- Navigation track is plausible: Continue with the next processing step (shift).
- Still a lot of outliers in the grid: Maybe adjusting 25% overlaps will solve that.
**Further navigation adjustment**
- File > Open > Choose project and project file.
- View > >25% overlap > Double click on one file of the list > opens NavErr window.
- Adjust contour lines manually > Add Tie > Next ... and repeat. Dismiss.
- Action > Invert.
- Action > Apply Adjusted Navigation.
- File > Quit.
%% Cell type:code id: tags:
``` python
%cd$rootpath
# Reload project and add ties at 25% overlap.
!mbnavadjust
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
!mbprocess-I$datalistp-V
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
# Creating Ascii grid with the adjusted navigation based on the 25% overlap
!mbgrid-I$datalistpp-A2-G4-E3/0.0!-O$grd3
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
# set names for second navadjust plot
navadjustPlot2=navadjustProjectName+"2"
navadjustPlot2exec=navadjustPlot2+".cmd"
# Check navigation track
!mbm_plot-I$datalistpp-N-O$navadjustPlot2
!./$navadjustPlot2exec
```
%% Cell type:markdown id: tags:
**Result**
Number of set ties after analyzing >50% overlap crossings: *(enter number here)*
Number of set ties after analyzing >25% overlap crossings: *(enter number here)*
Enter narrative on obstacles and how they were overcome etc. here.
%% Cell type:markdown id: tags:
-----
## Shift renavigated data
*Operator: (enter name here)*
20yy-mm-dd
Horizontal shift of the data provides absolute spatial constrains, as it is applied relative to known, spatially referenced features, e.g. from ship-based bathymetry or seafloor video dives. With this, it facilitates the merging of multi-survey mapping campaigns. Shift only, when the accuracy of the spatial reference exceeds that of the initial AUV navigation (LBL network, if used).
**Determine the horizontal shift in a GIS project**
Shift grid (datalistpp) to match georeferenced data and enter distance and bearing below.
%% Cell type:code id: tags:
``` python
# enter bearing and distance of shift according to shift of ascii-grid in Global Mapper
dist=40# distance in m
bear=260# bearing in degree
importnumpyasnp
x_shift=np.sin(np.radians(bear))*dist
y_shift=np.cos(np.radians(bear))*dist
print (x_shift)
print (y_shift)
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
# set offset in parameter file of navadjusted data