{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T15:06:37Z","timestamp":1771945597681,"version":"3.50.1"},"reference-count":63,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,6,19]],"date-time":"2022-06-19T00:00:00Z","timestamp":1655596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC1507701"],"award-info":[{"award-number":["2018YFC1507701"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["JSSCBS20211072"],"award-info":[{"award-number":["JSSCBS20211072"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["135419629079"],"award-info":[{"award-number":["135419629079"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["202104"],"award-info":[{"award-number":["202104"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Provincial Double-Innovation Doctor Program","award":["2018YFC1507701"],"award-info":[{"award-number":["2018YFC1507701"]}]},{"name":"Jiangsu Provincial Double-Innovation Doctor Program","award":["JSSCBS20211072"],"award-info":[{"award-number":["JSSCBS20211072"]}]},{"name":"Jiangsu Provincial Double-Innovation Doctor Program","award":["135419629079"],"award-info":[{"award-number":["135419629079"]}]},{"name":"Jiangsu Provincial Double-Innovation Doctor Program","award":["202104"],"award-info":[{"award-number":["202104"]}]},{"name":"Nantong University Scientific Research Foundation for the Introduced Talents","award":["2018YFC1507701"],"award-info":[{"award-number":["2018YFC1507701"]}]},{"name":"Nantong University Scientific Research Foundation for the Introduced Talents","award":["JSSCBS20211072"],"award-info":[{"award-number":["JSSCBS20211072"]}]},{"name":"Nantong University Scientific Research Foundation for the Introduced Talents","award":["135419629079"],"award-info":[{"award-number":["135419629079"]}]},{"name":"Nantong University Scientific Research Foundation for the Introduced Talents","award":["202104"],"award-info":[{"award-number":["202104"]}]},{"name":"Environmental Science Research Program of Nanjing Municipal Ecology and Environment Bureau","award":["2018YFC1507701"],"award-info":[{"award-number":["2018YFC1507701"]}]},{"name":"Environmental Science Research Program of Nanjing Municipal Ecology and Environment Bureau","award":["JSSCBS20211072"],"award-info":[{"award-number":["JSSCBS20211072"]}]},{"name":"Environmental Science Research Program of Nanjing Municipal Ecology and Environment Bureau","award":["135419629079"],"award-info":[{"award-number":["135419629079"]}]},{"name":"Environmental Science Research Program of Nanjing Municipal Ecology and Environment Bureau","award":["202104"],"award-info":[{"award-number":["202104"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Satellite-based PM2.5 estimation has been widely used to assess health impact associated with PM2.5 exposure and might be affected by spatial resolutions of satellite input data, e.g., aerosol optical depth (AOD). Here, based on Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD in 2020 over the Yangtze River Delta (YRD) and three PM2.5 retrieval models, i.e., the mixed effects model (ME), the land-use regression model (LUR) and the Random Forest model (RF), we compare these model performances at different spatial resolutions (1, 3, 5 and 10 km). The PM2.5 estimations are further used to investigate the impact of spatial resolution on health assessment. Our cross-validated results show that the model performance is not sensitive to spatial resolution change for the ME and LUR models. By contrast, the RF model can create a more accurate PM2.5 prediction with a finer AOD spatial resolution. Additionally, we find that annual population-weighted mean (PWM) PM2.5 concentration and attributable mortality strongly depend on spatial resolution, with larger values estimated from coarser resolution. Specifically, compared to PWM PM2.5 at 1 km resolution, the estimation at 10 km resolution increases by 7.8%, 22.9%, and 9.7% for ME, LUR, and RF models, respectively. The corresponding increases in mortality are 7.3%, 18.3%, and 8.4%. Our results also show that PWM PM2.5 at 10 km resolution from the three models fails to meet the national air quality standard, whereas the estimations at 1, 3 and 5 km resolutions generally meet the standard. These findings suggest that satellite-based health assessment should consider the spatial resolution effect.<\/jats:p>","DOI":"10.3390\/rs14122933","type":"journal-article","created":{"date-parts":[[2022,6,19]],"date-time":"2022-06-19T21:19:26Z","timestamp":1655673566000},"page":"2933","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1874-154X","authenticated-orcid":false,"given":"Heming","family":"Bai","sequence":"first","affiliation":[{"name":"Research Center for Intelligent Information Technology, Nantong University, Nantong 226019, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuli","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myeongsu","family":"Seong","sequence":"additional","affiliation":[{"name":"Research Center for Intelligent Information Technology, Nantong University, Nantong 226019, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenkang","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanhui","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing Environmental Monitoring Center of Jiangsu Province, Nanjing 210013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"117002","DOI":"10.1289\/EHP1673","article-title":"Long-term fine particulate matter exposure and nonaccidental and cause-specific mortality in a large national cohort of chinese men","volume":"125","author":"Yin","year":"2017","journal-title":"Environ. 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