THE PICTURE PILE TOOL FOR RAPID IMAGE ASSESSMENT: A DEMONSTRATION USING HURRICANE MATTHEW

7 citations as recorded by crossref.

1. Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project G. Foody et al. 10.1080/10095020.2022.2100285
2. Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information F. Orduna-Cabrera et al. 10.3390/geographies3030029
3. Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment T. Valentijn et al. 10.3390/rs12172839
4. Feasibility of P2P-STB based crowdsourcing to speed-up photo classification for natural disasters F. Loor et al. 10.1007/s10586-021-03381-6
5. Mapping citizen science contributions to the UN sustainable development goals D. Fraisl et al. 10.1007/s11625-020-00833-7
6. Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring D. Fraisl et al. 10.1016/j.envsci.2021.10.034
7. Unpacking the role of volunteered geographic information in disaster management: focus on data quality M. Tavra et al. 10.1080/19475705.2023.2300825