Spatial data, ready for analysis

Cecil makes spatial datasets consistent, accessible, and ready for analysis.

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Spatial datasets

Browse scientifically curated datasets for your area of interest. Refine your search by spatial and temporal attributes across commercial and open datasets.

Datasets

Interoperability

Streamline the process to acquire and analyse datasets from industry-leading data providers with one contract, one integration, and no minimum usage requirements.

Documentation

Enterprise scale

Develop secure, resilient, and highly scalable workflows with the Cecil SDK. Leverage efficient spatial technologies to analyse multi-dimensional datasets.

Cecil SDK

import cecil
import matplotlib.pyplot as plt

client = cecil.Client()

ds = client.load_xarray('f644efb3-8ba4-4bc4-8333-1ace54a3f111')

# Pixel values above 0 indicate forest loss years.
forest_loss = ds['loss_year'].where(ds['loss_year'] > 0)

# Convert values from 1-24 to 2001-2024.
forest_loss_years = forest_loss + 2000

forest_loss_years.plot(cmap='plasma').colorbar.set_ticks(
    [2001, 2005, 2010, 2015, 2020, 2024]
)

plt.gca().set_title('Hansen Global Forest Change - Chaco Region')
plt.gca().set_aspect('equal')
plt.gca().set_facecolor('#101010')

plt.show()

Get started in a few steps

Supercharge your productivity to acquire and analyse spatial datasets.

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A scientific approach to data

Cecil draws on foundational scientific principles to identify and describe data in an objective, transparent, and rigorous way.

We have developed a repeatable and scalable operating model with the research community to curate datasets and deliver the academic gold standard for spatial data.

We collaborate with a network of industry experts to consolidate dataset protocols, methods, and specifications into clear and comprehensive documentation.

Science at Cecil

Unlocking efficient analysis

We leverage spatial technologies such as Xarray, Zarr, and GeoParquet that enable efficient analysis at enterprise scale. Whether you're working with dense time-series, performing complex spatial operations, or joining multiple datasets, we combine cloud infrastructure and spatial data expertise in processing billions of hectares for global organisations.

Cecil provides compatibility and seamless integration with your existing tools and workflows. Our loosely coupled design allows you to use your preferred libraries, visualisation platforms, and incorporate datasets into general-purpose data pipelines, maximising the value of your spatial data.

Documentation

Transparent roadmap

We provide a single point of integration to an extensive and growing list of datasets from industry-leading data providers.