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HARMONIOUS
WG4 Description of Activities: River Flow
M. Perks, M. Kohv – Prague 28 Feb 2019
matthew.perks@ncl.ac.uk @catchmentSci
2
WG4: River flow monitoring using non-
contact methods and traditional techniques
3
§ Assessing methodologies and procedures for
pre-processing analysis including pixel
calibration, frame correction and frame matching
in order to improve the performance of the
image-based flow velocity estimation
§ Providing a selection of methods and procedures
for monitoring streamflow appropriate for the
objective of the study, financial and physical
resources, expertise availability.
Objectives
4
Task 1: Inter-comparison exercises with different algorithms
and procedures to reproduce 3D morphological survey
(A) (B)
(D)
(C)
(F)(E)
Manfreda et al. (2019)
5
Task 1: Inter-comparison exercises with different algorithms
and procedures to reproduce 3D morphological survey
Flight Flight
Plan
Take-off
AGL (m)
Average
AGL (m)
Camera
Tilt
(degree)
Average
GSD
(cm/px )
Number
of
Images
N.1 60 74 0° 1.9 276
N.2 60 74 0° 1.9 268
N.3 60 74 70° - 271
N.4 60 74 20° 2.0 273
N.5 60 74 0° 1.9 257
N.6 120 134 0° 3.3 85
Manfreda et al. (2019)
6
Task 1: Inter-comparison exercises with different algorithms
and procedures to reproduce 3D morphological survey
N. GCPs
3 4 5 6 7 8 9
RMSEX,Y
(m)
10
-4
10
-3
10
-2
10
-1
100
N. GCPs
3 4 5 6 7 8 9
RMSEZ
(m)
10
-2
10
-1
100
101
(B)
RMSEX,Y
= 0.2cm RMSE
Z
= 10cm
RMSE
Z
= 3.5cm
(A)
Single Flight
Combined Flights
Single Flight
Combined Flights
Manfreda et al. (2019)
7
Task 1: Inter-comparison exercises with different algorithms
and procedures to reproduce 3D morphological survey
Optimization of both the choice and combination of flight plans
can reduce the relative error of the 3D model:
• Within two meters without the need to include GCPs
• GCPs reduce the error to within a few cm
The combined use of images extracted from two different flight
config. improved the 3D model, especially z component
• One with a camera at nadir and the second with a 20°
angle
8
Task 1: Inter-comparison exercises with different algorithms
and procedures to reproduce 3D morphological survey
9
Task 2: Assessing methods for monitoring river flow velocity
and discharge
10
Task 2: Assessing methods for monitoring river flow velocity
and discharge
Focus of two short term scientific missions:
• Sophie Pearce (Loughborough Uni.) to Tuscia Uni.
• Robert Ljubicic (Uni. of Belgrade) to Newcastle Uni.
Processing imagery collected with differing flight config:
• Platform (Phantom 4/Matrice), altitude (30 – 56m),
with range of view angles
Processing using differing image velocimetry software:
• LSPIV, LSPTV, Optical flow, KLT-PIV, DischargeApp
11
Task 2: Assessing methods for monitoring river flow velocity
and discharge
Source: Sophie Pearce
12
Task 3: Inter-comparison of different optical sensors, site
characteristics, and algorithms for discharge assessment
Compilation of contributions from research groups across
Europe using fixed and UAS platforms. To to be submitted to
Earth System Science Data (ESSD)
13
Task 3: Inter-comparison of different optical sensors, site
characteristics, and algorithms for discharge assessment
Source: Flavia Tauro
Unfiltered Filtered
14
Future Tasks
Continuing assessment of UAS techniques for velocity
assessment and development of guidelines for best-practise
Workshop on the methods for monitoring river flow velocity
Expansion of UAS monitoring for morphological components of
discharge quantification – stage, water extent, remote
assessment of bathymetry? Change detection?
Discussion between this WG4 and WG1 for identifying and
testing additional approaches for image pre-processing,
specifically geometric correction and image enhancement

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HARMONIOUS - 3D reconstruction and Stream flow monitoring

  • 1. HARMONIOUS WG4 Description of Activities: River Flow M. Perks, M. Kohv – Prague 28 Feb 2019 matthew.perks@ncl.ac.uk @catchmentSci
  • 2. 2 WG4: River flow monitoring using non- contact methods and traditional techniques
  • 3. 3 § Assessing methodologies and procedures for pre-processing analysis including pixel calibration, frame correction and frame matching in order to improve the performance of the image-based flow velocity estimation § Providing a selection of methods and procedures for monitoring streamflow appropriate for the objective of the study, financial and physical resources, expertise availability. Objectives
  • 4. 4 Task 1: Inter-comparison exercises with different algorithms and procedures to reproduce 3D morphological survey (A) (B) (D) (C) (F)(E) Manfreda et al. (2019)
  • 5. 5 Task 1: Inter-comparison exercises with different algorithms and procedures to reproduce 3D morphological survey Flight Flight Plan Take-off AGL (m) Average AGL (m) Camera Tilt (degree) Average GSD (cm/px ) Number of Images N.1 60 74 0° 1.9 276 N.2 60 74 0° 1.9 268 N.3 60 74 70° - 271 N.4 60 74 20° 2.0 273 N.5 60 74 0° 1.9 257 N.6 120 134 0° 3.3 85 Manfreda et al. (2019)
  • 6. 6 Task 1: Inter-comparison exercises with different algorithms and procedures to reproduce 3D morphological survey N. GCPs 3 4 5 6 7 8 9 RMSEX,Y (m) 10 -4 10 -3 10 -2 10 -1 100 N. GCPs 3 4 5 6 7 8 9 RMSEZ (m) 10 -2 10 -1 100 101 (B) RMSEX,Y = 0.2cm RMSE Z = 10cm RMSE Z = 3.5cm (A) Single Flight Combined Flights Single Flight Combined Flights Manfreda et al. (2019)
  • 7. 7 Task 1: Inter-comparison exercises with different algorithms and procedures to reproduce 3D morphological survey Optimization of both the choice and combination of flight plans can reduce the relative error of the 3D model: • Within two meters without the need to include GCPs • GCPs reduce the error to within a few cm The combined use of images extracted from two different flight config. improved the 3D model, especially z component • One with a camera at nadir and the second with a 20° angle
  • 8. 8 Task 1: Inter-comparison exercises with different algorithms and procedures to reproduce 3D morphological survey
  • 9. 9 Task 2: Assessing methods for monitoring river flow velocity and discharge
  • 10. 10 Task 2: Assessing methods for monitoring river flow velocity and discharge Focus of two short term scientific missions: • Sophie Pearce (Loughborough Uni.) to Tuscia Uni. • Robert Ljubicic (Uni. of Belgrade) to Newcastle Uni. Processing imagery collected with differing flight config: • Platform (Phantom 4/Matrice), altitude (30 – 56m), with range of view angles Processing using differing image velocimetry software: • LSPIV, LSPTV, Optical flow, KLT-PIV, DischargeApp
  • 11. 11 Task 2: Assessing methods for monitoring river flow velocity and discharge Source: Sophie Pearce
  • 12. 12 Task 3: Inter-comparison of different optical sensors, site characteristics, and algorithms for discharge assessment Compilation of contributions from research groups across Europe using fixed and UAS platforms. To to be submitted to Earth System Science Data (ESSD)
  • 13. 13 Task 3: Inter-comparison of different optical sensors, site characteristics, and algorithms for discharge assessment Source: Flavia Tauro Unfiltered Filtered
  • 14. 14 Future Tasks Continuing assessment of UAS techniques for velocity assessment and development of guidelines for best-practise Workshop on the methods for monitoring river flow velocity Expansion of UAS monitoring for morphological components of discharge quantification – stage, water extent, remote assessment of bathymetry? Change detection? Discussion between this WG4 and WG1 for identifying and testing additional approaches for image pre-processing, specifically geometric correction and image enhancement