Retrieve Service Results Sample Clauses

Retrieve Service Results. Login into SSE (if not already logged in). When logged in: • Select the Order List in the top menu bar • Verify dynamically the status of all orders • Retrieve the results by clicking on the Order Identifier link

Retrieve Service Results. Login into SSE (if not already logged in). When logged in: • Select the Order List in the top menu bar • Verify dynamically the status of all orders • Retrieve the results by clicking on the Order Identifier link 6 Annex 1 – Processing model and Data Flow: SOIL MAPPER® classification modes Three lists of spectral categories computed by SOIL MAPPER® are provided below; the user can decide to obtain as output of the “Spectral pre-classification of user image service“ the complete set of classes (see Table 1), an intermediate set of classes (see Table 2), or a Xxxxxx land Cover – Like classification map (see Table 3) that features a level of classification compliant with the CLC classification scheme.

Retrieve Service Results. Login into SSE (if not already logged in). When logged in: • Select the Order List in the top menu bar • Verify dynamically the status of all orders • Retrieve the results by clicking on the Order Identifier link 6 Annex 1 – Processing model and Data Flow: QuickBird Three lists of spectral categories computed by SOIL MAPPER® are provided below. • Table 1 List of fourth-six kernel spectral categories including leaves of the decision tree (identified by extension _LSC) which make up the so-called large set of output spectral categories. • Table 2 shows an aggregation of the fourty-six leaves (endmembers) of the decision tree described in Table 1 into twenty-five spectral categories. In particular, the set of twenty-five spectral categories is generated by grouping leaves of the decision tree up to their mother category, if any. These twenty-five spectral categories make up the so called “Intermediate set of Classes” which is represented in an output map featuring a semantic resolution intermediate between the fine and the coarse one. • Table 3 shows an aggregation of the twenty-five spectral categories described in Table 2 into eleven spectral categories. In particular, spectral categories belonging to the “Intermediate set of Classes” are grouped based on their semantic meaning. The eleven categories generated by fusion make up the so called “Small set of Classes” which is represented in an output map featuring a coarse semantic resolution.