{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T09:35:51Z","timestamp":1781170551563,"version":"3.54.1"},"reference-count":54,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T00:00:00Z","timestamp":1655769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH","award":["4647"],"award-info":[{"award-number":["4647"]}]},{"name":"University of Tabriz","award":["4647"],"award-info":[{"award-number":["4647"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Motivated by the lack of research on land cover and dust activity in the Middle East, this study seeks to increase the understanding of the sensitivity of dust centers to climatic and surface conditions in this specific region. In this regard, we explore vegetation cover and dust emission interactions using 16-day long-term Normalized Difference Vegetation Index (NDVI) data and daily Aerosol Optical Depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS) and conduct spatiotemporal and statistical analyses. Eight major dust hotspots were identified based on long-term AOD data (2000\u20132019). Despite the relatively uniform climate conditions prevailing throughout the region during the study period, there is considerable spatial variability in interannual relationships between AOD and NDVI. Three subsets of periods (2000\u20132006, 2007\u20132013, 2014\u20132019) were examined to assess periodic spatiotemporal changes. In the second period (2007\u20132013), AOD increased significantly (6% to 32%) across the studied hotspots, simultaneously with a decrease in NDVI (\u22120.9% to \u221214.3%) except in Yemen\u2212Oman. Interannual changes over 20 years showed a strong relationship between reduced vegetation cover and increased dust intensity. The correlation between NDVI and AOD (\u22120.63) for the cumulative region confirms the significant effect of vegetation canopy on annual dust fluctuations. According to the results, changes in vegetation cover have an essential role in dust storm fluctuations. Therefore, this factor must be regarded along with wind speed and other climate factors in Middle East dust hotspots related to research and management efforts.<\/jats:p>","DOI":"10.3390\/rs14132963","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T04:12:01Z","timestamp":1655871121000},"page":"2963","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4141-3528","authenticated-orcid":false,"given":"Soodabeh","family":"Namdari","sequence":"first","affiliation":[{"name":"Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali Ibrahim","family":"Zghair Alnasrawi","sequence":"additional","affiliation":[{"name":"Ministry of Education, General Directorate of Education, Maysan 62003, Iraq"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Omid","family":"Ghorbanzadeh","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Landstra\u00dfer Hauptstra\u00dfe 5, 1030 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2243-2264","authenticated-orcid":false,"given":"Armin","family":"Sorooshian","sequence":"additional","affiliation":[{"name":"Department of Chemical and Environmental Engineering, University of Arizona, P.O. Box 210011, Tucson, AZ 85721, USA"},{"name":"Department of Hydrology and Atmospheric Sciences, University of Arizona, P.O. Box 210011, Tucson, AZ 85721, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4648-842X","authenticated-orcid":false,"given":"Khalil Valizadeh","family":"Kamran","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1203-741X","authenticated-orcid":false,"given":"Pedram","family":"Ghamisi","sequence":"additional","affiliation":[{"name":"Institute of Advanced Research in Artificial Intelligence (IARAI), Landstra\u00dfer Hauptstra\u00dfe 5, 1030 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4021","DOI":"10.1016\/j.enpol.2010.03.026","article-title":"An integrated assessment of climate change, air pollution, and energy security policy","volume":"38","author":"Bollen","year":"2010","journal-title":"Energy Policy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.atmosenv.2015.10.090","article-title":"Simulation of atmospheric dispersion of NOX over complex terrain region of Ranchi with FLEXPART-WRF by incorporation of improved turbulence intensity relationships","volume":"123","author":"Srikanth","year":"2015","journal-title":"Atmos. 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