TOOLBOX

Unlock the potential of satellite imagery and AI

SpaceSense’s AI toolbox is accessed through a python library enabling data scientists and developers to create geospatial solutions using artificial intelligence faster without specific expertise. This increases time to market, increases productivity of existing teams and reduces manual repetitive tasks.

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the schematic of the toolbox's feature
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Features

Discover the
toolbox’s features

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Access numerous data sources ready to be used, without any need for remote sensing knowledge.

Satellite data

Get access to various types of satellite data including optical, radar, hyperspectral from a wide range of providers, pre-processed with your custom settings, and ready to be used.

Geospatial public datasets

Easily integrate a large catalogue of publicly available geospatial datasets like biodiversity datasets, land use classification maps, soil moisture sensors, weather & many more to speed up your analysis.

A representation on several geospatial data fusion

Merge multiple datasets into multidimensional data cubes in a few minutes through our features

Your own datasets

The main benefit of the SpaceSense library is the ability to very quickly input your own data and to combine it with other sources of geospatial data in a seamless and protected way. Our data input features will accept any type of geolocalized data.

Fusion

The fusion features allows you to combine information from multiple sources (our satellite ARD, our public geospatial datasets or your proprietary geospatial data) in a few minutes and very easily. You have access to a wide range of settings to control your AOIs, your period, your CRS and much more.

Harmonization

When combining satellite sources, you sometimes need to deal with different resolutions and/or projections. Our harmonization module will help you create coherence between them.

A representation of the different preparation steps

Accelerate your machine learning preparation process with our dedicated features for data preparation

Data quality assurance

To avoid losing countless hours of training with a faulty dataset, this feature contains several tools to identify outliers, missing values, classes and bounds overlaps and other such tools, ensuring your dataset’s quality.

Data augmentation

Labelled data in EO is hard to come by. This feature offers several ways to artificially increase the size of your labelled data using various AI & computer vision techniques by a factor 4x or more.

Data loaders for AI

Depending on the of ML/AI task that you need to perform, you’ll have to prepare the data in a specific way. Our data loaders will do that automatically for you, you just have to specify which task you want to do.

Feature engineering

This feature enables faster and efficient feature engineering to get the best ML prediction performance by encapsulating earth observation knowledge.

A globe with several datasets representing several thousands of gigabytes

This module supports the previous ones to make sure that they are running smoothly and provide you with the best experience possible

Cloud processing at scale

All of our features are run on SpaceSense’s cloud infrastructure to ensure the scalability and speed necessary to process any type of dataset sizes, from houses to continents.

Simple data access

When it comes to storage, the choice is yours. We offer the possibility to store the results of your work on our cloud infrastructure, but you can also decide to download it locally, or to pull it into your own cloud, for further processing.

Production ready

We designed our service to be at a level of quality allowing you to use our tools in a production environment, with the associated speed and SLAs.

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Integration

How SpaceSense integrates
with you

a schematic of how the toolbox integrates with the customer's environment

Interested in SpaceSense

You want to test SpaceSense out?
Please reach out to us so we can show you how!

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