3.4 Location classes

From the beginning of Argos service, locations have been classified according to the following criteria:  

 

Regardless of the number of messages received during a satellite pass, an estimated error is calculated. For classification purposes, the error is assumed to be isotropic and hence characterized by a single number called the radius of error.  It corresponds to one standard deviation (sigma) of the estimated location error. The location class is attributed based on the radius of error.  The location class and associated error is sufficient for many applications.

Still, the location error is not strictly isotropic and hence is better approximated by an ellipse than by a circle. Users wishing to use an improved description of the location error, for example to assimilate positions into an animal movement model, will now have access to this information (see Chapter 3.4.4). Note however, that the classical error description based on location class and radius of error will remain available to all users.

 

Class

Type

Estimated error*

Number of messages received per satellite pass

Least Squares

Kalman Filter

Least Squares

Kalman Filter

G

GPS

< 100m

1 message or more

3

Argos

< 250m

4 messages or more

2

Argos

250m <  < 500m

4 messages or more

1

Argos

500m <  < 1500m

4 messages or more

0*

Argos

> 1500m

4 messages or more

A

Argos

No accuracy estimation

Unbounded accuracy estimation

3 messages

B

Argos

No accuracy estimation

Unbounded accuracy estimation

 messages

1 or 2 messages

Z

Argos

Invalid location (available only for Service Plus/Auxiliary Location Processing)

 

 

* Class 0 locations are available by request only.