Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience

Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience

The development of remotely sensed products such as land cover requires large amounts of high-quality reference data, needed to train remote sensing classification algorithms and for validation. However, due to the lack of sharing and the high costs associated with data collection, particularly grou...

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Bibliographic Details
Main Authors: Linda See, Juan Carlos Laso Bayas, Myroslava Lesiv, Dmitry Schepaschenko, Olga Danylo, Ian McCallum, Martina Dürauer, Ivelina Georgieva, Dahlia Domian, Dilek Fraisl, Gerid Hager, Santosh Karanam, Inian Moorthy, Tobias Sturn, Anto Subash, Steffen Fritz
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Environmental Research Letters
Subjects:
remote sensing
reference data
citizen science
crowdsourcing
land cover
environmental monitoring
Online Access:https://doi.org/10.1088/1748-9326/ac6ad7

Internet

https://doi.org/10.1088/1748-9326/ac6ad7

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