830
Views
0
CrossRef citations to date
0
Altmetric
Research Article

An algorithm for retrieving aerosol optical depth from Landsat 8 Operational Land Imager in Vietnam

, , &
Article: 2228748 | Received 05 Aug 2022, Accepted 19 Jun 2023, Published online: 30 Jun 2023

References

  • AERONET Documents. 1997. http://aeronet.gsfc.nasa.gov/new_web/Documents/AERONET_V3_AOD.pdf.
  • Bilal M, Nichol JE, Bleiweiss MP, Dubois D. 2013. A Simplified high-resolution MODIS aerosol retrieval algorithm (SARA) for use over mixed surfaces. Remote Sens Environ. 136:135–145. doi: 10.1016/j.rse.2013.04.014.
  • Bilal M, Nichol JE, Chan PW. 2014. Validation and accuracy assessment of a simplified aerosol retrieval algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms. Remote Sens Environ. 153:50–60. doi: 10.1016/j.rse.2014.07.015.
  • Bodhaine BA, Wood NB, Dutton EG, Slusser JR. 1999. On Rayleigh optical depth calculations. J Atmos Oceanic Technol. 16(11):1854–1861. doi: 10.1175/1520-0426(1999)016<1854:ORODC>2.0.CO;2.
  • Cao Y, Fang X, Wang J, Li G, Cao Y, Li Y. 2020. Measuring the urban particulate matter island effect with rapid urban expansion. IJERPH. 17(15):5535. doi: 10.3390/ijerph17155535.
  • Cattrall C, Carder KL, Gordon HR. 2003. Columnar aerosol single-scattering albedo and phase function retrieved from sky radiance over the ocean: measurements of Saharan dust. J Geophys Res: Atmos. 108(D9). doi: 10.1029/2002JD002497.
  • Chen PY, Srinivasan R, Fedosejevs G, Kiniry JR. 2003. Evaluating different NDVI composite techniques using NOAA-14 AVHRR data. Int J Remote Sens. 24(17):3403–3412. doi: 10.1080/0143116021000021279.
  • Chen T, Li M, Luo L, Deng S, Zhou R, Chen D. 2020. Simulating the effects of land urbanization on regional meteorology and air quality in Yangtze River Delta, China. Appl Geogr. 120:102228. doi: 10.1016/j.apgeog.2020.102228.
  • Chudnovsky A, Tang C, Lyapustin A, Wang Y, Schwartz J, Koutrakis P. 2013. A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions. Atmos Chem Phys. 13(21):10907–10917. doi: 10.5194/acp-13-10907-2013.
  • Clarke AD, Collins WG, Rasch PJ, Kapustin VN, Moore K, Howell S, Fuelberg HE. 2001. Dust and pollution transport on global scales: aerosol measurements and model predictions. J Geophys Res. 106(D23):32,555–532,569.
  • Feizizadeh B, Blaschke T. 2013. Examining urban heat island relations to land use and air pollution: multiple endmember spectral mixture analysis for thermal remote sensing. IEEE J Sel Top Appl Earth Observations Remote Sensing. 6(3):1749–1756. doi: 10.1109/JSTARS.2013.2263425.
  • Fraser RS. 1976. Satellite measurement of mass of Sahara dust in the atmosphere. Appl Opt. 15(10):2471–2479. doi: 10.1364/AO.15.002471.
  • Fujisada H, Bailey G, Kelly G, Hara S, Abrams M. 2005. ASTER DEM performance. IEEE Trans Geosci Remote Sensing. 43(12):2707–2714. doi: 10.1109/TGRS.2005.847924.
  • Fujisada H, Urai M, Iwasaki A. 2011. Advanced methodology for ASTER DEM generation. IEEE Trans Geosci Remote Sensing. 49(12):5080–5091. doi: 10.1109/TGRS.2011.2158223.
  • Fujisada H, Urai M, Iwasaki A. 2012. Technical methodology for ASTER global DEM. IEEE Trans Geosci Remote Sensing. 50(10):3725–3736. doi: 10.1109/TGRS.2012.2187300.
  • Ganie MA, Nusrath A. 2016. Determining the vegetation indices (NDVI) from Landsat 8 satellite data. IJAR. 4(8):1459–1463. doi: 10.21474/IJAR01/1348.
  • Ge B, Li Z, Liu L, Yang L, Chen X, Hou W, Zhang Y, Li D, Li L, Qie L. 2019. A dark target method for Himawari-8/AHI aerosol retrieval: application and validation. IEEE Trans Geosci Remote Sensing. 57(1):381–394. doi: 10.1109/TGRS.2018.2854743.
  • Gupta P, Christopher SA, Wang J, Gehrig R, Lee Y, Kumar N. 2006. Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmos Environ. 40(30):5880–5892. doi: 10.1016/j.atmosenv.2006.03.016.
  • Ha , PV, Truong , NX, Laffly , D, Jourdan , A, Thanh , NTN.2019.Evaluation of maximum likelihood estimation and regression methods for fusion of multiple satellite Aerosol Optical Depth data over Vietnam. 2019 11th International Conference on Knowledge and Systems Engineering (KSE); Oct 24-26 2019
  • Halim NDA, Latif MT, Mohamed AF, Maulud KNA, Idrus S, Azhari A, Othman M, Sofwan NM. 2020. Spatial assessment of land use impact on air quality in mega urban regions, Malaysia. Sustainable Cities and Society. 63:102436. doi: 10.1016/j.scs.2020.102436.
  • Hansen JE, Travis LD. 1974. Light scattering in planetary atmospheres. Space Sci Rev. 16(4):527–610. doi: 10.1007/BF00168069.
  • Hauser A, Oesch D, Foppa N, Wunderle S. 2005. NOAA AVHRR derived aerosol optical depth over land. J Geophys Res. 110(D8): d 08204. doi: 10.1029/2004JD005439.
  • Henderson BG, Chylek P. 2005. The effect of spatial resolution on satellite aerosol optical depth retrieval. IEEE Trans Geosci Remote Sensing. 43(9):1984–1990. doi: 10.1109/TGRS.2005.852078.
  • Herman JR, Bhartia PK, Torres O, Hsu C, Seftor C, Celarier E. 1997. Global distribution of UV-absorbing aerosols from Nimbus 7/TOMS data. J Geophys Res. 102(D14):16,911–916,922.
  • Holben BN. 1986. Characteristics of maximum-value composite images from temporal AVHRR data. Int J Remote Sens. 7(11):1417–1434. doi: 10.1080/01431168608948945.
  • Holben BN, Tanré D, Smirnov A, Eck TF, Slutsker I, Abuhassan N, Zibordi G. 2001. An emerging ground-based aerosol climatology: aerosol optical depth from AERONET. J Geophys Res. 106(D11):12,067–012,097.
  • Hsu NC, Tsay S-C, King MD, Herman JR. 2004. Aerosol properties over bright reflecting source regions. IEEE Trans Geosci Remote Sensing. 42(3):557–569. doi: 10.1109/TGRS.2004.824067.
  • Hsu NC, Tsay S-C, King MD, Herman JR. 2006. Deep blue retrievals of Asian aerosol properties during ACE-Asia. IEEE Trans Geosci Remote Sensing. 44(11):3180–3195. doi: 10.1109/TGRS.2006.879540.
  • Huang J, Arnott WP, Barnard JC, Holmes HA. 2021. Theoretical uncertainty analysis of satellite retrieved aerosol optical depth associated with surface albedo and aerosol optical properties. Remote Sensing. 13(3):344. doi: 10.3390/rs13030344.
  • Jackson JM, Liu H, Laszlo I, Kondragunta S, Remer LA, Huang J, Huang H-C. 2013. Suomi-NPP VIIRS aerosol algorithms and data products. J Geophys Res Atmos. 118(22):12,673–12,689. doi: 10.1002/2013JD020449.
  • Jin Y, Hao Z, Chen J, He D, Tian Q, Mao Z, Pan D. 2021. Retrieval of urban aerosol optical depth from Landsat 8 OLI in Nanjing, China. Remote Sens. 13(3):415. doi: 10.3390/rs13030415.
  • Kahn RA, Gaitley BJ, Martonchik JV, Diner DJ, Crean KA, Holben B. 2005. Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident aerosol robotic network (AERONET) observations. J Geophys Res. 110(D10): d 10S04. doi: 10.1029/2004JD004706.
  • Kaufman YJ, Tanré D, Boucher O. 2002. A satellite view of aerosols in the climate system. Nature. 419(6903):215–223. doi: 10.1038/nature01091.
  • Kaufman YJ, Tanré D, Gordon HR, Nakajima T, Lenoble J, Frouin R, Teillet PM. 1997. Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect. J Geophys Res. 102(D14):16,815–816,830.
  • Kaufman YJ, Wald AE, Remer LA, Gao B-C, Li R-R, Flynn L. 1997. The MODIS 2.1-μmchannel-correlationwith visible reflectance for use in remote sensing of aerosol.IEEE Trans Geosci Remote Sensing. 35(5):1286–1298. doi: 10.1109/36.628795.
  • Landsat Angles Creation. 2018. [accessed 2018 March 21]. https://www.usgs.gov/media/files/landsat-89-angles-creation-tools-readme.
  • Leroy M, Deuzé JL, Bréon FM, Hautecoeur O, Herman M, Buriez JC, Roujean JL. 1997. Retrieval of atmospheric properties and surface bidirectional reflectances over land from POLDER/ADEOS. J Geophys Res. 102(D14):17023–17037.
  • Levy RC, Mattoo S, Munchak LA, Remer LA, Sayer AM, Patadia F, Hsu NC. 2013. The collection 6 MODIS aerosol products over land and ocean. Atmos Meas Tech. 6(11):2989–3034. doi: 10.5194/amt-6-2989-2013.
  • Levy RC, Remer LA, Dubovik O. 2007. Global aerosol optical properties and application to moderate resolution imaging spectroradiometer aerosol retrieval over land. J Geophys Res. 112: d 13210.
  • Levy RC, Remer LA, Kleidman RG, Mattoo S, Ichoku C, Kahn R, Eck TF. 2010. Global evaluation of the collection 5 MODIS dark-target aerosol products over land. Atmos Chem Phys Discuss. 10(6):14815–14873.
  • Levy RC, Remer LA, Mattoo S, Vermote EF, Kaufman YJ. 2007. Second-generation operational algorithm: retrieval of aerosol properties over land from inversion of moderate resolution imaging spectroradiometer spectral reflectance. J Geophys Res. 112:D13211.
  • Li C, Lau AK-H, Mao J, Chu DA. 2005. Retrieval, validation, and application of the 1-km aerosol optical depth from MODIS measurements over Hong Kong. IEEE Trans Geosci Remote Sensing. 43(11):2650–2658. doi: 10.1109/TGRS.2005.856627.
  • Li C, Zhang K, Dai Z, Ma Z, Liu X. 2020. Investigation of the impact of land-use distribution on PM2.5 in Weifang: seasonal variations. IJERPH. 17(14):5135. doi: 10.3390/ijerph17145135.
  • Li L, Yang J, Wang Y. 2014. An improved dark object method to retrieve 500 m-resolution AOT (aerosol optical thickness) image from MODIS data: a case study in the Pearl River Delta area, China. ISPRS J Photogramm Remote Sens. 89(2):1–12. doi: 10.1016/j.isprsjprs.2013.12.008.
  • Li Y, Xue Y, de Leeuw GD, Li C, Yang L, Hou T, Marir F. 2013. Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data. Remote Sens Environ. 133(133):1–20. doi: 10.1016/j.rse.2013.01.020.
  • Li Z, Niu F, Fan J, Liu Y, Rosenfeld D, Ding Y. 2011. Long-term impacts of aerosols on the vertical development of clouds and precipitation. Nature Geosci. 4(12):888–894. doi: 10.1038/ngeo1313.
  • Lin H, Li S, Xing J, He T, Yang J, Wang Q. 2021. High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images. Atmos Environ. 261:118591. doi: 10.1016/j.atmosenv.2021.118591.
  • Luo N, Wong MS, Zhao W, Yan X, Xiao F. 2015. Improved aerosol retrieval algorithm using Landsat images and its application for PM10, monitoring over urban areas. Atmos Res. 153:264–275. doi: 10.1016/j.atmosres.2014.08.012.
  • Lyapustin A, Wang Y, Laszlo I, Kahn R, Korkin S, Remer L, Levy R, Reid JS. 2011. Multi-angle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm. J Geophys Res. 116(D3):D03211. doi: 10.1029/2010JD014986.
  • Martin RV. 2008. Satellite remote sensing of surface air quality. Atmos Environ. 42(34):7823–7843. doi: 10.1016/j.atmosenv.2008.07.018.
  • Mei L, Rozanov V, Vountas M, Burrows JP, Levy RC, Lotz W. 2017. Retrieval of aerosol optical properties using MERIS observations: algorithm and some first results. Remote Sens Environ. 197:125–140. doi: 10.1016/j.rse.2016.11.015.
  • Mei L, Strandgren J, Rozanov V, Vountas M, Burrows JP, Wang Y. 2019. A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations. Int J Remote Sens. 40(18):7084–7112. doi: 10.1080/01431161.2019.1601279.
  • Mei L, Xue Y, Kokhanovsky AA, von Hoyningen-Huene WV, de Leeuw G, Burrows JP. 2013. Retrieval of aerosol optical depth over land surfaces from AVHRR data. Atmos Meas Tech Discuss. 6(1):2227–2251.
  • Mishchenko MI, Travis LD. 1997. Satellite retrieval of aerosol properties over the ocean using measurements of reflected sunlight: effect of instrumental errors and aerosol absorption. J Geophys Res. 102(D12):13543–13553.
  • MOD04_3K. [accessed 2018 April 20]. https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD04_3K.
  • Norton CC, Mosher FR, Hinton B, Martin DW, Santek D, Kuhlow W. 1980. A model for calculating desert aerosol turbidity over the oceans from geostationary satellite data. J Appl Meteor. 19(6):633–644. doi: 10.1175/1520-0450(1980)019<0633:AMFCDA>2.0.CO;2.
  • Oo MM, Jerg M, Hernandez E, Picon A, Gross BM, Moshary F, Ahmed SA. 2010. Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratio over urban scenes. IEEE Trans Geosci Remote Sensing. 48(3):983–1000. doi: 10.1109/TGRS.2009.2028333.
  • Python Fmask. [accessed 2018 Sep 3]. https://www.pythonfmask.org/.
  • Ramanathan V, Crutzen PJ, Lelieveld J, Mitra AP, Althausen D, Anderson J, Valero FPJ. 2001. Indian ocean experiment: an integrated analysis of the climate forcing and effects of the great Indo-Asian haze. J Geophys Res. 106(D22):28,371–328,398.
  • Remer LA, Kaufman YJ, Tanré D, Mattoo S, Chu DA, Martins JV, Li R-R, Ichoku C, Levy RC, Kleidman RG, et al. 2005. The MODIS aerosol algorithm, products and validation. Journal of the Atmospheric Sciences. 62(4):947–973. doi: 10.1175/JAS3385.1.
  • Remer LA, Mattoo S, Levy RC, Munchak LA. 2013. MODIS 3 km aerosol product: algorithm and global perspective. Atmos Meas Tech. 6(7):1829–1844. doi: 10.5194/amt-6-1829-2013.
  • Sayer AM, Hsu NC, Bettenhausen C, Ahmad Z, Holben BN, Smirnov A, Zhang J. 2012. Seawifs ocean aerosol retrieval (SOAR): algorithm, validation, and comparison with other data sets. J Geophys Res. 117:D03206.
  • Seong N-H, Jung D, Kim J, Han K-S. 2020. Evaluation of NDVI estimation considering atmospheric and BRDF correction through Himawari-8/AHI. Asia-Pacific J Atmos Sci. 56(2):265–274. doi: 10.1007/s13143-019-00167-0.
  • Smirnov A, Holben BN, Eck TF, Dubovik O, Slutsker I. 2000. Cloud screening and quality control algorithms for the AERONET database. Remote Sens Environ. 73(3):337–349. doi: 10.1016/S0034-4257(00)00109-7.
  • Solar Illumination and Sensor Viewing Angle Coefficient Files. 2018. [accessed 2018 Sep 3]. https://www.usgs.gov/landsat-missions/solar-illumination-and-sensor-viewing-angle-coefficient-files.
  • Sun K, C X, Zhu Z, Zhang T. 2017. High resolution aerosol optical depth retrieval using Gaofen-1WFV camera data. Remote Sens. 9(1):89. doi: 10.3390/rs9010089.
  • Sun L, Wei J, Bilal M, Tian X, Jia C, Guo Y, Mi X. 2016. Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images. Remote Sens. 8(1):23. doi: 10.3390/rs8010023.
  • Thanh PX, Anh NX, Khuong PL, Thuy DN. 2015. Optical thickness characteristics of aerosol aerosols from AERONET Vietnam station data and comparing them with MODIS data. Vietnam J Earth Sci. 37(3):252–263.
  • Tian X, Liu Q, Song Z, Dou B, Li X. 2018. Aerosol optical depth retrieval from Landsat 8 OLI images over urban areas supported by MODIS BRDF/Albedo data. IEEE Geosci Remote Sens Lett. 15(7):976–980. doi: 10.1109/LGRS.2018.2827200.
  • Torres O, Bhartia PK, Herman JR, Sinyuk A, Ginoux P, Holben B. 2002. A long-term record of aerosol optical depth from TOMS observations and comparison to AERONET measurements. J Atmos Sci. 59(3):398–413. doi: 10.1175/1520-0469(2002)059<0398:ALTROA>2.0.CO;2.
  • Using the USGS Landsat Level-1 Data Product. 2018. [accessed 2018 Sep 3]. https://www.usgs.gov/landsat-missions/using-usgs-landsat-level-1-data-product.
  • Van de Hulst HC. 1948. Scattering in a planetary atmosphere. Astrophys J. 107:220–246. doi: 10.1086/145005.
  • Wang Y, Chen L, Li S, Wang X, Yu C, Si Y, Zhang Z. 2017. Interference of heavy aerosol loading on the VIIRS aerosol optical depth (AOD) retrieval algorithm. Remote Sens. 9(4):397. doi: 10.3390/rs9040397.
  • Wei J, Huang B, Sun L, Zhang Z, Wang L, Bilal M. 2017. A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. J Geophys Res Atmos. 122(24):13,338–13,355. doi: 10.1002/2017JD026922.
  • Weng Q, Yang S. 2006. Urban air pollution patterns, land use, and thermal landscape: an examination of the linkage using GIS. Environ Monit Assess. 117(1–3):463–489. doi: 10.1007/s10661-006-0888-9.
  • Yamaguchi Y, Kahle A, Tsu H, Kawakami T, Pniel M. 1998. Overview of advanced spaceborne thermal emission and reflection radiometer (ASTER). IEEE Trans Geosci Remote Sens. 36(4):1062–1071. doi: 10.1109/36.700991.
  • Zanaga D, Van De Kerchove R, Daems D, De Keersmaecker W, Brockmann C, Kirches G, Wevers J, Cartus O. 2022. ESA WorldCover 10 m 2021 v200 (Version v200) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7254221.
  • Zhang H, Kondragunta S, Laszlo I, Liu H, Remer LA, Huang J, Superczynski S, Ciren P. 2016. An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database. J Geophys Res Atmos. 121(18):10717–10738. doi: 10.1002/2016JD024859.
  • Zhong B, Wu S, Yang A, Liu Q. 2017. An improved aerosol optical depth retrieval algorithm for moderate to high spatial resolution optical remotely sensed imagery. Remote Sens. 9(6):555. doi: 10.3390/rs9060555.
  • Zhu Z, Wang S, Woodcock CE. 2015. Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images. Remote Sens Environ. 159:269–277. doi: 10.1016/j.rse.2014.12.014.
  • Zhu Z, Woodcock CE. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sens Environ. 118:83–94. doi: 10.1016/j.rse.2011.10.028.