How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
Bureau of Economic Analysis · The University of Texas at Austin
Abstract
Abstract Big Data and machine learning (ML) technologies have the potential to impact many facets of environment and water management (EWM). Big Data are information assets characterized by high volume, velocity, variety, and veracity. Fast advances in high-resolution remote sensing techniques, smart information and communication technologies, and social media have contributed to the proliferation of Big Data in many EWM fields, such as weather forecasting, disaster management, smart water and energy management systems, and remote sensing. Big Data brings about new opportunities for data-driven discovery in EWM, but it also requires new forms of information processing, storage, retrieval, as well as analytics.…
Citation impact
- FWCI
- 19.24
- Percentile
- 100%
- References
- 268
Authors
2Topics & keywords
- Big data
- Computer science
- Data science
- Workflow
- Variety (cybernetics)
- Analytics
- Predictive analytics
- Data management