of kernels for kernel-driven models of bidirectional reflectance","volume":"100","author":"Wanner","year":"1995","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_73","first-page":"368","article-title":"Derivation and validation of a new kernel for kernel-driven BRDF models","volume":"3868","author":"Li","year":"1999","journal-title":"Remote Sens. Earth Sci. Ocean. Sea Ice Appl."},{"key":"ref_74","unstructured":"Lewis, P., and Barnsley, M. (2021, October 13). Influence of the sky radiance distribution on various formulations of the earth surface albedo. Proc. Conf. Phys. Meas. Signat. Remote Sens., Available online: http:\/\/www2.geog.ucl.ac.uk\/~plewis\/LewisBarnsley1994.pdf."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.rse.2009.11.014","article-title":"Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially-characterized landscapes","volume":"114","author":"Schaaf","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/36.134083","article-title":"Shinnery Oak Bidirectional Reflectance Properties and Canopy Model Inversion","volume":"30","author":"Deering","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/S0034-4257(98)00087-X","article-title":"Characterization of the reflectance anisotropy of three Boreal forest canopies in spring-summer","volume":"67","author":"Deering","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.rse.2017.10.031","article-title":"Evaluating land surface albedo estimation from Landsat MSS, TM, ETM +, and OLI data based on the unified direct estimation approach","volume":"204","author":"He","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2013.10.017","article-title":"An anisotropic flat index (AFX) to derive BRDF archetypes from MODIS","volume":"141","author":"Jiao","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Zhang, H., Jiao, Z., Dong, Y., and Li, X. (2014). Evaluation of BRDF archetypes from MODIS multi-angular observations. IEEE Geosci. Remote Sens. Symposium., 4738\u20134741.","DOI":"10.1109\/IGARSS.2014.6947552"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"7826","DOI":"10.3390\/rs70607826","article-title":"Evaluation of BRDF archetypes for representing surface reflectance anisotropy using MODIS BRDF data","volume":"7","author":"Zhang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0034-4257(02)00068-8","article-title":"Narrowband to broadband conversions of land surface albedo: II. Validation","volume":"84","author":"Liang","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"8966","DOI":"10.3390\/rs6098966","article-title":"Derivation of land surface albedo at high resolution by combining HJ-1A\/B reflectance observations with MODIS BRDF products","volume":"6","author":"Gao","year":"2014","journal-title":"Remote Sens."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.rse.2012.02.019","article-title":"Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network","volume":"121","author":"Cescatti","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1109\/TGRS.2019.2956705","article-title":"An Improved Topography-Coupled Kernel-Driven Model for Land Surface Anisotropic Reflectance","volume":"58","author":"Hao","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4150\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:16:13Z","timestamp":1760166973000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4150"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,16]]},"references-count":85,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["rs13204150"],"URL":"https:\/\/doi.org\/10.3390\/rs13204150","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,16]]}}}