Pixxel
Documentation
Developer Guide
Pixxel API
Overview
About PixxelPixxel's ConstellationPixxel's Tech Demonstrators

Getting Started
AuroraQuick Start

Tasking
Tasking Basics

Available BandsetsCustom Bandsets
Ordering and Cart
Archive OrderingWorking with CartOrder Listing, Status and Details
Catalog and Delivery
My CatalogExport ImageryNaming Convention
Explore Images & Create AOIs
ExploreSearch Location and Draw/Upload AOISearch and Select ImagesSatellite DataAOI Info and Scenes
Analytics Tools

Spectral SignatureSplit Compare
Analytical Models
Insights in Aurora (AOI Screen)Model Marketplace

Workflows
Workflow and Jobs
Aurora Intelligence
OverviewImage Search
Legal Documents
Third Party Satellite Provider Documents
Pixxel
Documentation
Developer Guide
Pixxel API
Overview
About PixxelPixxel's ConstellationPixxel's Tech Demonstrators

Getting Started
AuroraQuick Start

Tasking
Tasking Basics

Available BandsetsCustom Bandsets
Ordering and Cart
Archive OrderingWorking with CartOrder Listing, Status and Details
Catalog and Delivery
My CatalogExport ImageryNaming Convention
Explore Images & Create AOIs
ExploreSearch Location and Draw/Upload AOISearch and Select ImagesSatellite DataAOI Info and Scenes
Analytics Tools

Spectral SignatureSplit Compare
Analytical Models
Insights in Aurora (AOI Screen)Model Marketplace

Workflows
Workflow and Jobs
Aurora Intelligence
OverviewImage Search
Legal Documents
Third Party Satellite Provider Documents
  1. Aurora Intelligence
  2. Image Search

Image Search

Aurora Intelligence revolutionizes satellite image search by enabling users to locate relevant imagery effortlessly across a wide range of sensors. By leveraging natural language commands, users can define an Area of Interest (AOI), refine search parameters, and retrieve the most suitable satellite images—all without the complexity of manual filtering.

How It Works

  • Define Area of Interest (AOI) – Specify a location using a place name, coordinates, or specific addresses.

  • Set Search Filters – Apply filters such as date range, satellite choice, cloud cover, spatial resolution, and off-nadir angle.

  • Select Results – Choose from a curated list of images that match the search criteria for precise geospatial analysis.

Examples:

  • Show pictures of farms in Laton, California : Location only
  • Show pictures of farms in Laton, California with cloud cover less than 30% : Location with additional information about cloud cover
  • Show pictures of farms in Laton, California around Christmas with cloud cover less than 30%: Location with additional information about cloud cover and time

Required parameters:

The user needs to specify the location in the prompt to make aurora intelligence give an output as it is a mandatory parameter. The user can also specify some additional parameters such as:

  • Time: The time parameter can be specified by the user in various forms, including exact dates, time frames, events, festivals, or tragedies.
  • Satellite: If the user needs images from a particular satellite, then they can specify the satellite name and the co-pilot will return images taken by that satellite
  • Cloud Cover: The user can also specify the cloud cover that should be present in the images. They can use words like “clear”, “cloud free”, “no cloud” and many more variations of these words.

OverviewThird Party Satellite Provider Documents
On this page
How It Works