PapersFlow Research Brief
Environmental Monitoring and Data Management
Research Guide
What is Environmental Monitoring and Data Management?
Environmental Monitoring and Data Management is the management, analysis, and visualization of hydrologic and environmental data through tools like web services for data discovery, open source software for data visualization, sensor networks for environmental monitoring, and community hydrologic information systems.
This field encompasses hydroinformatics with 51,853 works focused on hydrologic and environmental data handling. Key areas include sensor networks, data visualization using open source software, and web services for data discovery. Developments support community hydrologic information systems for environmental observations and water resources management.
Topic Hierarchy
Research Sub-Topics
Environmental Sensor Networks
This sub-topic covers deployment, data fusion, and communication protocols for wireless sensor networks in earth observation. Researchers focus on scalability, energy efficiency, and real-time monitoring applications.
Hydrogeological Data Visualization
Scholars develop open-source tools like Generic Mapping Tools for mapping hydrologic datasets, including terrain analysis and spatiotemporal visualization. Applications span flood modeling and groundwater studies.
PARAFAC Analysis of Fluorescence
This area applies parallel factor analysis to decompose dissolved organic matter fluorescence spectra, characterizing water quality parameters. Methodological advancements include multi-way modeling and calibration.
Integrated Environmental Modeling
Researchers design frameworks for coupling hydrologic, atmospheric, and ecological models, addressing uncertainty propagation and model interoperability. Vision papers outline community standards.
Automated Phytoplankton Taxonomy
This subfield develops imaging flow cytometry and machine learning for classifying phytoplankton species in real-time. Studies validate against traditional microscopy in marine monitoring.
Why It Matters
Environmental Monitoring and Data Management enables precise analysis of geoscience data through tools like Generic Mapping Tools (GMT), which Wessel et al. (2013) updated to include 80 core and 40 supplemental modules for interpolating, filtering, projecting, and plotting time series and gridded datasets, aiding over 3,950 citing studies. Sensor networks, as reviewed by Hart and Martinez (2006), provide data for earth system science, with 760 citations reflecting their role in monitoring environmental changes. Fluorescence analysis of dissolved organic matter, detailed by Stedmon and Bro (2008) via parallel factor analysis on excitation-emission matrices, quantifies aquatic DOM changes, cited 2,692 times for water quality applications. Integrated modeling visions by Laniak et al. (2012), with 464 citations, support decision-making in environmental policy across water resources and geological studies.
Reading Guide
Where to Start
'Generic Mapping Tools: Improved Version Released' by Wessel et al. (2013), as it introduces core open-source software for geoscience data analysis and visualization, foundational for hydroinformatics with 3,950 citations.
Key Papers Explained
Wessel et al. (2013) 'Generic Mapping Tools: Improved Version Released' provides open-source tools for data manipulation cited 3,950 times, which Stedmon and Bro (2008) 'Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial' builds on for DOM analysis (2,692 citations) using similar data processing. Hart and Martinez (2006) 'Environmental Sensor Networks: A revolution in the earth system science?' (760 citations) extends this to sensor data collection, while Laniak et al. (2012) 'Integrated environmental modeling: A vision and roadmap for the future' (464 citations) integrates these for modeling frameworks. Sosik and Olson (2007) 'Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry' (441 citations) applies visualization to marine monitoring.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Field centers on hydroinformatics with 51,853 works, emphasizing web services, open source software, and sensor networks. Laniak et al. (2012) roadmap points to unified hydrologic systems. No recent preprints or news available, so frontiers follow from established tools like GMT and sensor reviews.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Generic Mapping Tools: Improved Version Released | 2013 | Eos | 4.0K | ✕ |
| 2 | Characterizing dissolved organic matter fluorescence with para... | 2008 | Limnology and Oceanogr... | 2.7K | ✓ |
| 3 | Über die Extraktion von Bakterien mit Phenol/Wasser | 1952 | Zeitschrift für Naturf... | 1.9K | ✓ |
| 4 | ‘Zur Lehre von der Wirkung der Salze’ (about the science of th... | 2004 | Current Opinion in Col... | 1.1K | ✕ |
| 5 | Environmental Sensor Networks: A revolution in the earth syste... | 2006 | Earth-Science Reviews | 760 | ✕ |
| 6 | Methods for the Study of Marine Benthos. | 1972 | Journal of Applied Eco... | 502 | ✕ |
| 7 | CmapTools: A Knowledge Modeling and Sharing Environment | 2004 | — | 477 | ✕ |
| 8 | Integrated environmental modeling: A vision and roadmap for th... | 2012 | Environmental Modellin... | 464 | ✕ |
| 9 | An Introduction to Environmental Biophysics | 1977 | Journal of Environment... | 444 | ✕ |
| 10 | Automated taxonomic classification of phytoplankton sampled wi... | 2007 | Limnology and Oceanogr... | 441 | ✓ |
Frequently Asked Questions
What is Generic Mapping Tools (GMT)?
Generic Mapping Tools (GMT) is an open-source software package for analysis and display of geoscience data. Wessel et al. (2013) released an improved version with 80 core and 40 supplemental modules for interpolating, filtering, manipulating, projecting, and plotting time series and gridded datasets. It has received 3,950 citations.
How is dissolved organic matter characterized in environmental monitoring?
Dissolved organic matter (DOM) fluoresces under ultraviolet light, quantified through excitation-emission matrices. Stedmon and Bro (2008) provide a tutorial on parallel factor analysis for mapping fluorescence properties in aquatic environments. The method has 2,692 citations.
What role do sensor networks play in environmental data management?
Sensor networks collect real-time environmental data for earth system science. Hart and Martinez (2006) examine their potential in 'Environmental Sensor Networks: A revolution in the earth system science?', cited 760 times. They support monitoring in hydrology and geology.
What is integrated environmental modeling?
Integrated environmental modeling combines data management and simulation for complex systems. Laniak et al. (2012) outline a vision and roadmap in 'Integrated environmental modeling: A vision and roadmap for the future', with 464 citations. It aids hydrologic information systems.
How are phytoplankton classified in flow cytometry for monitoring?
Imaging-in-flow cytometry captures high-resolution phytoplankton images for automated identification. Sosik and Olson (2007) describe taxonomic classification methods in 'Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry', cited 441 times. This supports marine environmental observations.
What software supports knowledge modeling in environmental studies?
CmapTools enables construction and sharing of concept maps for knowledge representation. Cañas et al. (2004) introduce it in 'CmapTools: A Knowledge Modeling and Sharing Environment', with 477 citations. It manages complex environmental data domains.
Open Research Questions
- ? How can sensor networks be scaled for real-time global environmental monitoring without data overload?
- ? What methods improve automated taxonomic classification accuracy for diverse phytoplankton in imaging flow cytometry?
- ? How do parallel factor analysis models evolve to handle varying dissolved organic matter fluorescence in dynamic aquatic systems?
- ? What integration challenges remain in community hydrologic information systems for multi-source data visualization?
- ? How can open-source tools like GMT be extended for emerging web services in hydroinformatics?
Recent Trends
The field holds 51,853 works with no specified 5-year growth rate.
High-citation papers from 2004-2013, such as Wessel et al. with 3,950 citations and Stedmon and Bro (2008) with 2,692, indicate sustained reliance on open-source tools and analysis methods.
2013No recent preprints or news in last 12 months reported.
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