Air pollution detection using MODIS data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F11%3A00000457" target="_blank" >RIV/00025798:_____/11:00000457 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.898107" target="_blank" >http://dx.doi.org/10.1117/12.898107</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.898107" target="_blank" >10.1117/12.898107</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Air pollution detection using MODIS data

Popis výsledku v původním jazyce

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 atest 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 (?ngström Exponent) and PM10 values.

Název v anglickém jazyce

Air pollution detection using MODIS data

Popis výsledku anglicky

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 atest 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 (?ngström Exponent) and PM10 values.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DB - Geologie a mineralogie

OECD FORD obor

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Projekt

<a href="/cs/project/GA205%2F09%2F1989" target="_blank" >GA205/09/1989: Vyhodnocení environmentálních vlivů povrchové těžby postavené na analýze dat hyperspektráního sensoru ARES</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Proceedings of SPIE

ISSN

0277-786X

e-ISSN

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Svazek periodika

8181

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

"81811E-1"-"81811E-15"

Kód UT WoS článku

000297788000031

EID výsledku v databázi Scopus

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