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Current Practices in UAS-based Environmental Monitoring
WG1 Meeting, Webinar, supposed to be in Valencia, 27 March 2020
Prof. Salvatore Manfreda
Professor of Hydrology and Advanced Monitoring - www.salvatoremanfreda.it
Chair of the COST Action Harmonious - www.costharmonious.eu
2
Unmanned Arial Systems (UAS) for Environmental Monitoring
Scope: state of the vegetation, streamflow (speed and water level), extension of the
flooded areas and morphology.
Objective: To define integrated procedures to improve hydrological/hydraulic
monitoring capacity using UAS.
Scale: from plot-scale to the river basin scale providing operational monitoring tools.
3
§ A network of scientists is currently cooperating within the
framework of a COST (European Cooperation in Science and
Technology) Action named “Harmonious”.
§ The aim of “Harmonious” is to promote monitoring
strategies, establish harmonized monitoring practices,
and transfer most recent advances on UAS
methodologies to others within a global network.
§ HARMONIOUS involves 36 Countries
COST Action HARMONIOUS
4
Contrast
Enhancement
Geometric Correction
and image calibration
WG3
Soil Moisture Content
Leader Yijian Zeng
Vice leader Anna Brook
Stream flow
River morphology
WG2
Vegetation Status
Leader Antonino Maltese
Vice leader Felix Frances
Vice leader Jana Mullerova
Harmonization
of different
procedures and
algorithms in
different
environments
WG1: UAS data
processing
Leader Sorin Herban
Vice leader Corine Davis
WG5: Harmonization of
methods and results
Leader Eyal Ben Dor
Vice leader Flavia Tauro
WG4
Leader Matthew Perks
Vice leader Dariia Strelnikova
Action Chair Salvatore Manfreda
Vice Chair Brigitta Toth
Science Communications Manager: László Bertalan
STSM coordinator: Isabel De Lima
Training School Coordinator: Giuseppe Ciraolo
ITC Grant Coordinator: Martin Mokros
HARMONIOUS Action
5
Review Manuscript on identifying the aims of the Action
Paper: https://doi.org/10.3390/rs10040641
Action Deliverables
6
Review Manuscript on identifying the aims of the Action
Paper: https://doi.org/10.3390/rs10040641
Action Deliverables
7
Stream Flow Monitoring – Data Collection for Benchmarking Optical
Techniques
Paper: https://www.earth-syst-sci-data-discuss.net/essd-2019-133/
Data: https://doi.org/10.4121/uuid:34764be1-31f9-4626-8b11-705b4f66b95a
Image velocimetry data available for 12 case studies
Action Deliverables
8
Image Velocimetry Techniques
Paper: https://doi.org/10.3390/rs12020232
Action Deliverables
9
WG1: On the Accuracy of DSM
Paper: https://doi.org/10.3390/drones3010015
Action Deliverables
10
Deliverables on Guidelines for UAS-based monitoring
Paper: https://doi.org/10.3390/rs12061001
Action Deliverables
11
output product;
quality parameters;
software and hardware;
experiment design;
environmental conditions;
internal (affected) parameters.
NB: The arrow color indicates the type
of relationship: gray - direct
dependence, orange - inverse
dependence.
The influence of various study conditions on the output
quality of a UAS observation
12
Activities involved in UAS-based mapping
13
(Dis)advantages of different platforms
14
Preliminary checklist before flying
15
Metadata associated with each
UAS-survey
A detailed description of the flight characteristics and
preprocessing activities carried out on the published
data is extremely useful, not only for scientific
reproducibility, but also to guarantee a certain quality,
while also advancing and educating the broader field.
All potential variables and details about a survey are
listed UAS survey form.
16
List of the UAS mission planning software and their main characteristics
17
Proposed UAS environmental mapping workflow
18
§ UAS-based remote sensing provides new advanced procedures to monitor key
variables, including vegetation status, soil moisture content, and stream flow.
§ The detailed description of such variables will increase our capacity to describe
water resource availability and assist agricultural and ecosystem management.
§ HARMONIOUS COST Action is supporting the definition of standardized
protocols for UAS-based applications to improve reliability of such technology.
§ Aim of the next activities is to specialize these guidelines on specific aspects
and build new tools to support the use of UAS for environmental monitoring.
Final Remarks
19
§ Tmušić, G.; Manfreda, S.; Aasen, H.; James, M.R.; Gonçalves, G.; Ben-Dor, E.; Brook, A.; Polinova, M.; Arranz, J.J.; Mészáros, J.; Zhuang, R.;
Johansen, K.; Malbeteau, Y.; de Lima, I.P.; Davids, C.; Herban, S.; McCabe, M.F. Current Practices in UAS-based Environmental
Monitoring. Remote Sens., 12, 1001, 2020. [pdf]
§ Pearce, S.;R.; R. Ljubičić; S. Peña-Haro; M. Perks; F. Tauro; A. Pizarro; S.F. Dal Sasso; D. Strelnikova; S. Grimaldi; I. Maddock; G. Paulus; J. Plavšić; D.
Prodanović; S. Manfreda, An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using
Unmanned Aerial Systems, Remote Sensing, 12, 232, (doi: 10.3390/rs12020232) 2020. [pdf]
§ Perks, M. T., S. Fortunato Dal Sasso, A. Hauet, S. Pearce, S. Peña-Haro, F. Tauro, S. Grimaldi, B. Hortobágyi, M. Jodeau, J. Le Coz, I. Maddock, L.
Pénard, and S. Manfreda, Towards harmonization of image velocimetry techniques for river surface velocity observations, Earth System
Science Data Discussion, https://www.earth-syst-sci-data-discuss.net/essd-2019-133/, 2019. [pdf]
§ Manfreda,S., S. F. Dal Sasso, A. Pizarro, F. Tauro, Chapter 10: New Insights Offered by UAS for River Monitoring, Applications of Small Unmanned
Aircraft Systems: Best Practices and Case Studies, CRC Press, Taylor & Francis Groups, 211, 2019.
§ Manfreda, S., M.F. McCabe. Emerging earth observing platforms offer new insights into hydrological processes, Hydrolink, 1, 8-9, 2019. [pdf]
§ Manfreda, S., P. Dvorak, J. Mullerova, S. Herban, P. Vuono, J.J. Arranz Justel, M. Perks, Assessing the Accuracy of Digital Surface Models
Derived from Optical Imagery Acquired with Unmanned Aerial Systems, Drones, 3(1), 15; (doi: 10.3390/drones3010015), 2019. [pdf]
§ Manfreda, S., M. F. McCabe, P. E. Miller, R. Lucas, V. Pajuelo Madrigal, G. Mallinis, E. Ben-Dor, D. Helman, L. Estes, G. Ciraolo, J. Müllerová, F. Tauro,
M. I. de Lima, J. L. M. P. de Lima, A. Maltese, F. Frances, K. Caylor, M. Kohv, M. Perks, G. Ruiz-Pérez, Z. Su, G. Vico, and B. Toth, On the Use of
Unmanned Aerial Systems for Environmental Monitoring, Remote Sensing, 10(4), 641; (doi:10.3390/rs10040641) 2018. [pdf]
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Current Practices in UAS-based Environmental Monitoring

  • 1. Current Practices in UAS-based Environmental Monitoring WG1 Meeting, Webinar, supposed to be in Valencia, 27 March 2020 Prof. Salvatore Manfreda Professor of Hydrology and Advanced Monitoring - www.salvatoremanfreda.it Chair of the COST Action Harmonious - www.costharmonious.eu
  • 2. 2 Unmanned Arial Systems (UAS) for Environmental Monitoring Scope: state of the vegetation, streamflow (speed and water level), extension of the flooded areas and morphology. Objective: To define integrated procedures to improve hydrological/hydraulic monitoring capacity using UAS. Scale: from plot-scale to the river basin scale providing operational monitoring tools.
  • 3. 3 § A network of scientists is currently cooperating within the framework of a COST (European Cooperation in Science and Technology) Action named “Harmonious”. § The aim of “Harmonious” is to promote monitoring strategies, establish harmonized monitoring practices, and transfer most recent advances on UAS methodologies to others within a global network. § HARMONIOUS involves 36 Countries COST Action HARMONIOUS
  • 4. 4 Contrast Enhancement Geometric Correction and image calibration WG3 Soil Moisture Content Leader Yijian Zeng Vice leader Anna Brook Stream flow River morphology WG2 Vegetation Status Leader Antonino Maltese Vice leader Felix Frances Vice leader Jana Mullerova Harmonization of different procedures and algorithms in different environments WG1: UAS data processing Leader Sorin Herban Vice leader Corine Davis WG5: Harmonization of methods and results Leader Eyal Ben Dor Vice leader Flavia Tauro WG4 Leader Matthew Perks Vice leader Dariia Strelnikova Action Chair Salvatore Manfreda Vice Chair Brigitta Toth Science Communications Manager: László Bertalan STSM coordinator: Isabel De Lima Training School Coordinator: Giuseppe Ciraolo ITC Grant Coordinator: Martin Mokros HARMONIOUS Action
  • 5. 5 Review Manuscript on identifying the aims of the Action Paper: https://doi.org/10.3390/rs10040641 Action Deliverables
  • 6. 6 Review Manuscript on identifying the aims of the Action Paper: https://doi.org/10.3390/rs10040641 Action Deliverables
  • 7. 7 Stream Flow Monitoring – Data Collection for Benchmarking Optical Techniques Paper: https://www.earth-syst-sci-data-discuss.net/essd-2019-133/ Data: https://doi.org/10.4121/uuid:34764be1-31f9-4626-8b11-705b4f66b95a Image velocimetry data available for 12 case studies Action Deliverables
  • 8. 8 Image Velocimetry Techniques Paper: https://doi.org/10.3390/rs12020232 Action Deliverables
  • 9. 9 WG1: On the Accuracy of DSM Paper: https://doi.org/10.3390/drones3010015 Action Deliverables
  • 10. 10 Deliverables on Guidelines for UAS-based monitoring Paper: https://doi.org/10.3390/rs12061001 Action Deliverables
  • 11. 11 output product; quality parameters; software and hardware; experiment design; environmental conditions; internal (affected) parameters. NB: The arrow color indicates the type of relationship: gray - direct dependence, orange - inverse dependence. The influence of various study conditions on the output quality of a UAS observation
  • 12. 12 Activities involved in UAS-based mapping
  • 15. 15 Metadata associated with each UAS-survey A detailed description of the flight characteristics and preprocessing activities carried out on the published data is extremely useful, not only for scientific reproducibility, but also to guarantee a certain quality, while also advancing and educating the broader field. All potential variables and details about a survey are listed UAS survey form.
  • 16. 16 List of the UAS mission planning software and their main characteristics
  • 17. 17 Proposed UAS environmental mapping workflow
  • 18. 18 § UAS-based remote sensing provides new advanced procedures to monitor key variables, including vegetation status, soil moisture content, and stream flow. § The detailed description of such variables will increase our capacity to describe water resource availability and assist agricultural and ecosystem management. § HARMONIOUS COST Action is supporting the definition of standardized protocols for UAS-based applications to improve reliability of such technology. § Aim of the next activities is to specialize these guidelines on specific aspects and build new tools to support the use of UAS for environmental monitoring. Final Remarks
  • 19. 19 § Tmušić, G.; Manfreda, S.; Aasen, H.; James, M.R.; Gonçalves, G.; Ben-Dor, E.; Brook, A.; Polinova, M.; Arranz, J.J.; Mészáros, J.; Zhuang, R.; Johansen, K.; Malbeteau, Y.; de Lima, I.P.; Davids, C.; Herban, S.; McCabe, M.F. Current Practices in UAS-based Environmental Monitoring. Remote Sens., 12, 1001, 2020. [pdf] § Pearce, S.;R.; R. Ljubičić; S. Peña-Haro; M. Perks; F. Tauro; A. Pizarro; S.F. Dal Sasso; D. Strelnikova; S. Grimaldi; I. Maddock; G. Paulus; J. Plavšić; D. Prodanović; S. Manfreda, An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems, Remote Sensing, 12, 232, (doi: 10.3390/rs12020232) 2020. [pdf] § Perks, M. T., S. Fortunato Dal Sasso, A. Hauet, S. Pearce, S. Peña-Haro, F. Tauro, S. Grimaldi, B. Hortobágyi, M. Jodeau, J. Le Coz, I. Maddock, L. Pénard, and S. Manfreda, Towards harmonization of image velocimetry techniques for river surface velocity observations, Earth System Science Data Discussion, https://www.earth-syst-sci-data-discuss.net/essd-2019-133/, 2019. [pdf] § Manfreda,S., S. F. Dal Sasso, A. Pizarro, F. Tauro, Chapter 10: New Insights Offered by UAS for River Monitoring, Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies, CRC Press, Taylor & Francis Groups, 211, 2019. § Manfreda, S., M.F. McCabe. Emerging earth observing platforms offer new insights into hydrological processes, Hydrolink, 1, 8-9, 2019. [pdf] § Manfreda, S., P. Dvorak, J. Mullerova, S. Herban, P. Vuono, J.J. Arranz Justel, M. Perks, Assessing the Accuracy of Digital Surface Models Derived from Optical Imagery Acquired with Unmanned Aerial Systems, Drones, 3(1), 15; (doi: 10.3390/drones3010015), 2019. [pdf] § Manfreda, S., M. F. McCabe, P. E. Miller, R. Lucas, V. Pajuelo Madrigal, G. Mallinis, E. Ben-Dor, D. Helman, L. Estes, G. Ciraolo, J. Müllerová, F. Tauro, M. I. de Lima, J. L. M. P. de Lima, A. Maltese, F. Frances, K. Caylor, M. Kohv, M. Perks, G. Ruiz-Pérez, Z. Su, G. Vico, and B. Toth, On the Use of Unmanned Aerial Systems for Environmental Monitoring, Remote Sensing, 10(4), 641; (doi:10.3390/rs10040641) 2018. [pdf] Related Publications