Volunteered Geographic Information, Citizen Science and Machine Learning in the Service of Sustainable Development Goals and the Sendai Framework-Reference-Cited by-同舟云学术

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Volunteered Geographic Information, Citizen Science and Machine Learning in the Service of Sustainable Development Goals and the Sendai Framework

Published:2023 Issue:1 Volume:8 Page:
ISSN:2057-4991
Container-title:Citizen Science: Theory and Practice
language:en
Short-container-title:

Author:

Antoniou Vyron^ORCID

Publisher

Ubiquity Press, Ltd.

Subject

Multidisciplinary

Reference77 articles.

1. Spatial gaps in global biodiversity information and the role of citizen science;Bioscience,2016

2. Earth observation in service of the 2030 Agenda for Sustainable Development;Geo-spatial Information Science,2017

3. Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development;Remote Sensing,2023

4. Antoniou, V. 2011. User generated spatial content: an analysis of the phenomenon and its challenges for mapping agencies. PhD Thesis, University College London.

5. A Deep Learning Method to Accelerate the Disaster Response Process;Remote Sensing,2020

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