DocumentCode
3070218
Title
Remote sensing and crowd-sourcing
Author
Guida, Raffaella ; Brett, Peter T. B. ; Khan, Shabia Shabir
Author_Institution
Surrey Space Centre, Univ. of Surrey, Guildford, UK
fYear
2013
fDate
21-26 July 2013
Firstpage
3942
Lastpage
3945
Abstract
Collection of ground truth to validate remote sensing classification and/or detection algorithms is rarely accounted for due to the inaccessibility of the sites or the elevated costs of such operations. In this paper some of the opportunities behind crowd-sourcing are explored through the description of a remote sensing project on water quality monitoring in Africa where the ground truth was collected involving and training people from local communities.
Keywords
environmental monitoring (geophysics); geophysical image processing; image classification; remote sensing; water quality; Africa; crowd sourcing; remote sensing classification algorithms; remote sensing detection algorithms; remote sensing project; water quality monitoring; Data processing; Diseases; Educational institutions; Indexes; Lakes; Monitoring; Remote sensing; crowd-sourcing; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723695
Filename
6723695
Link To Document