Cecil

USDA Cropland Data Layer 30 m dataset is now available through Cecil. The United States Department of Agriculture (USDA) Cropland Data Layer dataset classifies the contiguous U.S. into 135 agricultural and non-agricultural land cover classes. With annual coverage from 2008 onwards and 30 m spatial resolution, this dataset supports use cases across precision agriculture, insurance analytics, and crop monitoring analyses from local to national scales. Thanks to the entire Cecil team for bringing this dataset to the platform – Brian, Connor, João, Johan, Rafael, Nicole, Sabine, Sonny, Tom, and Wagner C., and thanks to Sabine for the visualisation! Also, thanks for the collaboration Austin and Dominic. More coming on this soon! 👀 The images below use the 30 m USDA Cropland Data Layer to show shifting trends in crop production in California’s central valley over the past decade.

The U.S. Geological Survey (USGS) Annual National Land Cover Database is now available on Cecil. This dataset is a US-specific land cover dataset delivered at 30 m spatial resolution and annual temporal resolution, with 16 land cover classes and a long temporal coverage back to 1985. Regional land cover datasets often outperform global land cover datasets for local and regional analysis, so we've been excited to move in this direction for a while. The image in this post shows USGS Annual National Land Cover Database visualising a significant landscape shift over the past forty years: Falling water levels of the Great Salt Lake next to Salt Lake City, Utah. Thanks to the Cecil team for bringing this dataset onto the platform: Brian, Connor, João, Johan, Rafael, Nicole, Sabine, Sonny, Tom, and Wagner. Get started with a Cecil account today with the link in the comments.

Announcing another dataset launch for this week! The European Commission Joint Research Council (JRC) Global Forest Type dataset is now available with open access on the Cecil platform. This dataset is a complement to the JRC Global Forest Cover dataset already on Cecil. The two datasets are designed to support risk assessments (i.e. initial forest cover and degradation state) for EU Regulations on deforestation-free supply chains (EUDR). The Global Forest Type dataset is delivered at 10 m spatial resolution and classifies forest type for the year 2020. It classifies forest type based on the EUDR definition: primary forest, naturally regenerating forest, planted forest, and plantation forest. Thank you to the Cecil science and engineering teams for bringing the Global Forest Type dataset onto the Cecil platform!  To access the JRC Global Forest Type dataset: https://lnkd.in/ggC9bYna

Announcing the USDA Cropland Data Layer 30 m dataset – now available through Cecil. The United States Department of Agriculture (USDA) Cropland Data Layer dataset classifies the contiguous U.S. into 135 agricultural and non-agricultural land cover classes. With annual coverage from 2008 onwards and 30 m spatial resolution, this dataset supports use cases across precision agriculture, insurance analytics, and crop monitoring analyses from local to national scales. This is the second regional dataset Cecil is launching this week, alongside the U.S. Geological Survey (USGS) Annual National Land Cover Database. Thanks to the entire Cecil team for bringing this dataset to the platform – Alex, Brian, Connor, João, Johan, Rafael, Rita, Sabine, Sonny, Tom, and Wagner, and thanks to Sabine Nix for the visualisation! The images below use the 30 m USDA Cropland Data Layer to show shifting trends in crop production in California’s central valley over the past decade.

Visualising IBAT data in Felt with Cecil's integration In the notebook below, Alex Logan goes through the steps to request Integrated Biodiversity Assessment Tool (IBAT)’s Key Biodiversity Areas and World Database of Protected Areas datasets from Cecil, and mapping this IBAT data for supply chain locations using Felt: - Create your Areas of Interest, adding buffers around point locations - Make data requests from IBAT datasets for these AOIs using Cecil’s SDK  - Visualise AOIs alongside IBAT data in Felt maps Cecil’s integration with Felt enables you to go from a csv of point locations to an interactive map in just a few minutes. Over the next few weeks, we’ll be sharing a series of posts about Felt’s analysis features, building towards an asset level analysis that combines three datasets, all available on the Cecil platform. It’s been a pleasure working with the Felt team on this!

The U.S. Geological Survey (USGS) Annual National Land Cover Database is now available on the Cecil platform. This dataset is a US-specific land cover dataset delivered at 30 m spatial resolution and annual temporal resolution, with 16 land cover classes and a long temporal coverage back to 1985. Regional land cover datasets often outperform global land cover datasets for local and regional analysis, so we've been excited to move in this direction for a while. The images below use the USGS Annual National Land Cover Database to visualise two significant landscape shifts over the past forty years: - Falling water levels of the Great Salt Lake next to Salt Lake City, Utah - Rapid urban expansion in Phoenix, Arizona Get started with Cecil today or learn more about this dataset using the links in the comments below.

Sylvera’s Biomass Atlas, new to the public and now available on the Cecil platform. The Biomass Atlas quantifies forest aboveground biomass density (Mg/ha) and canopy height globally at 30 m spatial resolution and annual temporal resolution from 2000 onwards. Grounded in large volumes (> 450 billion hectares per biome) of dedicated multi-scale LiDAR measurements, the Biomass Atlas is designed to provide a robust evidence base for carbon project baselining, development, and monitoring. Cecil now provides access to the Biomass Atlas dataset alongside an expanding range of open and commercial datasets. Cecil makes these datasets consistent, joinable, and ready for analysis - streamlining the end-to-end process to acquire and analyse datasets from leading providers with one contract, one integration, and no minimum usage requirements. Visit our documentation to learn more and get started with a Cecil account: https://docs.cecil.earth/

I am excited to announce that Cecil is partnering with Sylvera. Sylvera's Biomass Atlas is now available through Cecil. It has been a pleasure to collaborate with Allister, Nina, Thomas, Andrew, Daniel, Freddie, Henry, Pedro, Youtse, and others from Sylvera. Very grateful for the support from the Cecil team to get this live - Brian, Connor, João, Johan, Rafael, Sabine, Sarita, Sonny, Tom, and Wagner. Please read the full article and get started exploring this dataset on the Cecil platform today. You can also view sample data via the Earthscale link in the comments. We are excited to be working with the Earthscale team to support our customers with visualisation and mapping. Thanks for the collaboration Felix, Noah, Bernhard, and the Earthscale team. Finally, this was our first integration with Earthmover's Arraylake (Ryan and Joe). Get in touch if you're interested in getting access to Biomass Atlas today.

We’re excited to announce that Cecil is partnering with Sylvera to bring their Biomass Atlas dataset to the Cecil platform. The Biomass Atlas quantifies forest aboveground biomass density (Mg/ha) and canopy height globally at 30 m spatial resolution and annual temporal resolution from 2000 onwards. In this article, we introduce the Biomass Atlas dataset and describe how organisations are using it to stock-take and monitor plant biomass across sites and portfolios. The article also outlines how to access the dataset through Cecil. Visit our documentation to learn more about the Sylvera Biomass Atlas dataset, and get started by signing up for a Cecil account (links below in the comments).

Cecil hosts all three of the Integrated Biodiversity Assessment Tool (IBAT) Alliance’s core global datasets: - IUCN Red List of Threatened Species - nominal ranges and conservation statuses of over 160,000 species - World Database of Key Biodiversity Areas - areas of known biodiversity importance across the globe - World Database on Protected Areas - locations and details of over 300,000 marine and terrestrial protected areas Organisations use these datasets every day to identify where operations overlap with nature - supporting assessments of exposure to nature risk and compliance with regulatory frameworks, such as CSRD and TNFD. Cecil provides seamless access to these and other datasets through the Cecil Python SDK, powering analysis across entire site portfolios and global supply chains. These datasets are supported by IBAT’s collaboration with the International Union For Conservation Of Nature (IUCN), BirdLife International, Conservation International, and the UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC). To learn more, explore Cecil documentation or get started with IBAT datasets today: https://lnkd.in/ggC9bYna