Abstract
Satellite remote sensing, with its relatively short history, is going to play a major role in the fields that encompass topics related to place and space. Through this innovation in technology, real-time monitoring and mapping of changing phenomena on the surface of the earth has been possible. The purpose of this study was to investigate and evaluate the Kaunas city air pollutants between 14 and 25 October 2019 using environmental station data and satellite data (Terra, Aqua, OMI, and Sentinel-5P). The data obtained from satellite and the pollutant data gathered from air quality monitoring stations located in different parts of Kaunas were used. The data was downloaded for days mentioned above for the geographical bound of Kaunas city. Each data file covered an area of the size of Lithuania; hence, we should have extracted data for the area of interest, which was Kaunas city. The overall results of this study confirmed the capability of Sentinel-5P data to be used in monitoring the air quality and air pollution over the Kaunas local area. The existence of strong and acceptable correlations between satellite data and in situ measurements was indicative of the ability of satellite images to monitor air pollution, particularly over Kaunas urban areas during the fire incident in the city of Alytus.
Similar content being viewed by others
References
Alston EJ, Sokolik IN, Doddridge BG (2011) Investigation into the use of satellite data in aiding characterization of particulate air quality in the Atlanta, Georgia metropolitan area. J Air Waste Manage Assoc 61(2):211–225. https://doi.org/10.3155/1047-3289.61.2.211
Barkley MP, Abad GG, Kurosu TP, Robert Spurr R, Torbatian S, Lerot C (2017) OMI air-quality monitoring over the middle east. Atmos Chem Phys 17:4687–4709. https://doi.org/10.5194/acp-17-4687-2017
Bechle MJ, Millet DB, Marshall JD (2012) Remote sensing of exposure to NO2: satellite versus ground-based measurement in a large urban area. Atmos Environ 69:345–353. https://doi.org/10.1016/j.atmosenv.2012.11.046
Brook RD, Newby DE, Rajagopalan S (2017) The global threat of outdoor ambient air pollution to cardiovascular health: time for intervention. JAMA Cardiol 2:353–354. https://doi.org/10.1001/jamacardio.2017.0032
Brunekreef B, Holgate ST (2002) Air pollution and health. Lancet 360:1233–1242
Carn SA, Krueger AJ, Krotkov NA, Yang K, Levelt PF (2007) Sulfur dioxide emissions from Peruvian copper smelters detected by the ozone monitoring instrument. Geophys Res Lett 34:L09801. https://doi.org/10.1029/2006GL029020
Celarier EA et al (2008) Validation of Ozone monitoring instrument nitrogen dioxide columns. Geophys Res 113:D15S15. https://doi.org/10.1029/2007JD008908
Chen W, Wang H, Zhao H, Qin K (2020) Google Earth Engine–assisted black carbon radiative forcing calculation over a heavy industrial city in China. Air Qual Atmos Health 13:329–338. https://doi.org/10.1007/s11869-020-00796-9
Chu DA, Kaufman YJ, Zibordi G, Chern JD, Mao J, Li C, Holben BN (2003) Global monitoring of air pollution over land from the Earth observing system-Terra moderate resolution imaging spectroradiometer (MODIS). Geophys Res 108:4661. https://doi.org/10.1029/2002JD003179
Chu Y, Liu Y, Li X, Liu Z, Lu H, Lu Y, Liu F (2016) A review on predicting ground PM2.5 concentration using satellite aerosol optical depth. Atmosphere 7(10):129. https://doi.org/10.3390/atmos7100129
Clark LP, Millet DB, Marshall JD (2014) National patterns in environmental injustice and in-equality: outdoor NO2 air pollution in the United States. PLoS One 9:e94431. https://doi.org/10.1371/journal.pone.0094431
De Smedt I, Stavrakou T, Müller JF, van der ARJ, Van Roozendael M (2010) Trend detection in satellite observations of formaldehyde tropospheric columns. Geophys Res Lett 37:L18808. https://doi.org/10.1029/2010GL044245
De Smedt I, Stavrakou T, Hendrick F, Danckaert T, Vlemmix T, Pinardi G, Theys N, Lerot C, Gielen C, Vigouroux C, Hermans C, Fayt C, Veefkind P, Müller JF, Van Roozendael M (2015) Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations. Atmos Chem Phys 15:12519–12545. https://doi.org/10.5194/acp-15-12519-2015
Duncan BN, Prados AI, Lamsal LN, Liu Y, Streets DG, Gupta P, Hilsenrath E, Kahn RA, Nielsen JE, Beyersdorf AJ, Burton SP, Fiore AM, Fishman J, Henze DK, Hostetler CA, Krotkov NA, Lee P, Lin M, Pawson S, Pfister G, Pickering KE, Pierce RB, Yoshida Y, Ziemba LD (2014) Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid. Atmos Environ 94:647–662. https://doi.org/10.1016/j.atmosenv.2014.05.061
Duncan BN, Lamsal LN, Thompson AM, Yoshida Y, Lu Z, Streets DG, Hurwitz MM, Pickering KE (2016) A spacebased, high-resolution view of notable changes in urban NOx pollution around the world (2005–2014). Geophys Res 121:976–996. https://doi.org/10.1002/2015JD024121
El-Nadry M, Li W, El-Askary HA, Awad MA, Mostafa AR (2019) Urban health related air quality indicators over the Middle East and North Africa countries using multiple satellites and AERONET Data. Remote Sens 11:2096. https://doi.org/10.3390/rs11182096 1-24
Emili E, Popp C, Petitta M, Riffler M, Wunderle S, Zebisch M (2010) PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region. Remote Sens Environ 114(11):2485–2499. https://doi.org/10.1016/j.rse.2010.05.024
Evans KA, Halterman JS, Hopke PK, Fagnano M, Rich DQ (2014) Increased ultrafine particles and carbon monoxide concentrations are associated with asthma exacerbation among urban children. Environ Res 129:11–19. https://doi.org/10.1016/j.envres.2013.12.001
Ghude SD, Fadnavis S, Beig G, Polade SD, van der ARJ (2008) Detection of surface emission hot spots, trends, and seasonal cycle from satellite-retrieved NO2 over India. Geophys Res 113:D20305. https://doi.org/10.1029/2007JD009615
Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google earth engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031
Hilboll A, Richter A, Burrows JP (2013) Long-term changes of tropospheric NO2 over megacities derived from multiple satellite instruments. Atmos Chem Phys 13:4145–4169. https://doi.org/10.5194/acp-13-4145-2013
Hoek G, Krishnan RM, Beelen R, Peters A, Ostro B, Brunekreef B, Kaufman JD (2013) Long-term air pollution exposure and cardio-respiratory mortality: a review. Environ Health 12:1–15. https://doi.org/10.1186/1476-069X-12-43
Hsu NC (2017) Changes to MODIS Deep Blue aerosol products between collection 6 and collection 6.1. https://modis-atmosphere.gsfc.nasa.gov/sites/default/files/ModAtmo/modis_deep_blue_c61_changes2.pdf. Accessed 24 July 2017
Hsu NC, Tsay SC, King MD, Herman JR (2004) Aerosol properties over bright-reflecting source regions. IEEE Trans Geosci Remote Sens 42(3557):3569–3569. https://doi.org/10.1109/TGRS.2004.824067
Hsu NC, Jeong MJ, Bettenhausen C, Sayer AM, Hansell R, Seftor CS, Tsay SC (2013) Enhanced Deep Blue aerosol retrieval algorithm: the second generation. Geophys Res Atmos 118:169296–169315. https://doi.org/10.1002/jgrd.50712
Jin X, Holloway T (2015) Spatial and temporal variability of ozone sensitivity over China observed from the ozone monitoring instrument. Geophys Res 120:7229–7246. https://doi.org/10.1002/2015JD023250
King MD, Kaufman YJ, Menzel WP, Tanre D (1992) Remote-sensing of cloud, aerosol, and water-vapor properties from the moderate resolution imaging spectrometer (Modis). IEEE Trans Geosci Remote Sens 30:2–27. https://doi.org/10.1109/36.124212
Koelemeijer RBA, Homan CD, Matthijsen J (2006) Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe. Atmos Environ 40(27):5304–5315. https://doi.org/10.1016/j.atmosenv.2006.04.044
Krotkov NA, McClure B, Dickerson RR, Carn SA, Li C, Bhartia PK, Yang K, Krueger AJ, Li Z, Levelt P, Chen H, Wang P, Lu DR (2008) Validation of SO2 retrievals from the ozone monitoring instrument over NE China. Geophys Res 113:D16S40. https://doi.org/10.1029/2007JD008818
Krotkov NA, McLinden CA, Li C, Lamsal LN, Celarier EA, Marchenko SV, Swartz WH, Bucsela EJ, Joiner J, Duncan BN, Boersma KF, Veefkind JP, Levelt PF, Fioletov VE, Dickerson RR, He H, Lu Z, Streets DG (2016) Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015. Atmos Chem Phys 16:4605–4629. https://doi.org/10.5194/acp-16-4605-2016
Lamsal LN, Martin RV, van Donkelaar A, Steinbacher M, Celarier EA, Bucsela E, Dunlea EJ, Pinto JP (2008) Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument. Geophys Res 113. https://doi.org/10.1029/2007JD009235
Lamsal LN, Duncan BN, Yoshida Y, Krotkov NA, Pickering KE, Streets DG, Lu Z (2015) U.S. NO2 trends (2005–2013): EPA air quality system (AQS) data versus improved observations from the ozone monitoring instrument (OMI). Atmos Environ 110:130–143. https://doi.org/10.1016/j.atmosenv.2015.03.055
Lelieveld J, Beirle S, Hörmann C, Stenchikov G, Wagner T (2015) Abrupt recent trend changes in atmospheric nitrogen dioxide over the Middle East. Sci Adv 1:e1500498. https://doi.org/10.1126/sciadv.1500498
Liu Y, Saranat JA, Kilaru V, Jacob DJ, Koutrakis P (2005) Estimating ground-level PM2.5 eastern United States using satellite remote sensing. Environ Sci Technol 39:3269–3278. https://doi.org/10.1021/es049352m
Liu Y, Paciorek CJ, Koutrakis P (2009) Estimating regional spatial and temporal variability of PM2.5 concentrations using satellite data, meteorology, and land use information. Environ Health Perspect 117:886e892–886e892. https://doi.org/10.1289/ehp.0800123
Liu Z, Ostrenga D, Teng W, Kempler S (2013) Developing online visualization and analysis services for NASA satellite-derived global precipitation products during the Big Geospatial Data Era. Ch. 5, in Big GeoSpatial Data. 89–114. https://doi.org/10.1201/b16524-6
Martin R (2008) Satellite remote sensing of surface air quality. Atmos Environ 42:7823e7843–7823e7843. https://doi.org/10.1016/j.atmosenv.2008.07.018
Prados AI, Leptoukh G, Lynnes C, Johnson J, Rui H, Chen A, Husar RB (2010) Access, visualization, and interoperability of air quality remote sensing data sets via the Giovanni online tool. IEEE J Sel Top Appl Earth Obs Remote Sens 3(3):359–370. https://doi.org/10.1109/JSTARS.2010.2047940
Putrenko VV Pashynska NM. (2017) The use of remote sensing data for modeling air quality in the cities. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-5/W1, 2017 Geospace. https://doi.org/10.5194/isprs-annals-IV-5-W1-57-2017
Richter A, Burrows JP, Nüß H, Granier C, Niemeier U (2005) Increase in tropospheric nitrogen dioxide over China observed from space. Nature 437:129–132. https://doi.org/10.1038/nature04092
Rohen GJ, von Hoyningen-Huene W, Kokhanovsky A, Dinter T, Vountas M, Burrows JP (2011) Retrieval of aerosol mass load (PM10) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany. Atmos Meas Tech 4:523–534. https://doi.org/10.5194/amt-4-523-2011
Russell AR, Valin LC, Cohen RC (2012) Trends in OMI NO2 observations over the United States: effects of emission control technology and the economic recession. Atmos Chem Phys 12:12197–12209. https://doi.org/10.5194/acp-12-12197-2012
Safarianzengir V, Sobhani B, Yazdani MH, Kianian M (2020) Monitoring, analysis and spatial and temporal zoning of air pollution (carbon monoxide) using Sentinel-5 satellite data for health management in Iran, located in the Middle East. Air Qual Atmos Health 13:709–719. https://doi.org/10.1007/s11869-020-00827-5
Schneider P, van der ARJ (2012) A global single-sensor analysis of 2002–2011 tropospheric nitrogen dioxide trends observed from space. Geophys Res 117:d16309. https://doi.org/10.1029/2012JD017571
Schneider P, Lahoz WA, van der AR (2015) Recent satellite-based trends of tropospheric nitrogen dioxide over large urban agglomerations worldwide. Atmos Chem Phys 15:1205–1220. https://doi.org/10.5194/acp-15-1205-2015
Slagter B, Tsendbazar NE, Vollrath A, Reiche J (2020) Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: a case study in the St. Lucia wetlands, South Africa. Int J Appl Earth Obs Geoinf 86:141–189. https://doi.org/10.1016/j.jag.2019.102009
Streets DG, Canty T, Carmichael GR, de Foy B, Dickerson RR, Duncan BN, Edwards DP, Haynes JA, Henze DK, Houyoux MR, Jacob DJ, Krotkov NA, Lamsal LN, Liu Y, Lu Z, Martin RV, Pfister GG, Pinder RW, Salawitch RJ, Wecht KJ (2013) Emissions estimation from satellite retrievals: a review of current capability. Atmos Environ 77:1011–1042. https://doi.org/10.1016/j.atmosenv.2013.05.051
Tatem AJ, Goetz SJ, Hay SI (2004) Terra and Aqua: new data for epidemiology and public health. Int J Appl Earth Obs Geoinf 6:33–46. https://doi.org/10.1016/j.jag.2004.07.001
Tsai TC, Jeng YJ, Chu DA, Chen JP, Chang SC (2011) Analysis of the relationship between Modis aerosol optical depth and particulate matter from 2006 to 2008. Atmos Environ 45:1–12. https://doi.org/10.1016/j.atmosenv.2009.10.006
Usmani RSA, Saeed A, Abdullahi AM, Pillai TR, Jhanjhi NZ, Hashem IAT (2020) Air pollution and its health impacts in Malaysia: a review. Air Qual Atmos Health 13:1093–1118. https://doi.org/10.1007/s11869-020-00867-x
van der ARJ, Peters DHMU, Eskes H, Boersma KF, Van Roozendael M, De Smedt I, Kelder HM (2006) Detection of the trend and seasonal variation in tropospheric NO2 over China. Geophys Res 111:D12317. https://doi.org/10.1029/2005JD006594
van der ARJ, Eskes HJ, Boersma KF, van Noije TPC, Van Roozendael M, De Smedt I, DHMU P, Meijer EW (2008) Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space. Geophys Res 113:d04302. https://doi.org/10.1029/2007JD009021
Wang J, Christopher SA (2003) Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: implications for air quality studies. Geophys Res Lett 30:2095. https://doi.org/10.1029/2003GL018174
Wang Y, Wang J, Zhou M, Daven K, Henze DK, Ge C, Wang W (2020) Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data- part 2. Downscaling techniques for air quality analysis and forecasts. Atmos Chem Phys 20:1–38. https://doi.org/10.5194/acp-20-6651-2020
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Soleimany, A., Grubliauskas, R. & Šerevičienė, V. Application of satellite data and GIS services for studying air pollutants in Lithuania (case study: Kaunas city). Air Qual Atmos Health 14, 411–429 (2021). https://doi.org/10.1007/s11869-020-00946-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11869-020-00946-z