Explore the latest data challenges, including Radiant Earth’s 2 track Spot the Crop Challenge, newly available datasets, all the big STAC updates (STAC 1.0.0 release!), tutorials on vegetation detection, and more from the past month!
Methodologies & Applications
- Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska
- A benchmarking protocol for pansharpening in remote sensing images: dataset, preprocessing, and quality assessment
- The impact of climate change on the productivity of conservation agriculture
- Paradigm selection for data fusion of SAR and multispectral Sentinel data for land cover classification
- Deep neural networks with transfer learning for forest variable estimation using Sentinel-2 imagery in the Boreal Forest
- Satellite image time series analysis for big Earth observation data
- MAMOTH: An Earth observational data-driven model for mosquitoes abundance prediction
- New approach to damage mapping using SAR and deep learning
- How CubeSat data delivers insights into agricultural water use
- Satellite flood inundation assessment and forecast using SMAP and Landsat
- Estimating the heavy metal concentrations in topsoil in the Daxigou mining area, China, using multispectral satellite imagery
- A review of satellite-based global agricultural monitoring systems available for Africa
Data Access & Validation
- Eurocrops: A Pan-European dataset for time series crop type classification
- A new NASA High Mountain Asia Multitemporal Landslide Inventories dataset
- Land Information New Zealand (LINZ) dataset covering Westport, NZ released by OpenTopography
Standards Research & Innovation
- STAC version 1.0.0 released
- Specifics to STAC 1.0.0 — what’s changed, extensions and community highlights
- The state of the STAC ecosystem: clients, serves & utilities
- STAC API Version 1.0.0-beta.2 released
- PySTAC 1.0-rc.1 released
- First pre-release version of stactools v0.2
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- A step by step guide on how to detect, outline and classify farm plots on satellite images
- How to add STAC COG to Leafmap to visualize geospatial data
- Short introduction on semantic segmentation of satellite images
- Satellite image multi-class semantic segmentation task with PyTorch implementation of U-Net
- How to leverage crop statistics to improve satellite-based maps
- How to access and use Allen Coral Atlas data to monitor coastal reefs
- Use geemap for remote sensing images in deep learning models
- Use case: Automated weather analysis using image recognition
- Active learning tutorial with the Nvidia Transfer Learning Toolkit to detect fruit
WEBINARS
- Climate Change AI: How machine learning and satellite data can help coastal communities combat climate change
- Norwegian Open AI Lab: Overview of deep learning in Earth observations
- Sherri Wang on machine learning for satellite imagery methods to use when labels are scarce
- Geoawesomeness webinar on UP42 data challenge: Introduction to satellite image augmentation with GAN’s
- Dask: Temporal processing of geospatial data using Dask
- Sentinel Hub: Batch processing API
- Sentinel Hub: A short course on Earth observation methods and data
- Tanzania AI Lab Youtube channel contains many Tanzania IndabaX livestream recorded webinars
PODCASTS
- The Scene From Above: Norman Baker and Stavros Papadopoulos on TileDB and geospatial data
- Geomob: Ferdinando Villa on AI for Environmental & Sustainability Project
- Mapscaping: Elizabeth Duffy on Urban estimation, Earth observation and deep learning
- Minds Behind Maps: Denise McKenzie on Location data ethics and policy making
- Geomob: Gregory Marler on OpenStreetMap’s State of the Map
- Geomob: Neil Ackroyd on Sustainability mapping over the years and how geospatial technologies and standards can help create sustainable development
RESOURCES
- Impact Observatory, Esri and Microsoft AI for Earth release 2020 land use/land cover map of the world that uses highest resolution satellite data available from the European Space Agency
- Cloud native geospatial community releases STAC specification version 1.0.0 to connect remote sensing data into a network of information about the Earth
- Machine learning model doubles accuracy of global landslide ‘nowcasts’
- NASA IMPACT team uses satellite imagery and machine learning to detect plastic pollution in oceans
- How state-of-the-art approaches that leverage computer vision can help the environment and people
- Microsoft Azure orbital update includes data analytics using AI/ML on the satellite imagery getting used for change detection
- Methods Astraea is using to localize cement plants in under-reported regions of the world
Data Challenges
- Radiant Earth Spot the Crop Challenge’s — track 1 and track 2 (ends September 5)
- AI4EO – Enhanced Sentinel 2 Agriculture (ends September 30)
- Overhead Geopose Challenge for time-sensitive mapping (ends July 19) – read the challenge benchmark walkthrough
- ESA – Digital Twin Earth Challenge (ends July 19)
- Copernicus Masters Competition (ends July 19)
- Challenge to improve sub-seasonal to seasonal predictions using artificial intelligence (ends October 31)
- EarthNet 2021: A machine learning challenge for Earth surface and localized impact forecasting
- The 2020 Climate Informatics Hackathon – Public Challenge (open)
Conferences & Workshops
- IGARSS’ 2021 Symposium (July 12-16)
- ICML 2021 Workshop on Tackling Climate Change with Machine Learning (July 23 or 24, TBD)
- Data-driven Humanitarian Mapping Workshop, KDD 2021 (Aug 14-18)
- 2021 FOSS4G (September 27 – October 2)
- IndabaX 2021 – 24 AI Communities Across Africa (varies from country to country)
What are we missing? Contact Louisa@radiant.earth