https://m2.mtmt.hu/hun2024-03-29 15:49JournalArticle31099708VALIDATEDtrueBioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Novi Sad, 21000, Serbia
Finnish Meteorological institute, Finland, Erik Palménin aukio 1, Helsinki, 00560, Finland
Laboratory for palynology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, Novi Sad, 21000, Serbia
Export Date: 29 January 2020
CODEN: RSEEA
Correspondence Address: Simović, I.; BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Serbia; email: isidora.simovic@biosense.rs
Funding text 1: This research is part of a project that has received funding from Provincial Secretariat for Higher Education and Scientific Research of AP Vojvodina titled “Sensor technologies for integrated monitoring of agricultural production”. The airborne pollen data were obtained in the frame of continuous aerobiological monitoring funded by City Administration for Environmental Protection , City of Novi Sad and Provincial Secretariat for Urban Planning and Environmental Protection AP Vojvodina . SILAM computations have been performed within the GLORIA and PS4A projects of Academy of Finland.
BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Novi Sad, 21000, Serbia
Finnish Meteorological institute, Finland, Erik Palménin aukio 1, Helsinki, 00560, Finland
Laboratory for palynology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, Novi Sad, 21000, Serbia
Cited By :1
Export Date: 24 November 2020
CODEN: RSEEA
Correspondence Address: Simović, I.; BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Serbia; email: isidora.simovic@biosense.rs
BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Novi Sad, 21000, Serbia
Finnish Meteorological institute, Finland, Erik Palménin aukio 1, Helsinki, 00560, Finland
Laboratory for palynology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, Novi Sad, 21000, Serbia
Cited By :2
Export Date: 30 March 2021
CODEN: RSEEA
Correspondence Address: Simović, I.; BioSensе Institute - Research Institute for Information Technologies in Biosystems, Dr Zorana Đinđića 1, Serbia; email: isidora.simovic@biosense.rs0false2021-03-30T13:15:00.393+00002020-11-24T17:41:33.704+00002020-01-10T17:56:54.773+0000true565WoSimport
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REVIEWEDtruefalse3885false3885true0034-4257JournalFOREIGN235111455111455122019A new approach of integration of remote sensing data with in situ pollen measurements is developed to explore the effect of changing land use on the local pollen records variability. It was conducted in a predominantly agricultural region of Serbia, with the focus on Ambrosia, an invasive weed that is the source of highly allergenic pollen. The land use characteristics were extracted from the Corine Land Cover and more precise crop classification maps for years 2013-2017 created using machine learning from the available satellite (RapidEye, Landsat, Sentinel) and ground truth data. Airborne pollen was collected at five locations for the same period. To integrate in situ and products derived from satellite data we defined catchment areas surrounding pollen measurements stations. Different shapes of assumed catchment areas equivalent to 5 km, 10 km and 30 km radius were tested: circular, wind rose and footprint from SILAM (System for Integrated modeLling of Atmospheric coMposition). The simple fixed circle, used as the rule of thumb in the literature, is a reasonable approximation of the representativeness of the aerobiological data. A gridded Ambrosia distribution and abundance map over Vojvodina was produced by using top-down approach that combines distribution of suitable habitats and airborne pollen concentrations. The results confirmed that variation in the agriculture-associated land use area explains notable amount of variability in the amount of Ambrosia airborne pollen. Detailed crop classification inferred from satellite data revealed the strongest relationship between pollen and variation in areas under soya bean and sugar beet. Maps of Ambrosia infection levels, based on distribution of sugar beet and soya bean fields, instead of total arable land, reveal its additional spatial variability in Vojvodina region.2020truetruetruefalsefalseNONE2021-03-30false00000000000044D1Afalsefalsefalsefalse2021-02-22T17:41:33.216+00001456070trueLanguage10002
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Lugonja, Predrag </span> <span class="author-type"> </span> ; <span class="author-name" > Brdar, Sanja </span> <span class="author-type"> </span> ; <span class="author-name" > Simovic, Isidora ✉ </span> <span class="author-type"> </span> ; <span class="author-name" > Mimic, Gordan </span> <span class="author-type"> </span> ; <span class="author-name" > Palamarchuk, Yuliia </span> <span class="author-type"> </span> ; <span class="author-name" > Sofiev, Mikhail </span> <span class="author-type"> </span> ; <span class="author-name" > Sikoparija, Branko </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;31099708" mtid="31099708" target="_blank">Integration of in situ and satellite data for top-down mapping of Ambrosia infection level</a></div> <div class="pub-info"> <span class="journal-title">REMOTE SENSING OF ENVIRONMENT</span> <span class="journal-volume">235</span> <span class="page"> Paper: 111455 , 12 p. </span> <span class="year">(2019)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1016/j.rse.2019.111455" target="_blank" href="https://doi.org/10.1016%2Fj.rse.2019.111455"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000501937600001" target="_blank" href="http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=CustomerName&SrcApp=CustomerName&DestLinkType=FullRecord&KeyUT=000501937600001&DestApp=WOS"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85073715314" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85073715314"> Scopus </a> </span> <span class="id identifier oa_NONE" title=" Nincs "> <a style="color:black" title="http://www.sciencedirect.com/science/article/pii/S0034425719304742" target="_blank" href="http://www.sciencedirect.com/science/article/pii/S0034425719304742"> Egyéb URL </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:31099708 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Egyeztetett </span></span> <span class="pub-core"> Idéző </span> <span class="pub-type">Folyóiratcikk (Szakcikk ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="JournalArticle Publication long-list">
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<img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png">
<div class="autype autype0"> <span class="author-name" >Lugonja Predrag
</span>
;
<span class="author-name" >Brdar Sanja
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;
<span class="author-name" >Simovic Isidora ✉
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;
<span class="author-name" >Mimic Gordan
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;
<span class="author-name" >Palamarchuk Yuliia
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;
<span class="author-name" >Sofiev Mikhail
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;
<span class="author-name" >Sikoparija Branko
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<div class="title"><a href="/gui2/?mode=browse¶ms=publication;31099708" target="_blank">Integration of in situ and satellite data for top-down mapping of Ambrosia infection level</a></div> <div> <span class="journal-title">REMOTE SENSING OF ENVIRONMENT</span>
<span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0034-4257">0034-4257</a> )</span>:
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<span class="page">
Paper 111455.
12 p.
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Idézett közlemények száma: 4
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<div class="mtid"><span class="long-pub-mtid">Közlemény: 31099708</span>
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<div class="lastModified">Utolsó módosítás: 2020.11.24. 18:41 Ribai Richárdné (ÖK ÖBI admin 5)
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<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: BioSensе Institute - Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, Novi Sad, 21000, Serbia
Finnish Meteorological institute, Finland, Erik Palménin aukio 1, Helsinki, 00560, Finland
Laboratory for palynology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, Novi S...</pre>
</div></div>