{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T05:22:01Z","timestamp":1772601721609,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Global Change Observation Mission\u2014Climate Project of JAXA"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Earth Observation Satellite Global Change Observation Mission\u2014Climate (GCOM)-C (SHIKISAI in Japanese), carrying a second-generation global imager (SGLI), was launched in 2017 by the Japan Aerospace Exploration Agency. The SGLI performs wide-swath multi-spectral measurements in 19 channels, from near-ultraviolet to thermal infrared (IR), including the red (674 nm; PL1 channel) and near-IR (869 nm; PL2 channel) polarization channels. This work aimed to demonstrate the advantages of SGLI, particularly the significance of simultaneous off-nadir polarized and nadir multi-spectral observations. The PL1 and PL2 channels were tilted at 45\u00b0 for the off-nadir measurements, whereas the other channels took a straight downward view for the nadir measurements. As a result, the SGLI provided two-directional total radiance data at two wavelengths (674 and 869 nm) that were included in both off-nadir and nadir observations. Using these bidirectional data, an algorithm was applied to derive the altitude of the aerosol plume. Furthermore, because of the significance of the simultaneous observation of polarized and non-polarized light, the sensitivity difference between the radiance and polarized radiance was demonstrated. Severe wildfire events in Indonesia and California were considered as examples of specific applications. Herein, we present the results of our analysis of optically thick biomass-burning aerosol events. The results of the satellite-based analysis were compared with those of a chemical transport model. Exploring the SGLI\u2019s unique capability and continuous 5-year global record paves the way for advanced data exploitation from future satellite missions as a number of multi-directional polarization sensors are programmed to fly in the late 2020s.<\/jats:p>","DOI":"10.3390\/rs15225405","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T09:23:43Z","timestamp":1700213023000},"page":"5405","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Biomass Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI"],"prefix":"10.3390","volume":"15","author":[{"given":"Sonoyo","family":"Mukai","sequence":"first","affiliation":[{"name":"School of Applied Information Technology, The Kyoto College of Graduate Studies for Informatics, Kyoto 606-8225, Japan"}]},{"given":"Souichiro","family":"Hioki","sequence":"additional","affiliation":[{"name":"CNRS (Centre National de la Recherche Scientifique), University of Lille, F-59000 Lille, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4518-7406","authenticated-orcid":false,"given":"Makiko","family":"Nakata","sequence":"additional","affiliation":[{"name":"Faculty of Applied Sociology, Kindai University, Higashiosaka 577-8502, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.envres.2014.10.015","article-title":"A systematic review of the physical health impacts from non-occupational exposure to wildfire smoke","volume":"136","author":"Liu","year":"2015","journal-title":"Environ. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1334","DOI":"10.1289\/ehp.1409277","article-title":"Critical review of health impacts of wildfire smoke exposure","volume":"124","author":"Reid","year":"2016","journal-title":"Environ. Health Perspect."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1038\/scientificamerican0320-38","article-title":"The hidden toll of wildfire","volume":"322","author":"Dickman","year":"2020","journal-title":"Sci. Am."},{"key":"ref_4","unstructured":"IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.1002\/qj.3092","article-title":"The thermally driven diurnal wind system of the Adige Valley in the Italian Alps","volume":"143","author":"Giovannini","year":"2017","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Schmidli, J., B\u00f6ing, S., and Fuhrer, O. (2018). Accuracy of simulated diurnal valley winds in the Swiss Alps: Influence of grid resolution. Atmosphere, 9.","DOI":"10.3390\/atmos9050196"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5504","DOI":"10.1038\/s41598-018-23880-8","article-title":"Numerical simulations of the effects of regional topography on haze pollution in Beijing","volume":"8","author":"Zhang","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Su, B., Li, H., Zhang, M., Bilal, M., Wang, M., Atique, L., Ziyue Zhang, Z., Han, G., Qiu, Z., and Ali, A. (2020). Optical and physical characteristics of aerosol vertical layers over Northeastern China. Atmosphere, 11.","DOI":"10.3390\/atmos11050501"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Hu, W., Zhao, T., Bai, Y., Shen, L., Sun, X., and Gu, Y. (2020). Contribution of regional PM2.5 transport to air pollution enhanced by sub-basin topography, A modeling case over Central China. Atmosphere, 11.","DOI":"10.3390\/atmos11111258"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1109\/JPROC.2009.2036869","article-title":"Global change observation mission (GCOM) for monitoring carbon, water cycles, and climate change","volume":"98","author":"Imaoka","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Nakata, M., Sano, I., Mukai, S., and Kokhanovsky, A. (2022). Characterization of wildfire smoke over complex terrain using satellite observations, ground-based observations, and meteorological models. Remote Sens., 14.","DOI":"10.3390\/rs14102344"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"014527","DOI":"10.1117\/1.JRS.13.014527","article-title":"Algorithms for the Classification and Characterization of Aerosols: Utility Verification of Near-UV Satellite Observations","volume":"13","author":"Mukai","year":"2019","journal-title":"J. Appl. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Mukai, S., Sano, I., and Nakata, M. (2021). Improved algorithms for remote sensing-based aerosol retrieval during extreme biomass burning. Atmosphere, 12.","DOI":"10.3390\/atmos12030403"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Nakata, M., Mukai, S., and Fujito, T. (2022). Direct Detection of Severe Biomass Burning Aerosols from Satellite. Atmosphere, 13.","DOI":"10.3390\/atmos13111913"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"D07206","DOI":"10.1029\/2011JD016839","article-title":"Fog- and cloud-induced aerosol modification observed by the Aerosol Robotic Network (AERONET)","volume":"117","author":"Eck","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1109\/36.700992","article-title":"Multi-angle Imaging SpectroRadiometer (MISR)\u2014Instrument description and experiment overview","volume":"36","author":"Diner","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1109\/TGRS.2002.801584","article-title":"Performance of the MISR instrument during its first 20 months in earth orbit","volume":"40","author":"Diner","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1547","DOI":"10.1109\/TGRS.2002.801160","article-title":"MISR stereoscopic image matchers: Techniques and results","volume":"40","author":"Moroney","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"L04809","DOI":"10.1029\/2007GL032165","article-title":"Wildfire Smoke Injection Heights: Two perspectives from Space","volume":"35","author":"Kahn","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Carr, J.L., Wu, D.L., Wolfe, R.E., Madani, H., Lin, G., and Tan, B. (2019). Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES. Remote Sens., 11.","DOI":"10.3390\/rs11182100"},{"key":"ref_21","unstructured":"(2023, August 01). Himawari Satellite Data Archive. Available online: https:\/\/sc-web.nict.go.jp\/himawari\/himawari-data-archive.html."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4634","DOI":"10.1029\/2001JD001253","article-title":"Monthly averages of aerosol properties: A global comparison among models, satellite data and AERONET ground data","volume":"108","author":"Kinne","year":"2003","journal-title":"J. Geophys. Res."},{"key":"ref_23","first-page":"1150","article-title":"Object recognition from local scale-invariant features","volume":"2","author":"Lowe","year":"1999","journal-title":"Proc. IEEE Int. Conf. Comput. Vis."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2235","DOI":"10.5194\/gmd-14-2235-2021","article-title":"Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables","volume":"14","author":"Kajino","year":"2021","journal-title":"Geosci. Model Dev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3393","DOI":"10.5194\/gmd-8-3393-2015","article-title":"Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations","volume":"28","author":"Nishizawa","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/s40645-015-0053-6","article-title":"Impacts of cloud microphysics on trade wind cumulus: Which cloud microphysics processes contribute to the diversity in a large eddy simulation?","volume":"2","author":"Sato","year":"2015","journal-title":"Prog. Earth Planet. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e2021EA001972","DOI":"10.1029\/2021EA001972","article-title":"Effects of mountains on aerosols determined by AERONET\/DRAGON\/J-ALPS measurements and regional model simulations","volume":"8","author":"Nakata","year":"2021","journal-title":"AGU Adv. Earth Space Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"527","DOI":"10.5194\/bg-9-527-2012","article-title":"Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power","volume":"9","author":"Kaiser","year":"2012","journal-title":"Biogeosciences."},{"key":"ref_29","first-page":"609","article-title":"Scholarly interest in forest fires in Indonesia: A bibliographical review","volume":"6","author":"Wulandari","year":"2022","journal-title":"For. Soc."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1186\/s12940-022-00872-w","article-title":"The health impacts of Indonesia peatland fires","volume":"21","author":"Hein","year":"2022","journal-title":"Environ. Health"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2016.02.054","article-title":"The Collection 6 MODIS active fire detection algorithm and fire products","volume":"178","author":"Giglio","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"6865","DOI":"10.5194\/amt-15-6865-2022","article-title":"The new MISR research aerosol retrieval algorithm: A multi-angle, multi-spectral. bounded-variable least squares retrieval of aerosols particle properties over both land and water","volume":"15","author":"Limbacher","year":"2022","journal-title":"Atmos. Meas. Tech."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"D14207","DOI":"10.1029\/2009JD012820","article-title":"Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth","volume":"115","author":"Colarco","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"6391","DOI":"10.1002\/2016JD026421","article-title":"Biomass burning aerosol transport and vertical distribution over the South African-Atlantic region","volume":"122","author":"Das","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"17853","DOI":"10.1029\/2000JD900265","article-title":"Global three-dimensional simulation of aerosol optical thickness distribution of various origins","volume":"105","author":"Takemura","year":"2000","journal-title":"J. Geophys. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4321","DOI":"10.5194\/acp-6-4321-2006","article-title":"Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed datasets for AeroCom","volume":"6","author":"Dentener","year":"2006","journal-title":"Atmos. Chem. Phys."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3385","DOI":"10.5194\/acp-7-3385-2007","article-title":"Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models","volume":"7","author":"Freitas","year":"2007","journal-title":"Atmos. Chem. Phys."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"E1531","DOI":"10.1175\/BAMS-D-20-0329.1","article-title":"High-Resolution Smoke Forecasting for the 2018 Camp Fire in California","volume":"103","author":"Chow","year":"2022","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jqsrt.2018.07.008","article-title":"The multi-viewing multi-channel multi-polarisation imager\u2014Overview of the 3MI polarimetric mission for aerosol and cloud characterization","volume":"219","author":"Fougnie","year":"2018","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.earscirev.2015.01.012","article-title":"Space-Based Remote Sensing of Atmospheric Aerosols: The Multi-Angle Spectropolarimetric Frontier","volume":"45","author":"Kokhanovsky","year":"2015","journal-title":"Earth Sci. Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.jqsrt.2018.11.024","article-title":"Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives","volume":"224","author":"Dubovik","year":"2019","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"4859","DOI":"10.5194\/amt-15-4859-2022","article-title":"Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean","volume":"15","author":"Gao","year":"2022","journal-title":"Atmos. Meas. Tech."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/22\/5405\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:24:59Z","timestamp":1760131499000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/22\/5405"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":42,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["rs15225405"],"URL":"https:\/\/doi.org\/10.3390\/rs15225405","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,17]]}}}