1. “Management of dynamic navigational channels using video techniques” by (UCa, UPl and SPA)

2. “Management of dynamic navigational channels using video techniques” 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remarks

3. “Management of dynamic navigational channels using video techniques” 1.Introduction 2.El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion 3.Teignmouth (Small Port Example) 4.Concluding Remark

4. Goal: Navigation channel management Management needs (e.g To maintain a navigation channel) 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remark

5. 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remark Large ports Small ports

6. 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remark

7. 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remark

8. Dredging Dumping 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion

9. 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion 1. Southern limit to dredge2. Three control profiles 3. Shoreward limit to estimate how much it should be dredge OBJETIVES OF THE AUTOMATIC TOOL: 1. To estimate when one of the profiles reaches the threshold south limit 2. How much sand has to be dredged SubTidal Profile InterTidal Profile FIX SLOPE AND SHAPE CAMERAS

10. Input Good Image? Save pixel line Build a real Profile of the day if end day Save Profile Show Profile Stack NO Time step Show Profile Evolution Algorithms to extract pixel line and estimate the shoreline position Initial date and final date (date_ini, date_fin) Gap of date (gap) Profile coordinates (x1,y1) (x2,y2) Number of points (n) 1. Finds the names and path of Argus images into DB based on the data in the struct "info“ 2. Gets time series of tidal levels from epochDate1 to epochDate2 with delta of "gap“ 3. Makes an XYZ with the points of the profile Pre-Processing Images at date_n SI Next Image U,V -> I (Intensity) Shoreline position (X,Y) Tide Level and date_n (X,Y,Z) Coordinates Date of the day 4. Gets the database information relevant to the image [geometry,station, site, ip, camera, gcps, usedGCPs] 5. Converts the XYZ coordinates to UV on the image 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion

11. Shoreline Detection Model SDM (Aarninkhof, 2003) Pattern Recognition Model PRM (Osorio et al) Hough Model HM (Osorio et al) 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion Distance to shoreline (pix)

12. Profile distance (m) Vertical elevation (m) All pixel lines of the day Profile 1 Profile 2 Profile 3 Profile 4 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion

13. Shoreline evolution for profile 4 at High Tide 2. El Puntal (Large Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion

14. 1.Introduction 2.El Puntal (Large Port Example) 3.Teignmouth (Small Port Example) 4.Concluding Remark 2. Teignmouth(Small Port Example) Site descriptionSite description Video solution to problemsVideo solution to problems ResultsResults DiscussionDiscussion