Update README.md

Author: robmarkcole

README.md

@@ -101,6 +101,9 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
 * [TreeSatAI](https://zenodo.org/records/6780578) -> Sentinel-1, Sentinel-2
 * [Sentinel-2 dataset for ship detection and characterization](https://zenodo.org/records/10418786) -> RGB
 * [S2-SHIPS](https://github.com/alina2204/contrastive_SSL_ship_detection) -> all 12 channels
+* [ChatEarthNet](https://github.com/zhu-xlab/ChatEarthNet) -> A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models, utilizes Sentinel-2 data with captions generated by ChatGPT
+* [UKFields](https://github.com/Spiruel/UKFields) -> over 2.3 million automatically delineated field boundaries spanning England, Wales, Scotland, and Northern Ireland
+
 
 ## Landsat
 Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat_program)
@@ -377,6 +380,10 @@ RF100 is compiled from 100 real world datasets that straddle a range of domains.
 * https://zenodo.org/records/6514159 -> a dataset for the training of Sentinel-2 super-resolution algorithms
 * [sen2venus-pytorch-dataset](https://github.com/piclem/sen2venus-pytorch-dataset) -> torch dataloader and other utilities
 
+## EarthView from Satellogic
+* https://huggingface.co/datasets/satellogic/EarthView
+* Dataset for foundational models, with Sentinel 1 & 2 and 1m RGB
+
 ## Microsoft datasets
 * [US Building Footprints](https://github.com/Microsoft/USBuildingFootprints) -> building footprints in all 50 US states, GeoJSON format, generated using semantic segmentation. Also [Australia](https://github.com/microsoft/AustraliaBuildingFootprints), [Canadian](https://github.com/Microsoft/CanadianBuildingFootprints), [Uganda-Tanzania](https://github.com/microsoft/Uganda-Tanzania-Building-Footprints), [Kenya-Nigeria](https://github.com/microsoft/KenyaNigeriaBuildingFootprints) and [GlobalMLBuildingFootprints](https://github.com/microsoft/GlobalMLBuildingFootprints) are available. Checkout [RasterizingBuildingFootprints](https://github.com/mehdiheris/RasterizingBuildingFootprints) to convert vector shapefiles to raster layers
 * [Microsoft Planetary Computer](https://planetarycomputer.microsoft.com/) is a Dask-Gateway enabled JupyterHub deployment focused on supporting scalable geospatial analysis, [source repo](https://github.com/microsoft/planetary-computer-hub)