Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data

Kurchaba, S.; Vliet, J. van; Meulman, J.J.; Verbeek, F.J.; Veenman, C.J.

Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data

conference paper

2021

Kurchaba, S.

Vliet, J. van

Meulman, J.J.

Verbeek, F.J.

Veenman, C.J.

Topics

AIS Moran's I NO2 TROPOMI Correlation methods Nitrogen oxides Quality control Area monitoring Automated methods Automatic identification signal Coastal area NOx emissions Satellite data Spatial associations

TNO Identifier

967688

Repository link

https://resolver.tno.nl/uuid:8b00304f-1635-43c1-89fe-3f20678eb406

ISBN

9781450386647

Publisher

Association for Computing Machinery

Source title

Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021, 2-5 November 2021, Beijing, China

Pages

454-457

Files

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Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data

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