various

Author: robmarkcole

README.md

@@ -119,6 +119,10 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
 * [substation-seg](https://github.com/Lindsay-Lab/substation-seg) -> segmenting substations dataset
 * [PhilEO-downstream](https://huggingface.co/datasets/PhilEO-community/PhilEO-downstream) -> a 400GB Sentinel-2 dataset for building density estimation, road segmentation, and land cover classification.
 * [PhilEO-pretrain](https://huggingface.co/datasets/PhilEO-community/PhilEO-pretrain) -> a 500GB global dataset of Sentinel-2 images for model pre-training.
+* [KappaSet: Sentinel-2 KappaZeta Cloud and Cloud Shadow Masks](https://zenodo.org/records/7100327)
+* [AllClear](https://allclear.cs.cornell.edu/) A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
+* [Sentinel-2 reference cloud masks generated by an active learning method](https://zenodo.org/records/1460961)
+* [Cloud gap-filling with deep learning for improved grassland monitoring](https://zenodo.org/records/11651601)
 
 ## Landsat
 Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat_program)
@@ -595,6 +599,9 @@ Since there is a whole community around GEE I will not reproduce it here but lis
 * [pangaea-bench](https://github.com/yurujaja/pangaea-bench) -> A Global and Inclusive Benchmark for Geospatial Foundation Models
 * [VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding](https://vrsbench.github.io/)
 * [SeeFar](https://coastalcarbon.ai/seefar) -> Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models
+* [RSHaze+](https://zenodo.org/records/13837162) -> remote sensing dehazing datasets in PhDnet: A novel physic-aware dehazing network for remote sensing images
+* [GDCLD](https://zenodo.org/records/13612636) -> A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images
+* [10,000 Crop Field Boundaries across India](https://zenodo.org/records/7315090) -> using Airbus SPOT
 
 ## Kaggle
 Kaggle hosts over > 200 satellite image datasets, [search results here](https://www.kaggle.com/search?q=satellite+image+in%3Adatasets).