Advancing observation systems for a changing world
Introduction
Hydrological monitoring is undergoing a profound transformation driven by technological innovation, interdisciplinary approaches, and the urgent need to understand complex water-related processes. Traditional monitoring systems, while foundational, are increasingly insufficient to capture the spatial and temporal variability of hydrological dynamics in a rapidly changing environment .
Recent advances in remote sensing, unmanned aerial systems (UAS), image-based techniques, and low-cost sensing technologies are redefining how we observe, measure, and interpret hydrological processes. These innovations enable higher-resolution data, improved accessibility, and new opportunities for real-time and large-scale monitoring.
From Traditional Monitoring to Innovative Observation Systems
Conventional hydrological monitoring relies heavily on in situ measurements, which remain the “gold standard” but are often limited by cost, maintenance, and spatial coverage . The decline in monitoring networks worldwide has further emphasized the need for alternative approaches.
Innovative monitoring systems aim to:
- Increase spatial and temporal resolution
- Reduce costs and logistical constraints
- Enable continuous and distributed observations
- Integrate multi-source data streams
The emergence of new Earth Observation platforms—including satellites, drones, and ground-based imaging systems—has significantly expanded observational capabilities.
Role of Unmanned Aerial Systems (UAS)
Unmanned Aerial Systems have become a cornerstone of modern environmental monitoring by bridging the gap between ground observations and satellite remote sensing .
Key Contributions
- High-resolution spatial data acquisition
- Flexible deployment across diverse environments
- Cost-effective monitoring solutions
- Multi-sensor integration (optical, thermal, multispectral)
However, the rapid growth of UAS applications has led to fragmented methodologies, highlighting the need for standardization and harmonization of workflows .
Standardized Workflow (HARMONIOUS framework)
A major contribution of your research is the development of a generalized workflow for UAS-based monitoring, consisting of:
- Study design
- Pre-flight fieldwork
- Flight mission
- Data processing
- Quality assurance
This framework improves data quality, reproducibility, and operational efficiency .
Image-Based Hydrological Monitoring
One of the most transformative innovations is the use of image-based techniques for hydrological observations.
Applications
- Surface flow velocity estimation
- Flood monitoring
- River discharge estimation
- Snow and rainfall detection
Optical sensing and computer vision methods (e.g., image velocimetry) allow non-invasive and spatially distributed measurements, offering new insights into hydrological processes .
Recent Advances
Your recent work highlights how image-based river monitoring can:
- Improve accuracy and data richness
- Enable real-time analysis
- Integrate with artificial intelligence and citizen science
- Support decision-making in water management
These approaches represent a paradigm shift toward scalable, data-driven monitoring systems .
Innovation through Interdisciplinarity: The MOXXI Initiative
The MOXXI (Measurements and Observations in the XXI Century) initiative emphasizes innovation through:
- Low-cost sensing technologies
- Citizen science and participatory monitoring
- Cross-disciplinary collaboration
- Custom-built and opportunistic measurement systems
This initiative promotes a shift from traditional monitoring to adaptive, flexible, and creative observation strategies .
Challenges and Future Directions
Despite significant progress, several challenges remain:
- Lack of standardized protocols across applications
- Data integration and interoperability issues
- Quality assurance and uncertainty quantification
- Regulatory and operational constraints
Future research directions include:
- Integration of AI and machine learning
- Development of real-time monitoring systems
- Fusion of multi-source datasets
- Expansion of citizen science networks
The convergence of these approaches is expected to create a new generation of smart hydrological monitoring systems.
Publications
- Manfreda, S., & McCabe, M. F. (2019)
Emerging Earth observing platforms offer new insights into hydrological processes - Tauro, F., et al. (2018)
Measurements and Observations in the XXI century (MOXXI) - Manfreda, S., et al. (2018)
On the Use of Unmanned Aerial Systems for Environmental Monitoring - Tmušić, G., et al. (2020)
Current Practices in UAS-based Environmental Monitoring - Manfreda, S. (2021)
UAS-based Environmental Monitoring: Improving data collection through a standardized workflow - Manfreda, S., et al. (2024)
Advancing river monitoring using image-based techniques: challenges and opportunities - Manfreda, S., & Ben-Dor, E. (2023)
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments
