About: Air pollution detection using MODIS data

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Obtaining reliable air pollution data is limited to a number of ground measuring stations and their spatial location. We used an alternative approach and created statistical models that employed remotely sensed imageries. To establish empirical relationships, we used multi-temporal (2006-2009) MODIS aerosol optical thickness data (product MOD04, Level 2) and the PM10 ground mass concentrations. The north-western part of the Czech Republic (namely the Karlovarský and the Ústecký regions) was chosen as a test site, as all the different types of cultural landscape (forest-economical, agricultural, mining, and urban) can be found within one MODIS scene. This study was focused on the various aspects as follows (i) analysis of MODIS AOT / stationary PM10 time-series trend between 2006-2009, (ii) establishing a linear relationship between PM10 and AOT values for each station and (iii) evaluation of a spatial relationship of the annual mean AE (Ångström Exponent) and PM10 values. Obtaining reliable air pollution data is limited to a number of ground measuring stations and their spatial location. We used an alternative approach and created statistical models that employed remotely sensed imageries. To establish empirical relationships, we used multi-temporal (2006-2009) MODIS aerosol optical thickness data (product MOD04, Level 2) and the PM10 ground mass concentrations. The north-western part of the Czech Republic (namely the Karlovarský and the Ústecký regions) was chosen as a test site, as all the different types of cultural landscape (forest-economical, agricultural, mining, and urban) can be found within one MODIS scene. This study was focused on the various aspects as follows (i) analysis of MODIS AOT / stationary PM10 time-series trend between 2006-2009, (ii) establishing a linear relationship between PM10 and AOT values for each station and (iii) evaluation of a spatial relationship of the annual mean AE (Ångström Exponent) and PM10 values. (en)
Title	Air pollution detection using MODIS data Air pollution detection using MODIS data (en)
skos:prefLabel	Air pollution detection using MODIS data Air pollution detection using MODIS data (en)
skos:notation	RIV/00025798:_____/11:00000457!RIV12-MZP-00025798
http://linked.open...avai/riv/aktivita	I P Z
http://linked.open...avai/riv/aktivity	I, P(GA205/09/1989), Z(MZP0002579801)
http://linked.open...iv/cisloPeriodika	11/2011
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Harbula, Jan Kopačková, Veronika
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Česká geologická služba
http://linked.open...dnocenehoVysledku	184912
http://linked.open...ai/riv/idVysledku	RIV/00025798:_____/11:00000457
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	MODIS,time-series,multi-temporal analysis,aerosol optical thickness,PM10, air pollution,empirical models (en)
http://linked.open.../riv/klicoveSlovo	MODIS PM10 aerosol optical thickness air pollution empirical models multi-temporal analysis time-series
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[B5E52C06CC54]
http://linked.open...i/riv/nazevZdroje	Proceedings of SPIE
http://linked.open...in/vavai/riv/obor	DB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Assessment of Mining Related Impacts Based on Utilization of ARES Airborne Hyperspectral Sensor
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	8181
http://linked.open...iv/tvurceVysledku	Harbula, Jan Kopačková, Veronika
http://linked.open...ain/vavai/riv/wos	000297788000031
http://linked.open...n/vavai/riv/zamer	Geosciences for the Society of the 21st Century: from regional research to geological hazards and global changes.
issn	0277-786X
number of pages	15 (xsd:int)
http://bibframe.org/vocab/doi	10.1117/12.898107

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