{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:57:48Z","timestamp":1783702668441,"version":"3.55.0"},"reference-count":63,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,12]],"date-time":"2018-11-12T00:00:00Z","timestamp":1541980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee","doi-asserted-by":"publisher","award":["16300715"],"award-info":[{"award-number":["16300715"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NASA ESS Fellowship","award":["NNX14AK89H"],"award-info":[{"award-number":["NNX14AK89H"]}]},{"name":"MOST grant","award":["2018YFC0213903"],"award-info":[{"award-number":["2018YFC0213903"]}]},{"name":"NASA Grant","award":["NNX15AE37G"],"award-info":[{"award-number":["NNX15AE37G"]}]},{"name":"NSFC Grant","award":["41575106"],"award-info":[{"award-number":["41575106"]}]},{"name":"TEMPO Project Grant","award":["SV3-83019"],"award-info":[{"award-number":["SV3-83019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Improving air quality and reducing human exposure to unhealthy levels of airborne chemicals are important global missions, particularly in China. Satellite remote sensing offers a powerful tool to examine regional trends in NO2, thus providing a direct measure of key parameters that strongly affect surface air quality. To accurately resolve spatial gradients in NO2 concentration using satellite observations and thus understand local and regional aspects of air quality, a priori input data at sufficiently high spatial and temporal resolution to account for pixel-to-pixel variability in the characteristics of the land and atmosphere are required. In this paper, we adapt the Berkeley High Resolution product (BEHR-HK) and meteorological outputs from the Weather Research and Forecasting (WRF) model to describe column NO2 in southern China. The BEHR approach is particularly useful for places with large spatial variabilities and terrain height differences such as China. There are two major objectives and goals: (1) developing new BEHR-HK v3.0C product for retrieving tropospheric NO2 vertical column density (TVCD) within part of southern China, for four months of 2015, based upon satellite datasets from Ozone Monitoring Instrument (OMI); and (2) evaluating BEHR-HK v3.0C retrieval result through validation, by comparing with MAX-DOAS tropospheric column measurements conducted in Guangzhou. Results show that all BEHR-HK retrieval algorithms (with R-value of 0.9839 for v3.0C) are of higher consistency with MAX-DOAS measurements than OMI-NASA retrieval (with R-value of 0.7644). This opens new windows into research questions that require high spatial resolution, for example retrieving NO2 vertical column and ground pollutant concentration in China and other countries.<\/jats:p>","DOI":"10.3390\/rs10111789","type":"journal-article","created":{"date-parts":[[2018,11,14]],"date-time":"2018-11-14T02:42:41Z","timestamp":1542163361000},"page":"1789","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7033-6218","authenticated-orcid":false,"given":"Hugo Wai Leung","family":"Mak","sequence":"first","affiliation":[{"name":"Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua L.","family":"Laughner","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of California, Berkeley, CA 94720, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimmy Chi Hung","family":"Fung","sequence":"additional","affiliation":[{"name":"Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China"},{"name":"Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qindan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Earth and Planetary Sciences, University of California, Berkeley, CA 94720, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6617-7691","authenticated-orcid":false,"given":"Ronald C.","family":"Cohen","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of California, Berkeley, CA 94720, USA"},{"name":"Department of Earth and Planetary Sciences, University of California, Berkeley, CA 94720, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,12]]},"reference":[{"key":"ref_1","first-page":"173","article-title":"Air pollution: A smoking gun for cancer","volume":"33","author":"Zhang","year":"2014","journal-title":"Chin. J. Cancer"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.ijheh.2013.08.003","article-title":"A systematic review of air pollution as a risk factor for cardiovascular disease in South Asia: Limited evidence from India and Pakistan","volume":"217","author":"Yamamoto","year":"2014","journal-title":"Int. J. Hyg. Environ. Health"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"205","DOI":"10.3832\/ifor0588-004","article-title":"Availability and evaluation of European forest soil monitoring data in the study on the effects of air pollution on forests","volume":"4","author":"Cools","year":"2011","journal-title":"iForest Biogeosci. For."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1038\/307599a0","article-title":"Acid deposition and internal proton sources in acidification of soils and waters","volume":"307","author":"Driscoll","year":"1984","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3318","DOI":"10.1016\/j.atmosenv.2011.02.023","article-title":"Intercontinental influence of NOx and CO emissions on particulate matter air quality","volume":"45","author":"Leibbensperger","year":"2011","journal-title":"Atmos. Environ."},{"key":"ref_6","unstructured":"The International Council on Clean Transportation (2018, August 10). NOx Emissions from Heavy-Duty and Light-Duty Diesel Vehicles in the EU: Comparison of Real-World Performance and Current Type-Approval Requirements. Available online: https:\/\/www.theicct.org\/sites\/default\/files\/publications\/Euro-VI-versus-6_ICCT_briefing_06012017.pdf."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s40726-016-0031-7","article-title":"Lightning NOx and Impacts on Air Quality","volume":"2","author":"Murray","year":"2016","journal-title":"Curr. Pollut. Rep."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"6633","DOI":"10.1029\/1999JD901113","article-title":"Impacts of biomass burning on tropospheric CO, NOx, and O3","volume":"105","author":"Meredith","year":"2000","journal-title":"J. Geophys. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1146\/annurev.ea.07.050179.002303","article-title":"The role of NO and NO2 in the chemistry of the troposphere and stratosphere","volume":"7","author":"Crutzen","year":"1979","journal-title":"Annu. Rev. Earth Planet. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s10661-017-5872-z","article-title":"The spatial variation of O3, NO, NO2 and NOx and the relation between them in two Swedish cities","volume":"189","author":"Hagenbjork","year":"2017","journal-title":"Environ. Monit. Assess."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Seinfeld, J.H., and Pandis, S.N. (1998). Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, John Wiley. [3rd ed.].","DOI":"10.1063\/1.882420"},{"key":"ref_12","unstructured":"Finlayson-Pitts, B.J., and Pitts, J.N. (1999). Chemistry of Upper and Lower Atmosphere: Theory, Experiments and Applications, Academic Press."},{"key":"ref_13","unstructured":"(2018, August 30). Notice of the Ministry of Environmental Protection on Issuing the General Planning for the Development of Environmental Protection Legislation and Environmental Economic Policies in China during the 12th Five-Year Plan Period. January 2011, (In Chinese)."},{"key":"ref_14","unstructured":"(2018, August 30). Notice of the Ministry of Environmental Protection on Issuing the General Planning for the Development of Environmental Protection Legislation and Environmental Economic Policies in China during the 13th Five-Year Plan Period. January 2016, (In Chinese)."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7436","DOI":"10.1021\/es5009399","article-title":"Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing","volume":"48","author":"Ma","year":"2014","journal-title":"Environ. Sci. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"686","DOI":"10.5094\/APR.2014.078","article-title":"Intercomparison of tropospheric nitrogen dioxide retrieved from Ozone Monitoring Instrument over China","volume":"5","author":"Zheng","year":"2014","journal-title":"Atmos. Pollut. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"12933","DOI":"10.5194\/acp-18-12933-2018","article-title":"Spatiotemporal variability of NO2 and PM2.5 over Eastern China: Observational and model analyses with a novel statistical method","volume":"18","author":"Liu","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_18","unstructured":"Provincial Environmental Monitoring Centre Environmental Protection Department, Hong Kong SARG Environmental Protection Bureau, Macao SARG Meteorological and Geophysical Bureau, Macao SARG (2018, March 15). Guangdong-Hong Kong-Macao Pearl River Delta Regional Air Quality Monitoring Network\u2014A Report of Monitoring Results in 2014, PRDAIR-2014-5, (In Chinese)."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1204","DOI":"10.1080\/10473289.1994.10467315","article-title":"An Inversion Algorithm for Determining Area-Source Emissions from Downwind Concentration Measurements","volume":"44","author":"Shonnard","year":"1994","journal-title":"Air Waste"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.atmosres.2015.09.008","article-title":"A nonlinear model for estimating ground-level PM10 concentration in Xi\u2019an using MODIS aerosol optical depth retrieval","volume":"168","author":"You","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1175\/1520-0469(1999)056<0151:TGOMEG>2.0.CO;2","article-title":"The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results","volume":"56","author":"Burrows","year":"1999","journal-title":"J. Atmos. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.1002\/grl.50267","article-title":"Variations of OH radical in an urban plume inferred from NO2 column measurements","volume":"40","author":"Valin","year":"2013","journal-title":"Geophys. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5194\/acp-14-1-2014","article-title":"Chemical feedback effects on the spatial patterns of the NOx weekend effect","volume":"14","author":"Valin","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"8543","DOI":"10.5194\/acp-11-8543-2011","article-title":"A high spatial resolution retrieval of NO2 column densities from OMI: Method and evaluation","volume":"11","author":"Russell","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.5194\/acp-14-3637-2014","article-title":"Improved satellite retrievals of NO2 and SO2 over the Canadian oil sands and comparisons with surface measurements","volume":"14","author":"McLinden","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.5194\/acp-14-1441-2014","article-title":"Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: Effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide","volume":"14","author":"Lin","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5627","DOI":"10.5194\/acp-15-5627-2015","article-title":"Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model","volume":"15","author":"Kuhlmann","year":"2015","journal-title":"Atmos. Chem. Phys."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Laughner, J.L., Zhu, Q., and Cohen, R.C. (2018). The Berkeley High Resolution Tropospheric NO2 Product. Earth Syst. Sci. Data Discuss.","DOI":"10.5194\/essd-10-2069-2018"},{"key":"ref_29","unstructured":"Laughner, J.L., and Cohen, R.C. (2017, January 11\u201315). The Next-generation Berkeley High Resolution NO2 (BEHR NO2) Retrieval: Design and Preliminary Emissions Constraints. Proceedings of the American Geophysical Union, Fall Meeting, New Orleans, LA, USA."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"15247","DOI":"10.5194\/acp-16-15247-2016","article-title":"Effects of daily meteorology on the interpretation of space-based remote sensing of NO2","volume":"16","author":"Laughner","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.5194\/amt-6-2607-2013","article-title":"A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: Applications to OMI","volume":"6","author":"Bucsela","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Kim, Y.J., Platt, U., Gu, M.B., and Iwahashi, H. (2009). Remote Sensing of Tropospheric Trace Gases (NO2 and SO2) from SCIAMACHY. Atmospheric and Biological Environmental Monitoring, Springer.","DOI":"10.1007\/978-1-4020-9674-7"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Marchenko, S., Krotkov, N.A., Lamsal, L.N., Celarier, E.A., Swartz, W.H., and Bucsela, E.J. (2015). Revising the slant column density retrieval of nitrogen dioxide observed by the Ozone Monitoring Instrument. J. Geophys. Res. Atmos., 120.","DOI":"10.1002\/2014JD022913"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.5194\/amt-4-1905-2011","article-title":"An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument","volume":"4","author":"Boersma","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"14539","DOI":"10.1029\/2000JD900772","article-title":"Air Mass Factor Formulation for Spectroscopic Measurements from Satellites: Application to Formaldehyde Retrievals from the Global Ozone Monitoring Experiment","volume":"106","author":"Palmer","year":"2001","journal-title":"J. Geophys. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3133","DOI":"10.5194\/amt-10-3133-2017","article-title":"The version 3 OMI NO2 standard product","volume":"10","author":"Krotkov","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","unstructured":"Laughner, J.L., Zhu, Q., and Cohen, R.C. (2018). Evaluation of version 3.0B of the BEHR OMI NO2 product. Atmos. Meas. Tech. Discuss."},{"key":"ref_38","unstructured":"Krotkov, N.A., and Veefkind, P. (2016). OMI\/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-Orbit L2 Swath 13 \u00d7 24 km V003."},{"key":"ref_39","unstructured":"(2017, March 05). MODIS Bidirectional Reflectance Distribution Function (BRDF)\/Albedo Parameter, Available online: https:\/\/modis.gsfc.nasa.gov\/data\/dataprod\/mod43.php."},{"key":"ref_40","unstructured":"(2017, March 05). Global Land One-Kilometer Base Elevation (GLOBE) v.1, Available online: https:\/\/data.noaa.gov\/\/metaview\/page?xml=NOAA\/NESDIS\/NGDC\/MGG\/DEM\/iso\/xml\/280.xml&view=getDataView&header=none."},{"key":"ref_41","unstructured":"(2018, August 10). Version 3 Aura Ozone Monitoring Instrument (OMI) Nitrogen Dioxide (NO2) Standard Product (OMNO2), Available online: https:\/\/mirador.gsfc.nasa.gov\/collections\/OMNO2__003.shtml."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"401","DOI":"10.5194\/amt-2-401-2009","article-title":"An improved tropospheric NO2 retrieval for OMI observations in the vicinity of mountainous terrain","volume":"2","author":"Zhou","year":"2009","journal-title":"Atmos. Meas. Tech."},{"key":"ref_43","unstructured":"WMO (1992). International Meteorological Vocabulary, World Meteorological Organization. [2nd ed.]."},{"key":"ref_44","unstructured":"(2017, March 05). The Berkeley High-Resolution NO2 Product. Available online: http:\/\/behr.cchem.berkeley.edu\/TheBEHRProduct.aspx."},{"key":"ref_45","unstructured":"(2018, October 03). Berkeley High Resolution (BEHR) NO2 Product Changelog. Available online: http:\/\/behr.cchem.berkeley.edu\/Portals\/2\/Changelog.txt."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"243","DOI":"10.5194\/gmd-3-243-2010","article-title":"The Meteorology-Chemistry Interface Processor (MCIP) for the CMAQ modeling system: Updates through MCIPv3.4.1","volume":"3","author":"Otte","year":"2010","journal-title":"Geosci. Model. Dev."},{"key":"ref_47","unstructured":"(2017, August 10). SMOKE: (Sparse Matrix Operator Kerner Emissions) Modeling System. Available online: https:\/\/www.cmascenter.org\/smoke\/."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/S1352-2310(00)00335-6","article-title":"Internal boundary layer structure under sea-breeze conditions in Hong Kong","volume":"35","author":"Liu","year":"2001","journal-title":"Atmos. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s00703-002-0579-1","article-title":"Impacts of topography and land degradation on the sea breeze over eastern Spain","volume":"84","author":"Miao","year":"2003","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12517-014-1273-6","article-title":"Scale matching of multiscale digital elevation model (DEM) data and the Weather Research and Forecasting (WRF) model: A case study of meteorological simulation in Hong Kong","volume":"7","author":"Zhang","year":"2014","journal-title":"Arab. J. Geosci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.atmosenv.2012.11.069","article-title":"Study of control policy in the Pearl River Delta region by using particulate matter source apportionment method","volume":"76","author":"Wu","year":"2013","journal-title":"Atmos. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1175\/MWR3199.1","article-title":"A new vertical diffusion package with an explicit treatment of entrainment processes","volume":"134","author":"Hong","year":"2006","journal-title":"Mon. Weather Rev."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Grell, G.A., and D\u00e9v\u00e9nyi, D. (2002). A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29.","DOI":"10.1029\/2002GL015311"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","article-title":"Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity","volume":"129","author":"Chen","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"33","DOI":"10.2151\/jmsj.86A.33","article-title":"A new method for representing mixed-phase particle fall speeds in bulk microphysics parameterizations","volume":"86A","author":"Dudhia","year":"2008","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"16663","DOI":"10.1029\/97JD00237","article-title":"Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave","volume":"102","author":"Mlawer","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1175\/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2","article-title":"Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model","volume":"46","author":"Dudhia","year":"1989","journal-title":"J. Atmos. Sci."},{"key":"ref_58","unstructured":"(2018, September 12). World Urban Database, Geopedia of Guangzhou. Available online: https:\/\/geopedia.world\/#T4_L107_x12620899.92530688_y2642447.177075616_s11_b17."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"4403","DOI":"10.5194\/amt-10-4403-2017","article-title":"Quantification of the effect of modeled lightning NO2 on UV\u2013visible air mass factors","volume":"10","author":"Laughner","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_60","unstructured":"Chance, K. (2002). NO2, OMI Algorithm Theoretical Basis Document, Volume 4, OMI Trace Gas Algorithms, ATB-OMI-04, Version 2.0."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/S1001-0742(07)60072-2","article-title":"Evaluation of ambient air quality in Guangzhou","volume":"19","author":"Zhou","year":"2007","journal-title":"China J. Environ. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2239","DOI":"10.5194\/amt-11-2239-2018","article-title":"MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparison","volume":"11","author":"Drosoglou","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"5829","DOI":"10.5194\/acp-17-5829-2017","article-title":"Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece","volume":"17","author":"Drosoglou","year":"2017","journal-title":"Atmos. Chem. Phys."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1789\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T01:50:38Z","timestamp":1775267438000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1789"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,12]]},"references-count":63,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111789"],"URL":"https:\/\/doi.org\/10.3390\/rs10111789","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints201810.0213.v1","asserted-by":"object"}]},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,12]]}}}