Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-5049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-5049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Dec 2016
Research article |
| 21 Dec 2016
Using crowdsourced web content for informing water systems operations in snow-dominated catchments
Matteo Giuliani
CORRESPONDING AUTHOR
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milano, Italy
Andrea Castelletti
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milano, Italy
Institute of Environmental Engineering, ETH, Wolfgang-Pauli-Str. 15, 8093 Zurich, Switzerland
Roman Fedorov
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milano, Italy
Piero Fraternali
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milano, Italy
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Total article views: 2,273 (including HTML, PDF, and XML)
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Total article views: 418 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- Social media data crowdsourcing as a new stream for environmental planning & monitoring: A review B. Lawu et al. 10.1088/1755-1315/729/1/012013
- A State‐of‐the‐Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing World M. Giuliani et al. 10.1029/2021WR029927
- Passive crowdsourcing of social media in environmental research: A systematic map A. Ghermandi & M. Sinclair 10.1016/j.gloenvcha.2019.02.003
- Diagnosing the Time-Varying Value of Forecasts in Multiobjective Reservoir Control K. Doering et al. 10.1061/(ASCE)WR.1943-5452.0001386
- Modeling the behavior of water reservoir operators via eigenbehavior analysis M. Giuliani & J. Herman 10.1016/j.advwatres.2018.10.021
- Future Hydrology of the Cryospheric Driven Lake Como Catchment in Italy under Climate Change Scenarios F. Fuso et al. 10.3390/cli9010008
- Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Policy Representation Learning for Multiobjective Reservoir Policy Design With Different Objective Dynamics M. Zaniolo et al. 10.1029/2020WR029329
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong 10.1016/j.jhydrol.2018.04.027
- From skill to value: isolating the influence of end user behavior on seasonal forecast assessment M. Giuliani et al. 10.5194/hess-24-5891-2020
- Detecting the State of the Climate System via Artificial Intelligence to Improve Seasonal Forecasts and Inform Reservoir Operations M. Giuliani et al. 10.1029/2019WR025035
- Balancing Open Science and Data Privacy in the Water Sciences S. Zipper et al. 10.1029/2019WR025080
- Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace Y. Zhu et al. 10.1002/gdj3.85
- Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use A. Ghermandi et al. 10.1016/j.oneear.2023.02.008
- Robustness Metrics: How Are They Calculated, When Should They Be Used and Why Do They Give Different Results? C. McPhail et al. 10.1002/2017EF000649
- Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities E. Berglund et al. 10.1061/(ASCE)IS.1943-555X.0000549
- Exploring the benefits of integrated energy-water management in reducing economic and environmental tradeoffs S. Singh et al. 10.1088/2753-3751/ad713d
- Agricultural Research Using Social Media Data S. Zipper 10.2134/agronj2017.08.0495
19 citations as recorded by crossref.
- Social media data crowdsourcing as a new stream for environmental planning & monitoring: A review B. Lawu et al. 10.1088/1755-1315/729/1/012013
- A State‐of‐the‐Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing World M. Giuliani et al. 10.1029/2021WR029927
- Passive crowdsourcing of social media in environmental research: A systematic map A. Ghermandi & M. Sinclair 10.1016/j.gloenvcha.2019.02.003
- Diagnosing the Time-Varying Value of Forecasts in Multiobjective Reservoir Control K. Doering et al. 10.1061/(ASCE)WR.1943-5452.0001386
- Modeling the behavior of water reservoir operators via eigenbehavior analysis M. Giuliani & J. Herman 10.1016/j.advwatres.2018.10.021
- Future Hydrology of the Cryospheric Driven Lake Como Catchment in Italy under Climate Change Scenarios F. Fuso et al. 10.3390/cli9010008
- Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Policy Representation Learning for Multiobjective Reservoir Policy Design With Different Objective Dynamics M. Zaniolo et al. 10.1029/2020WR029329
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong 10.1016/j.jhydrol.2018.04.027
- From skill to value: isolating the influence of end user behavior on seasonal forecast assessment M. Giuliani et al. 10.5194/hess-24-5891-2020
- Detecting the State of the Climate System via Artificial Intelligence to Improve Seasonal Forecasts and Inform Reservoir Operations M. Giuliani et al. 10.1029/2019WR025035
- Balancing Open Science and Data Privacy in the Water Sciences S. Zipper et al. 10.1029/2019WR025080
- Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace Y. Zhu et al. 10.1002/gdj3.85
- Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use A. Ghermandi et al. 10.1016/j.oneear.2023.02.008
- Robustness Metrics: How Are They Calculated, When Should They Be Used and Why Do They Give Different Results? C. McPhail et al. 10.1002/2017EF000649
- Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities E. Berglund et al. 10.1061/(ASCE)IS.1943-555X.0000549
- Exploring the benefits of integrated energy-water management in reducing economic and environmental tradeoffs S. Singh et al. 10.1088/2753-3751/ad713d
- Agricultural Research Using Social Media Data S. Zipper 10.2134/agronj2017.08.0495
Latest update: 20 Nov 2024
Short summary
The unprecedented availability of user-generated data on the Web is opening new opportunities for enhancing real-time monitoring and modeling of environmental systems based on data that are public, low-cost, and spatiotemporally dense. In this paper, we contribute a novel crowdsourcing procedure for extracting snow-related information from public web images. The value of the obtained virtual snow indexes is assessed for a real-world water management problem.
The unprecedented availability of user-generated data on the Web is opening new opportunities...
