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Spatiotemporal variations of albedo using MODIS and PCA analysis in Iran

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Abstract

The aim of this study is to investigate the spatiotemporal variations of albedo in Iran. To this aim, the daily albedo datasets of Moderate Resolution Imaging Spectroradiometer (MODIS) from onboard Aqua and Terra (MCD43A3v006) were applied for the period of 2000 to 2019 with a spatial resolution of 500 × 500 m2. First, the long-term average of Iran’s albedo was calculated; the obtained results show that the average albedo of spring, summer, autumn, and winter in Iran is 13.7%, 14.7%, 15.2%, and 19.2%, respectively. Second, the temporal-spatial variations of albedo values in Iran were analyzed using principal component analysis, and the results showed that the three main components are able to explain 97% of the data variation. The first component explains more than 74% of the total changes, the second component more than 20%, and finally, the third component explains more than 3% of the changes. Finally, the linkage between the three main components with aspect, slope, and elevation was examined in Iran. The results showed that the role of solar zenith angle, elevation, and aspect in the first and third components and also the role of slope and elevation in the second component were the most significant. In general, it can be said that snow cover in the first component, salt cover in the second component, and also snow reservoirs in the third component had albedo above average; this issue depends on the roughness and the surface of the ground. The results showed that this technique is very suitable for the analysis of the spatiotemporal variations of Albedo.

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Notes

  1. https://e4ftl01.cr.usgs.gov/MODV6_Cmp_B/MOTA/MCD43A3.006)

References

  • Alaei Taleghani M (2003) Geomorphology of Iran. Qomes Press, Tehran, pp 5–17

    Google Scholar 

  • Alibakhshi S, Crowther TW, Naimi B (2020) Land surface black-sky albedo at a fixed solar zenith angle and its relation to forest structure during peak growing season based on remote sensing data. Data in Brief 31:105720

    Article  Google Scholar 

  • Alizadeh E, Lyons SM, Castle JM, Prasad A (2016) Measuring systematic changes in invasive cancer cell shape using Zernike moments. Integr Biol 8(11):1183–1193

    Article  Google Scholar 

  • Almazroui M, Dambul R, Islam MN, Jones PD (2015) Principal components-based regionalization of the Saudi Arabian climate. Int J Climatol 35(9):2555–2573

    Article  Google Scholar 

  • American Meteorological Society, cited (2019) Climatology. Glossary of Meteorology. Available online at http://glossary.ametsoc.org/wiki/Albedo

  • Argaman E, Keesstra SD, Zeiliguer A (2012) Monitoring the impact of surface albedo on a saline lake in SW Russia. Land Degrad Dev 23(4):398–408

    Article  Google Scholar 

  • Asakareh H, Bayat A (2013) The analysis of the trend and the cycles of annual precipitation characteristics of Zanjan. Geography and Planning 17(45):121–142

    Google Scholar 

  • Bethere L, Sennikovs J, Bethers U (2017) Climate indices for the Baltic states from principal component analysis. Earth System Dynamics 8(4):951–962

    Article  Google Scholar 

  • Bro R, Smilde AK (2014) Principal component analysis. Anal Methods 6(9):2812–2831

    Article  Google Scholar 

  • Cai H, Wang J, Feng Y, Wang M, Qin Z, Dunn JB (2016) Consideration of land use change-induced surface albedo effects in life-cycle analysis of biofuels. Energy Environ Sci 9(9):2855–2867

    Article  Google Scholar 

  • Cereceda-Balic F, Vidal V, Ruggeri MF, González HE (2020) Black carbon pollution in snow and its impact on albedo near the Chilean stations on the Antarctic peninsula: first results. Sci Total Environ 743:140801

    Article  Google Scholar 

  • Cescatti A, Marcolla B, Vannan SK, Pan JY, Román MO, Yang X, Ciais P, Cook RB, Law BE, Matteucci G, Migliavacca M (2012) Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network. Remote Sens Environ 121:323–334

    Article  Google Scholar 

  • Chakravarty P, Kumar M (2019) Floral species in pollution remediation and augmentation of micrometeorological conditions and microclimate: an integrated approach. InPhytomanagement of Polluted Sites (pp 203–219). Elsevier

  • Chrysoulakis N, Mitraka Z, Gorelick N (2019) Exploiting satellite observations for global surface albedo trends monitoring. Theor Appl Climatol 137(1):1171–1179

    Article  Google Scholar 

  • Coakley Jr JA (2002) Reflectance and albedo, surface. Encyclopedia of the Atmosphere. In:  Holton JR, Curry JA (eds)

  • Cook BI, Puma MJ, Krakauer NY (2011) Irrigation induced surface cooling in the context of modern and increased greenhouse gas forcing. Clim Dyn 37(7):1587–1600

    Article  Google Scholar 

  • Craft KM, Horel JD (2019) Variations in surface albedo arising from flooding and desiccation cycles on the Bonneville Salt Flats, Utah. J Appl Meteorol Climatol 58(4):773–785

    Article  Google Scholar 

  • de Almeida TI, Penatti NC, Ferreira LG, Arantes AE, do Amaral CH (2015) Principal component analysis applied to a time series of MODIS images: the spatio-temporal variability of the Pantanal wetland, Brazil. Wetl Ecol Manag 23(4):737–748

    Article  Google Scholar 

  • Firozjaei MK, Alavipanah SK, Liu H, Sedighi A, Mijani N, Kiavarz M, Weng Q (2019) A PCA–OLS model for assessing the impact of surface biophysical parameters on land surface temperature variations. Remote Sens 11(18):2094

    Article  Google Scholar 

  • Flury B (1988) Common principal components and related models. Wiley, New York, NY

    Google Scholar 

  • Gascoin S, Ducharne A, Ribstein P, Perroy E, Wagnon P (2009) Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia). Geophys Res Lett 36(2)

  • Gayoo R, Mjontazarei M (2004) Classification of temperature regime of Iran using PCA and CA. Geo Dev Iranian J 2(4):21–34

    Google Scholar 

  • Gupta RP, Tiwari RK, Saini V, Srivastava N (2013) A simplified approach for interpreting principal component images

  • Hadley OL, Kirchstetter TW (2012) Black-carbon reduction of snow albedo. Nat Clim Chang 2(6):437–440

    Article  Google Scholar 

  • Hao D, Wen J, Xiao Q, Wu S, Lin X, Dou B, You D, Tang Y (2018) Simulation and analysis of the topographic effects on snow-free albedo over rugged terrain. Remote Sens 10(2):278

    Article  Google Scholar 

  • He T, Liang S, Song DX (2014) Analysis of global land surface albedo climatology and spatial-temporal variation during 1981–2010 from multiple satellite products. J Geophys Res Atmos 119(17):10–281

    Article  Google Scholar 

  • Hejazizadeh Z, Bazmi N, Rahimi A, Toulabi Nejad M, Bosak A (2017) Modeling of spatio-temporal of albedo over Iran. Researches in Geographical Sciences 17(47):1–17

    Google Scholar 

  • Henderson-Sellers A (1980) Albedo changes—surface surveillance from satellites. Clim Chang 2(3):275–281

    Article  Google Scholar 

  • Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Educ Psychol 24(6):417–441

    Article  Google Scholar 

  • Hotelling H (1992) Relations between two sets of variates. InBreakthroughs in statistics (pp 162–190). Springer, New York, NY

  • Hovi A, Lindberg E, Lang M, Arumäe T, Peuhkurinen J, Sirparanta S, Pyankov S, Rautiainen M (2019) Seasonal dynamics of albedo across European boreal forests: analysis of MODIS albedo and structural metrics from airborne LiDAR. Remote Sens Environ 224:365–381

    Article  Google Scholar 

  • Hu Y, Hou M, Zhao C, Zhen X, Yao L, Xu Y (2019) Human-induced changes of surface albedo in Northern China from 1992-2012. Int J Appl Earth Obs Geoinf 79:184–191

    Google Scholar 

  • Jackson JE (1980) Principal components and factor analysis: part I—principal components. J Qual Technol 12(4):201–213

    Article  Google Scholar 

  • Jackson JE (2005) A user's guide to principal components. John Wiley & Sons (Vol. 587).

  • Jolliffe IT(2002) Principal components in regression analysis. Principal component analysis, 2nd edn. New York, NY: Springer-Verlag:167-98.

  • Jolliffe IT, Cadima J (2016) Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374(2065):20150202.

  • Keikhosravi Kiany M, Masoodian SA (2016) December climatology of snow cover in Iran using remote sensing data. Ph.D. Thesis. University of Isfahan. Faculty of Geographical Sciences and Planning Department of Physical Geography

  • Keikhosrvai Kiany M, Masoudian SA (2017) Identification of snow reservoirs in Iran. Physical Geography Research Quarterly 49(3):395–408. https://doi.org/10.22059/jphgr.2017.212604.1006908

    Article  Google Scholar 

  • Kharbouche S, Muller JP (2019) Sea ice albedo from MISR and MODIS: production, validation, and trend analysis. Remote Sens 11(1):9

    Article  Google Scholar 

  • Khosravi M (2018) Multivariate climatology, application of multivariate analysis in physical geography and climatology. University of Sistan and Baluchestan.

  • Knorr W, Schnitzler KG, Govaerts Y (2001) The role of bright desert regions in shaping North African climate. Geophys Res Lett 28(18):3489–3492

    Article  Google Scholar 

  • Kumar S, Mocko D, Vuyovich C, Peters-Lidard C (2020) Impact of surface albedo assimilation on snow estimation. Remote Sens 12(4):645

    Article  Google Scholar 

  • Li Z, Yang J, Gao X, Yu Y, Zheng Z, Liu R, Wang C, Hou X, Wei Z (2019) The relationship between surface spectral albedo and soil moisture in an arid Gobi area. Theor Appl Climatol 136(3):1475–1482

    Article  Google Scholar 

  • Liang S, Fang H, Chen M, Shuey CJ, Walthall C, Daughtry C, Morisette J, Schaaf C, Strahler A (2002) Validating MODIS land surface reflectance and albedo products: methods and preliminary results. Remote Sens Environ 83(1-2):149–162

    Article  Google Scholar 

  • Liu J, Schaaf C, Strahler A, Jiao Z, Shuai Y, Zhang Q, Roman M, Augustine JA, Dutton EG (2009) Validation of Moderate Resolution Imaging Spectroradiometer (MODIS) albedo retrieval algorithm: dependence of albedo on solar zenith angle. J Geophys Res Atmos 114(D1)

  • Machiwal D, Kumar S, Meena HM, Santra P, Singh RK, Singh DV (2019) Clustering of rainfall stations and distinguishing influential factors using PCA and HCA techniques over the western dry region of India. Meteorol Appl 26(2):300–311

    Article  Google Scholar 

  • Mahmood R, Pielke RA Sr, Hubbard KG, Niyogi D, Dirmeyer PA, McAlpine C, Carleton AM, Hale R, Gameda S, Beltrán-Przekurat A, Baker B (2014) Land cover changes and their biogeophysical effects on climate. Int J Climatol 34(4):929–953

    Article  Google Scholar 

  • Malmros JK, Mernild SH, Wilson R, Tagesson T, Fensholt R (2018) Snow cover and snow albedo changes in the central Andes of Chile and Argentina from daily MODIS observations (2000–2016). Remote Sens Environ 209:240–252

    Article  Google Scholar 

  • Masoudian SA, Kaviani MR, (2008) Iran climatology: Isfahan University Press, 493

  • Meng C, Li H (2019) Assimilating satellite land surface states data from Fengyun-4A. Sci Rep 9(1):1–7. https://doi.org/10.1038/s41598-019-55733-3

    Article  Google Scholar 

  • Moore F, Rastmanesh F, Asadi H, Modabberi S (2008) Mapping mineralogical alteration using principal-component analysis and matched filter processing in the Takab area, north-west Iran, from ASTER data. Int J Remote Sens 29(10):2851–2867

    Article  Google Scholar 

  • Parmentier B (2014) Characterization of land transitions patterns from multivariate time series using seasonal trend analysis and principal component analysis. Remote Sens 6(12):12639–12665

  • Pearson K (1901) On lines of closes fit to system of points in space, London, E dinb. Dublin Philos Mag J Sci 2:559–572

    Article  Google Scholar 

  • Poesen J, Vandekerckhove L (2004) Assessment of gully headcut retreat rates in semi-arid environment over different timescales. In Gully erosion under global change. Sichuan Science and Technology Press

  • Raja NB, Aydin O (2019) Regionalization of precipitation in Mauritius: a statistical approach. Meteorol Appl 26(4):711–719

    Article  Google Scholar 

  • Rechid D, Raddatz TJ, Jacob D (2009) Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modelling. Theor Appl Climatol 95(3):245–255

    Article  Google Scholar 

  • Roesch A, Roeckner E (2006) Assessment of snow cover and surface albedo in the ECHAM5 general circulation model. J Clim 19(16):3828–3843

    Article  Google Scholar 

  • Román MO, Schaaf CB, Lewis P, Gao F, Anderson GP, Privette JL, Strahler AH, Woodcock CE, Barnsley M (2010) Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially-characterized landscapes. Remote Sens Environ 114(4):738–760

    Article  Google Scholar 

  • Ryan JC, Hubbard A, Stibal M, Box JE (2016) Attribution of Greenland's ablating ice surfaces on ice sheet albedo using unmanned aerial systems. Cryosphere Discuss 12:1–23

    Article  Google Scholar 

  • Saha MV, D'Odorico P, Scanlon TM (2017) Albedo changes after fire as an explanation of fire-induced rainfall suppression. Geophys Res Lett 44(8):3916–3923

    Article  Google Scholar 

  • Shuai Y, Schaaf CB, Strahler AH, Liu J, Jiao Z (2008) Quality assessment of BRDF/albedo retrievals in MODIS operational system. Geophys Res Lett 35(5):L05407

    Article  Google Scholar 

  • Song R, Muller JP, Kharbouche S, Woodgate W (2019) Intercomparison of surface albedo retrievals from MISR, MODIS, CGLS using tower and upscaled tower measurements. Remote Sens 11(6):644

    Article  Google Scholar 

  • Srivastava E, Carter MS (1983a) An introduction to applied multivariate statistics. Northland, New York

    Google Scholar 

  • Srivastava MS, Carter EM (1983b) An introduction to applied multivariate statistics. North-Holland

  • Tavousi T (2011) The climatic application of solar radiation in enviromental planning. Sistan and Baluchestan University Press

  • Van De Kerchove R, Lhermitte S, Veraverbeke S, Goossens R (2013) Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains. Int J Appl Earth Obs Geoinf 20:4–19

    Google Scholar 

  • Wambura FJ, Dietrich O, Lischeid G (2017) Evaluation of spatio-temporal patterns of remotely sensed evapotranspiration to infer information about hydrological behaviour in a data-scarce region. Water 9(5):333

    Article  Google Scholar 

  • Wang K, Liu J, Zhou X, Sparrow M, Ma M, Sun Z, Jiang W (2004a) Validation of the MODIS global land surface albedo product using ground measurements in a semidesert region on the Tibetan Plateau. Journal of Geophysical Research: Atmospheres 109(D5).

  • Wang S, Davidson A, Latifovic R (2004b) Impact of drought on land surface albedo. InAGU Spring Meeting Abstracts 2004 May (pp. GC41A-04)

  • Wang Z, Barlage M, Zeng X, Dickinson RE, Schaaf CB (2005) The solar zenith angle dependence of desert albedo. Geophys Res Lett 32(5)

  • Wang Z, Schaaf CB, Strahler AH, Chopping MJ, Román MO, Shuai Y, Woodcock CE, Hollinger DY, Fitzjarrald DR (2014) Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods. Remote Sens Environ 140:60–77

    Article  Google Scholar 

  • Wen J, Liu Q, Liu Q, Xiao Q, Li X (2009) Scale effect and scale correction of land-surface albedo in rugged terrain. Int J Remote Sens 30(20):5397–5420

    Article  Google Scholar 

  • IPCC (2001) Climate change 2001: synthesis report: third assessment report of the intergovernmental panel on climate change. In: Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds). Cambridge University Press, Cambridge and New York, NY

  • Yang J, Zhang D, Frangi AF, Yang JY (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 1:131–137

    Article  Google Scholar 

  • Yang F, Mitchell K, Hou YT, Dai Y, Zeng X, Wang Z, Liang XZ (2008) Dependence of land surface albedo on solar zenith angle: observations and model parameterization. J Appl Meteorol Climatol 47(11):2963–2982

    Article  Google Scholar 

  • Yang J, Li Z, Zhai P, Zhao Y, Gao X (2020) The influence of soil moisture and solar altitude on surface spectral albedo in arid area. Environ Res Lett 15(3):035010

    Article  Google Scholar 

  • Zhang Y, Li T, Wang B (2004) Decadal change of the spring snow depth over the Tibetan Plateau: the associated circulation and influence on the East Asian summer monsoon. J Clim 17(14):2780–2793

    Article  Google Scholar 

  • Zhang X, Liang S, Wang K, Li L, Gui S (2010) Analysis of global land surface shortwave broadband albedo from multiple data sources. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 3(3):296–305

    Article  Google Scholar 

  • Zhang Z, Ouyang Z, Xiao Y, Xiao Y, Xu W (2017) Using principal component analysis and annual seasonal trend analysis to assess karst rocky desertification in southwestern China. Environ Monit Assess 189(6):269

    Article  Google Scholar 

  • Zhou L, Dickinson RE, Tian Y (2005) Derivation of a soil albedo dataset from MODIS using principal component analysis: Northern Africa and the Arabian Peninsula. Geophys Res Lett 32(21)

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Acknowledgments

The authors thank the Iran National Science Foundation (INSF) to support this article (n. 98024996). We also thank the MODIS albedo science team and the Land Processes Distributed Active Archive Center (LP DAAC) for providing the MCD43A3v006 albedo data.

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [Ali Reza Karbalaee], [Zahra Hedjazizadeh] and [Seyed Abolfazl Masoodian]. The first draft of the manuscript was written by [Ali Reza Karbalaee]. and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ali Reza Karbalaee.

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Karbalaee, A.R., Hedjazizadeh, Z. & Masoodian, S.A. Spatiotemporal variations of albedo using MODIS and PCA analysis in Iran. Theor Appl Climatol 145, 245–260 (2021). https://doi.org/10.1007/s00704-021-03596-y

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