🌍 Community Catalog Summer Refresh: Land Cover, Forest Flux, and Field Boundaries Updates

This week dive with me on some feature updates to our datasets including the ESRI Global Land cover datasets,Global Forest Carbon Flux & Crop sequence boundaries to include 2023 datasets

Data commons and catalogs represent more than just our collective history; they embody our commitment to continuously enriching the data we value. Consistent updates are essential for maintaining the relevance and accuracy of our resources. 🔄📅 This week, I am excited to announce three significant updates to the Awesome GEE Community Catalog, showcasing the drive towards data continuity and staying current with provider updates. 🎉🗂️

The 2023 additions include the ESRI Global Landcover dataset from Impact Observatory, the Global Forest Carbon Fluxes (2001-2023) from Global Forest Watch, and the USDA Crop Sequence Boundaries (2016-2023) dataset from USDA. 🌍🌳🌾 These timely updates ensure that the community has access to the most recent and reliable data. 📈✅.

Over the next weeks or so the Global Landcover dataset will get a deep dive discussion on what’s new and what has changed with time.

ESRI 10m Annual Land Cover (2017-2023)

ESRI time series of annual global maps of land cover (LULC) created by Impact Observatory was updated to v3 with global 10m land cover from 2017-2023. The maps are derived from ESA Sentinel-2 imagery at 10m resolution. Each map is a composite of land cover predictions for 9 classes throughout the year in order to generate a representative snapshot of each year. You can read more about the land cover accuracy assessment in paper review conducted with v1 of the dataset.

The process includes backprocessing all years to maintain consistency in the methodology used for processing these datasets. Stay tuned for a deep dive on this specific datasets to understand key differences and some additional information about the updates including a simple app to explore the time series.

Global Forest Carbon Fluxes (2001-2023)

A recent update to the collections (including data for 2023) allows you to explore global forest carbon fluxes between 2001 and 2023. This forest carbon flux model separates net flux (the balance between emissions and removals), removals (amount of carbon sequestered by forests), and emissions (released due to disturbances) - all on a pixel-by-pixel basis.

The data follows IPCC guidelines and offers insights into how much carbon forests store or release over time.

You can find this information on Global Forest Watch. Additional Updates on what’s new are available in the blog and the dataset page in the community catalog.

USDA Crop Sequence Boundaries (2016-2023)

The USDA Crop Sequence Boundaries (CSB) dataset provides information on field boundaries, crop acreage, and crop rotations across the contiguous United States. This data is derived from satellite imagery and other public sources, offering valuable insights into farmer cropping decisions. It's useful for applications like studying agricultural trends or predicting crop types and allows for analyzing time series differences in crop plantation.

There's a recent update to the CSB. Originally covering the 2015-2022 growing seasons, the data has been extended to include the 2023 season. This update also incorporates methodological improvements applied to all past CSB data. You can access the data on the CSB website or through Google Earth Engine.

These updates are just a glimpse into the dynamic world of the Awesome GEE Community Catalog. We're committed to constantly evolving and providing you with the most current and relevant geospatial data available. Be sure to explore these new additions, dive into the detailed deep dives coming soon.

Let's connect! Reach out on Linkedin and Github to share dataset ideas, provide feedback, and join the conversation.

If you found our work valuable, consider giving the GitHub repository a star ⭐️ Your support increases visibility and spreads awareness about the community catalog.

Don't forget to check the changelog for direct links and more updates. 💡 Much more to come stay tuned.