Search Planning (MSO)¶
Planning point¶
Any point marked in Karttahimmeli can be turned into an MSO planning point (Managing Search Operations) by setting importance to Very significant and selecting MSO start point from the importance menu.
Typical MSO point:
- Missing person's point last seen or last confirmed observation point
- Found item that indicates movement of the missing person
Planning points can also be used in parallel. For example, if missing car is found farther away, two parallel scenarios can be created.
Search probability rings¶
How to interpret profiles
Profiles are based on statistics from earlier search operations. They show at what distance from point last seen people with similar profile have been found by percentage.
Example: 50% means half of similar cases were found within 400 meters.
A profile can be selected for planning point, for example Autistic child, Dementia, Young adult, or similar. The profile draws probability rings on map to show where the missing person is most likely to be.
Profiles provide a directional search area, not an absolute answer. In real operations, conditions, local knowledge, and new observations can shift focus.
Close search: 300 meter circle¶
28 hectares is the area of a 300 meter radius circle. Close search should not be underestimated:
- Area can keep three dog teams occupied for hours
- Most findings in all profiles happen at short distance
- Close search should be done first before expanding
Close search is critical
A common mistake is to expand immediately because people think close area is "already checked". 28 hectares is large. Thorough coverage needs several patrols and several hours.
Sectoring¶

Close search area should be split into sectors and each patrol gets its own sector. This gives:
- Area can be covered in 30-45 minutes with multiple patrols
- Command gets time to organize during sectoring
- Results accumulate clearly on map
Sector naming follows same rules as other areas. See naming conventions.
Shifting focus¶
If new information appears during search (item, observation, or tip call), focus shift may be considered. Before shifting:
- Evaluate how reliable new info is (fact or suspicion)
- Do not discard existing plan based on first tip
- Consider opening parallel scenario with separate MSO point
Confirmation bias in search
Humans naturally seek data that confirms existing assumptions. Karttahimmeli helps keep location data factual. Do not interpret map as "target is probably there". Keep open view on data.
Expanding area size¶
When search radius is doubled, area quadruples:
| Radius | Area | Required resources (relative) |
|---|---|---|
| 300 m | ~28 ha | 1x |
| 600 m | ~113 ha | 4x |
| 1200 m | ~450 ha | 16x |
For this reason: close search first. At start, resources should be focused to most probable area.
MSO info in area names¶
Search method does not need to be in area name. Put it in extra info instead. Method in name makes names long and harder to search.