Spatial data,
ready for analysis

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

cecil — spatial analysis

30+ datasets.
One agreement.

Browse our marketplace with 30+ commercial and open datasets under a standardized agreement.

Plant Biomass

Aboveground biomass stock and change at 10–30 m resolution — annual global coverage from 2000.

Chloris · Sylvera · Planet · UMD

Threatened Species

IUCN Red List, Key Biodiversity Areas, and the World Database of Protected Areas — for biodiversity planning and TNFD disclosures.

IBAT · IUCN · WDPA

Biodiversity Integrity

Biodiversity Intactness Index and Forest Landscape Integrity at 300 m–10 km - aligned with SBTN targets.

NHM · WCS

Land Use & Cover

Global and US LULC in 9–17 class schemas at 3–30 m. Impact Observatory, JRC forest layers, USGS NLCD, and SBTN Natural Lands across multiple epochs.

Impact Observatory · JRC · WRI · USGS

Soil Moisture

Surface soil moisture at 20 m–1 km sub-monthly, plus Planet Soil Water Content — essential for drought monitoring and agricultural risk assessment.

Lobelia Earth · Planet

Asset Locations

Global Major Mines and industrial asset footprints for supply chain due diligence, TNFD reporting, and spatial risk screening.

PlanetSapling

From discovery
to analysis in minutes

Develop secure, resilient, and highly scalable workflows with the Cecil SDK.

  • CLI, Python, and agentic interfaces Streamline the process to acquire and analyse datasets from industry-leading data providers.
  • Mapping & visualisation integrations Compatible with QGIS, Leaflet, Kepler.gl, and any visualisation tools.
cecil_demo.ipynb ×
Python 3.11
[1]
12345 678910
import cecil

client = cecil.Client()
# Subscribe to a dataset
sub = client.create_subscription(
  aoi_id=my_aoi_id,
  dataset_id="87251e55-8685-4a45-bf3a-52bfa3829b44"
)
# Load directly as xarray Dataset
ds = client.load_xarray(sub.id)
[1]
<xarray.Dataset>
Dimensions: (time: 24, y: 4096, x: 4096)
Variables:
* time (time) datetime64[ns] 2023-01 ... 2023-12
* agb (time, y, x) float32 dask.array
Attributes:
dataset_id: 87251e55-8685-4a45-bf3a-52bfa3829b44
crs: EPSG:4326

Built for how data teams actually work

Cecil provides compatibility and seamless integration with your existing tools and workflows.

01

Curated by scientists

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

02

Unified data marketplace

Browse 30+ commercial and open datasets under a single standardised agreement. No minimums, no per-provider negotiations.

03

Works with your stack

Compatible with CLI, Python SDK, agentic interfaces, QGIS, Leaflet, and any geospatial tools.

Get your API key
and start building

Develop secure, resilient, and highly scalable workflows with the Cecil SDK.

Get API key →

Need a guided
onboarding?

Talk to us about custom datasets, volume-based pricing, or integration services for your team.

Contact sales →