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Steep #3
3.1 Reporting / Decision
making with community
and partners.
3.2 Examples
Steep#1 (3 days)
1.1 Data Preparation J-3
1.2 UAV Flight
1.2 Mapping Party OSM
Data collection (picture).
Steep #2 (7 days)
2.1 Focus group
2.2 First Simulation
(slope, Elevation model
for Hydro)
Keys Words:
Focus group
Validation
Flood simulation
Keys Words:
Decising making
Community partners
Keys Words :
Data preparation
Mapping party
Human-Centered approach in
Urban area with OpenStreetMap
Collection of spatial data:
Admin, Road, settlement, analysis (damage assessment, flood,
etc) . Satellite image / Drone image
for FLOOD simulation
Orthophoto
Digital Surface Model
UAV
VALIDATION
Water level
Discharge measurement
UAV orthophoto
Land cover
Cleansing DSM
Existing
Satellite: Orthophoto, Digital Terrain Model (DTM)
GIS information: Locals, Open data platform (Open Street Map)
Hydro meteorological information: Precipitation, discharge
1.1 Data Preparation
Map your environment with local the
community during a mapping party.
OPEN DATA is available
Yes
Integrate them
inside
OpenStreetMap
Database.
No
UAV mission. Utilization steps
UAV flight plan
3D points from 2D Keypoint matches.
3D visualisation of River Digital Surface Model points cloud
High: 54
Low: 18
Elevation:
UAV Digital Surface Model (DSM)
Haiti, 3D visualisation of Canaan's zone. 1 meters contour lines
UAV Digital Surface Model (DSM)
Port Au Prince, Orthomosaic of Canaan. Rectification and fusion of Red, Green, Blue and Near infra red spectral bands. False colour visualisation
UAV Orthophoto
High: 42
Low: 25
High: 54
Low: 18
Haiti, university of Limonade. Digital Terrain Model (DTM) 10 cm resolution
Elevation:
Elevation:
UAV Digital Surface Model (DSM)
Haiti, Port au Prince. Google satellite orthophoto;
40cm pixel size resolution
UAV orthophoto; 4 cm pixel size resolution
UAV Images
Steep #2
2.1 Community Audit
.
- Need Assessment
- Outcomes mapping
- Focus group
- Problem /Solution
Steep #2
2.1 Participatory GIS
.
2 - Participatory GIS in risk reduction (Cite Soleil) with OSM platform
2.1 – Discussion with Focus group Training
2.2 – Survey with walking paper and form
2.3 – Editing JOSM
✓ Participatory mapping makes possible to
update geographic information and plan
interventions together
Steep #2
2.1 Survey
Canal survey in Cite Soleil for risk reduction project
.
Steep #2
2.1 Survey
Road assessment using OSM plateform (per section)
Land Use
Bridges
Storage areas
Lateral structures
Stream network
….
Manning’s coefficent
CN, Curve Number
….
Data cleansing
Hydro metereological
information
Precipitations
Discharge measurement
….
Steep #2
2.1 Data flood for simulation
1st Hydraulic simulation
1st Simulation
Problem!
Too many information
1st Hydraulic simulation
Data cleansing
Z
Haiti, Martisan’s basin. Land Cover
Feature Classification Feature Segmentation Feature-based image analyse
Haiti, Martissant zone. Hydraulic simulation showing water level extent. Below, zoom in two urban zones
Haiti, Martissant zone. Hydraulic simulation showing water speed and photos of field flood level
RAIN SEASONDRY SEASON
Haiti, Grand Goave. GIS map of hydraulic simulation showing water level during dry and rain season
X [m]
Z [m]
X [m]
Z [m]
Haiti, Grand Goave. Cross-Section plot showing water level during dry and rain season
RAIN SEASON
XZ plot Cross-Section
DRY SEASON
XZ plot Cross-Section
Haiti, Grand Goave. 3D visualisation of water flood extent and river-network Cross-Sections
River cross sections. XY sections visualisation overlapped on WorldView satellite image
Hec-RAS 3D visualisation of river cross section
generated each 10 m river course distances
Sensor:
The non-intrusive nature (not submerged) of this
solution means that it continues to function during
extreme events such as flooding. Designed as a
hydrometric information service it is a "4 in 1" data
and measurement display system (height,
velocity, discharge) making it possible to:
 create and update a rating curve using a number of
discharge estimates calculated by the software
using the images;
 obtain two discharge calculations: the discharge
estimated by the current rating curve (Q)
systematically, as well as the discharge estimated
using the surface velocity measured (Qcalc) on an
ad hoc basis;
 detect changes in hydraulic behaviour (i.e. rating
curve shift)
Steep #2
2.1 Community Validation
Steep #3
3.2 Example of community decision making
Cleaning of wastewater canals
Soley Leve, quartier by quartier
change on the ground, in Cité
Soleil. Blocks organize to improve
their own neighborhood. This
map traces their progress,,,
Steep #3
3.2 Example of community decision making
Cleaning of wastewater canals.
International community took credit for
this work. Local community removed the
advertising board .
Steep #3
3.2 Example of community decision making Recycling plastic

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Potentiel3.0 hydro

  • 1. Steep #3 3.1 Reporting / Decision making with community and partners. 3.2 Examples Steep#1 (3 days) 1.1 Data Preparation J-3 1.2 UAV Flight 1.2 Mapping Party OSM Data collection (picture). Steep #2 (7 days) 2.1 Focus group 2.2 First Simulation (slope, Elevation model for Hydro) Keys Words: Focus group Validation Flood simulation Keys Words: Decising making Community partners Keys Words : Data preparation Mapping party Human-Centered approach in Urban area with OpenStreetMap
  • 2. Collection of spatial data: Admin, Road, settlement, analysis (damage assessment, flood, etc) . Satellite image / Drone image
  • 3. for FLOOD simulation Orthophoto Digital Surface Model UAV VALIDATION Water level Discharge measurement UAV orthophoto Land cover Cleansing DSM Existing Satellite: Orthophoto, Digital Terrain Model (DTM) GIS information: Locals, Open data platform (Open Street Map) Hydro meteorological information: Precipitation, discharge
  • 4. 1.1 Data Preparation Map your environment with local the community during a mapping party. OPEN DATA is available Yes Integrate them inside OpenStreetMap Database. No
  • 5. UAV mission. Utilization steps UAV flight plan
  • 6. 3D points from 2D Keypoint matches. 3D visualisation of River Digital Surface Model points cloud High: 54 Low: 18 Elevation: UAV Digital Surface Model (DSM)
  • 7. Haiti, 3D visualisation of Canaan's zone. 1 meters contour lines UAV Digital Surface Model (DSM)
  • 8. Port Au Prince, Orthomosaic of Canaan. Rectification and fusion of Red, Green, Blue and Near infra red spectral bands. False colour visualisation UAV Orthophoto
  • 9. High: 42 Low: 25 High: 54 Low: 18 Haiti, university of Limonade. Digital Terrain Model (DTM) 10 cm resolution Elevation: Elevation: UAV Digital Surface Model (DSM)
  • 10. Haiti, Port au Prince. Google satellite orthophoto; 40cm pixel size resolution UAV orthophoto; 4 cm pixel size resolution UAV Images
  • 11. Steep #2 2.1 Community Audit . - Need Assessment - Outcomes mapping - Focus group - Problem /Solution
  • 12. Steep #2 2.1 Participatory GIS . 2 - Participatory GIS in risk reduction (Cite Soleil) with OSM platform 2.1 – Discussion with Focus group Training 2.2 – Survey with walking paper and form 2.3 – Editing JOSM ✓ Participatory mapping makes possible to update geographic information and plan interventions together
  • 13. Steep #2 2.1 Survey Canal survey in Cite Soleil for risk reduction project .
  • 14. Steep #2 2.1 Survey Road assessment using OSM plateform (per section)
  • 15. Land Use Bridges Storage areas Lateral structures Stream network …. Manning’s coefficent CN, Curve Number …. Data cleansing Hydro metereological information Precipitations Discharge measurement …. Steep #2 2.1 Data flood for simulation
  • 17. 1st Simulation Problem! Too many information 1st Hydraulic simulation
  • 19. Haiti, Martisan’s basin. Land Cover Feature Classification Feature Segmentation Feature-based image analyse
  • 20. Haiti, Martissant zone. Hydraulic simulation showing water level extent. Below, zoom in two urban zones
  • 21. Haiti, Martissant zone. Hydraulic simulation showing water speed and photos of field flood level
  • 22. RAIN SEASONDRY SEASON Haiti, Grand Goave. GIS map of hydraulic simulation showing water level during dry and rain season X [m] Z [m] X [m] Z [m] Haiti, Grand Goave. Cross-Section plot showing water level during dry and rain season RAIN SEASON XZ plot Cross-Section DRY SEASON XZ plot Cross-Section
  • 23. Haiti, Grand Goave. 3D visualisation of water flood extent and river-network Cross-Sections River cross sections. XY sections visualisation overlapped on WorldView satellite image Hec-RAS 3D visualisation of river cross section generated each 10 m river course distances
  • 24. Sensor: The non-intrusive nature (not submerged) of this solution means that it continues to function during extreme events such as flooding. Designed as a hydrometric information service it is a "4 in 1" data and measurement display system (height, velocity, discharge) making it possible to:  create and update a rating curve using a number of discharge estimates calculated by the software using the images;  obtain two discharge calculations: the discharge estimated by the current rating curve (Q) systematically, as well as the discharge estimated using the surface velocity measured (Qcalc) on an ad hoc basis;  detect changes in hydraulic behaviour (i.e. rating curve shift)
  • 26. Steep #3 3.2 Example of community decision making Cleaning of wastewater canals Soley Leve, quartier by quartier change on the ground, in Cité Soleil. Blocks organize to improve their own neighborhood. This map traces their progress,,,
  • 27. Steep #3 3.2 Example of community decision making Cleaning of wastewater canals. International community took credit for this work. Local community removed the advertising board .
  • 28. Steep #3 3.2 Example of community decision making Recycling plastic