Ursa Analytic GeoJSON Product Formats Documentation

Ursa Space's analytics have a standardized GeoJSON format by default.

 

Ursa Analytic GeoJSON Product Formats 

Ursa analytic products that contain vector data will use a GeoJSON file format by default. Some details of the products will vary between product types, but some information that is commonly used across products will be contained in fields with standard names and formatting. This page  describes this standardized Ursa Analytic GeoJSON product format. 

  1. FeatureCollection
  2. Product
  3. Processor
  4. SensorData
  5. Feature

FeatureCollection 

Ursa Analytic GeoJSON products will consist of a GeoJSON file that describes a FeatureCollection. According to the GeoJSON specification, the FeatureCollection object has two required members: type, which is always set to ‘FeatureCollection’; and features, which is a list of Feature objects (whose length can be zero). In addition to these required members, the Ursa Analytic GeoJSON product will contain additional members, referred to in the GeoJSON specification as “foreign members.” These additional members contained in the FeatureCollection object are product, processor, and sensorData. 

The top-level FeatureCollection object is summarized in the table below. 

Member Name 

Type 

Description

type 

string 

Always equal to ‘FeatureCollection’

features 

list 

A list of Feature objects. The list can have a length  of 0.

product 

object 

A description of the product being provided in this  file. See the Product description in its section on  this page.

processors 

list 

A list of the processing components used to generate the results in this file. See the Processor description in its section on this page.

sensorData 

list 

A list of the source sensor data that was processed  to generate the results in this file. Members of this  list are SensorData objects. See the SensorData description in its section on this page.


Product 

A summary of the Product object and its members is provided in the table below. 

Member Name 

Type 

Description

productType 

string 

Name of the Ursa product type contained in this file,  e.g., “Change Detection”, “Vessel Detection”.

documentVersion 

string 

Version of the product contained in this file.


Processor 

For workflows or analytics that that are run on Patricia, the processors member of the FeatureCollection should be a list with: 

  • a single member representing the Patricia workflow. 
  • one or more members representing each of the analytics that comprise the Patricia workflow. 
  • For products that are generated by non-Patricia processing, the users may use their discretion to compile a list of the modular components that  were used to generate the product (e.g., CFAR, detection clustering, false alarm filter, etc., in the case of vessel detection). 

A summary of the Processor object and its members is provided in the table below.


Member Name 

Type 

Description

processorName 

string 

Name of the processor. 

For workflows or analytics that that are run on  Patricia, this should be a unique identifier for that  processor. 

For products that are generated by non-Patricia  processing, these may be the names of modular  components of a script used to generate the product.

version 

string 

Version of the processing component. 

For workflows or analytics that that are run on  Patricia, this should be a the workflow/analytic  version. 

For products that are generated by non-Patricia  processing, this should be the version of the  package from which these components were  imported.

parameters 

object 

Dictionary of processor parameters used to create  the product. 

For workflows or analytics that that are run on  Patricia, the members of this object should be  members of the user_data object that is associated  with the workflow/analytic. 

For products that are generated by non-Patricia  processing, this should be any relevant keyword  arguments used in this processing component.


SensorData 

A summary of the SensorData object and its members is provided in the table below.

Member Name 

Type 

Description

sensorDataIndex 

number 

A unique index into the sensor data list to which  detections and measurements can be traced.

sensorName 

string 

Sensor name, which should be a member of a list of  acceptable values to avoid inconsistent naming, e.g.,: 

  • ICEYE-X1 
  • ICEYE-X2 
  • CSK-1 
  • TSX 
  • TDX 
  • Capella-1 
  • KMP-5 
  • Sentinel-1A 
  • Sentinel-1B

sensorType 

string 

Sensor type, which may be one of: 

  • SAR 
  • EO 
  • RF

sensorMode 

string 

Sensor mode, e.g.,: 

  • Stripmap 
  • Spotlight 
  • Scan

productType 

string 

Product type, e.g.,: 

  • SLC 
  • GRD 
  • GEC 
  • GTC

ursaId 

string 

Ursa internal PSDM assigned ID.

vendorId 

string 

Vendor specific product name, e.g. 

ICEYE_X4_SLC_SLH_26732_20200409T221209 S1B_IW_GRDH_1SDV_20211120T035045_202 11120T035110_029666_038A61_E865 

K5_20210408151505_000010_41890_D_ES19_ HH_SCS_B_L1A

startTimeUTC 

string 

Collection start time, described in ISO 8601 format  using the following format: 

YYYY-MM-DDThh:mm:ss.sss 

e.g. ‘2021-04-08T15:15:05.089’

geometryReference 

string 

WKT representing the geodetic coordinates of the  location where the azimuth and incidence angles are  specified.

azimuthAngle 

number 

Angle from scene to sensor in degrees, clockwise  relative to true North, defined at scene center.

incidenceAngle 

number 

Local incidence angle in degrees, defined at scene  center.

polarization 

string 

For SAR data, this is a two-character string indicating  send and receive polarization. For RF data, this may  be a single character indicating the receive  polarization.

footprint 

string 

WKT describing the perimeter of the collection  footprint, in WGS-84 coordinates


Feature 

Feature objects and its fields is provided in the table below.

Member Name 

Type 

Description

type 

string 

Always equal to ‘Feature’.

geometry 

string 

May be any of the GeoJSON geometry types ('Point',  ‘LineString’, ‘MultiPoint’, ‘Polygon’, ‘MultiLineString’,  ‘MultiPolygon'). The most commonly used types in  Ursa analytic products are likely to be ‘Point’,  'Polygon', and 'MultiPolygon’.

properties 

object 

Contents of this section will be product-specific (e.g.,  NCD products will include change type; vessel  detection products will include vessel size and  orientation).