Add VENμS

Author: robmarkcole

README.md

@@ -103,7 +103,8 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
 * [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
-
+* [ShipWakes](https://zenodo.org/records/7947694) -> Keypoints Method for Recognition of Ship Wake Components in Sentinel-2 Images by Deep Learning
+* [TimeSen2Crop](https://zenodo.org/records/4715631) -> a Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop Type Classification
 
 ## Landsat
 Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat_program)
@@ -115,6 +116,13 @@ Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat
 * [Landsat-mosaic-tiler](https://github.com/kylebarron/landsat-mosaic-tiler) -> This repo hosts all the code for landsatlive.live website and APIs.
 * [LandsatSCD](https://github.com/ggsDing/SCanNet/tree/main) -> a change detection dataset, it consists of 8468 pairs of images, each having the spatial resolution of 416 × 416
 
+## VENμS
+Vegetation and Environment monitoring on a New Micro-Satellite ([VENμS](https://en.wikipedia.org/wiki/VEN%CE%BCS))
+* [VENUS L2A Cloud-Optimized GeoTIFFs](https://registry.opendata.aws/venus-l2a-cogs/)
+* [VENuS cloud mask training dataset](https://zenodo.org/records/7040177)
+* [Sen2Venµs](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
+
 ## Maxar
 Satellites owned by Maxar (formerly DigitalGlobe) include [GeoEye-1](https://en.wikipedia.org/wiki/GeoEye-1), [WorldView-2](https://en.wikipedia.org/wiki/WorldView-2), [3](https://en.wikipedia.org/wiki/WorldView-3) & [4](https://en.wikipedia.org/wiki/WorldView-4)
 * [Maxar Open Data Program](https://github.com/opengeos/maxar-open-data) provides pre and post-event high-resolution satellite imagery in support of emergency planning, response, damage assessment, and recovery
@@ -376,10 +384,6 @@ RF100 is compiled from 100 real world datasets that straddle a range of domains.
 * SODA-A comprises 2513 high-resolution images of aerial scenes, which has 872069 instances annotated with oriented rectangle box annotations over 9 classes
 * https://github.com/shaunyuan22/CFINet
 
-## Sen2Venµs (sen2venus)
-* 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
@@ -554,6 +558,7 @@ Since there is a whole community around GEE I will not reproduce it here but lis
 * [TimeMatch](https://zenodo.org/records/5636422) -> dataset for cross-region adaptation for crop identification from SITS in four different regions in Europe
 * [BirdSAT](https://github.com/mvrl/BirdSAT) -> Cross-View iNAT Birds 2021: This cross-view birds species dataset consists of paired ground-level bird images and satellite images, along with meta-information associated with the iNaturalist-2021 dataset.
 * [OpenSARWake](https://github.com/libzzluo/OpenSARWake) -> A SAR ship wake rotation detection benchmark dataset.
+* [TUE-CD](https://github.com/RSMagneto/MSI-Net) -> A change detection detection for building damage estimation after earthquake
 
 ## Kaggle
 Kaggle hosts over > 200 satellite image datasets, [search results here](https://www.kaggle.com/search?q=satellite+image+in%3Adatasets).