Take a deep dive into machine learning methodologies, new datasets (including marine debris training data on Radiant MLHub), tutorials, a range of webinars, and tons of new resources to learn from.
Methodologies & Applications
- Detecting macro floating objects on coastal water bodies using Sentinel-2 data
- Using machine learning to create a global inventory of photovoltaic solar energy generating units
- High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation
- An enhanced 3D model and GAN for automated generation of horizontal building mask images and cloudless aerial photographs
- Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial data
- Using deep learning for change detection without labels in remote sensing
- Machine learning and remote sensing to analyze vegetation patterns in the tundra
- Mapping illegal waste dumping sites with neural-network classification of satellite imagery
- A review on deep learning in UAV remote sensing
- Application of a convolutional neural network to land use classification based on GF-2 remote sensing imagery
- CloudFindr: A deep learning cloud artifact masker for satellite digital elevation model data
- The normalised Sentinel-1 global backscatter model, mapping Earth’s land surface with C-band microwaves
- Natural disaster damage assessment through classification, GAN’s and information fusion
- The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset
- Machine learning practices outside big tech: How resource constraints challenge responsible development
Data Access & Validation
- Marine debris dataset for object detection in Planetscope Imagery
- DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space
- Landsat Burned Area dataset
- TensorFlow Hydra Flood models
- Global inventory of solar photovoltaic generating units dataset
- NASA Cyanobacteria dataset
Standards Research & Innovation
- STACSpec API v1.0.0-beta.4 released with a Twitter thread explanation by Phil Varner
- New section added on STAC Index, listing tutorials and workshops about STAC and its ecosystem to learn from and submit STAC learning resources
- Fall 2021 STAC updates on funding and the ecosystem
- Discoverable and reusable ML workflows for Earth observation (Part 2)
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- Series of tutorials for deep learning in remote sensing including research, recommendation, slides and presentations
- A PyTorch implementation of U-Net for aerial imagery semantic segmentation
- Using NDVI to analyze soybean agricultural fields in Iowa that use crop rotation
- Boat detection with multi-region-growing method in satellite images
- A brief introduction to Azure machine learning studio
- Train an image classification model in Azure using Model Builder
- Reconstructing buildings with RGB raster data with artificial intelligence (part 2)
- Basics of SAR remote sensing and its machine learning applications
WEBINARS
- Open For Good Webinar: Radiant MLHub, the library of open geospatial datasets for machine learning
- Climate Change AI: Machine learning for climate science and Earth observation
- Center of Expertise in Big Geodata Science: The Planetary Computer – Putting global-scale geospatial data to work for sustainability
- AI4Good: Overview of Destination Earth and AI, an initiative by the European Commision for high precision Earth modelling
- RUBISCO Science Focus Area: Uncertainty reduction of Earth system land model simulations with machine learning & causal networks
- AI4ESP: Workshop on using artificial intelligence for Earth system modelling
- FOSS4G: A tool for machine learning based dasymetric mapping approaches in GRASS GIS
- FOSS4G: Land cover classification using freely available multitemporal SAR data
- FOSS4G: Cloud optimized formats for rasters and vectors explained
- FOSS4G: Working with QGIS and OGC APIs
- FOSS4G: Global Earth monitoring with Sinergise
PODCASTS
- Mind Behind Maps: The Microsoft Planetary Computer with Bruno Sánchez
- Mind Behind Maps: Joe Morrison on the Earth observation market
- The Scene from Above: Landsat 9, GDAL updates and ML resources
- The Scene from Above: Steve Bumbry on land cover and land use with Impact Observatory
- Geospatially Podcast: Crowd2Map Tanzania with Janet Chapman
- GeoMob: OpenDroneMap project with Stephen Mather
RESOURCES
- Radiant Earth releases the 2021 Machine Learning for Earth Observation Market Map, a list of organizations focused on different machine learning aspects with a satellite data pipeline
- Radiant MLHub Spotlight Q&A: Gedeon Muhawenayo builds machine learning models for precision agriculture and flood detection in Rwanda
- ESA’s WorldCover map released with 10 m resolution for global land cover map
- TetraTech works to implement the Enabling Crop Analytics at Scale initiative to scale ground truth data collection, use and sharing
- Sisters of SAR release official website with various resources and trainings
- Repository of example Jupyter notebooks for working with STAC, OpenDataCube and Dask
- AI predicts accident hot-spots from satellite imagery and GPS data
- Google Earth Engine uses Earth observation and weather data to drive OpenET, a platform to map evapotranspiration for water management issues
- Call for manuscripts in MDPI Remote Sensing’s special issue of “Artificial intelligence and Earth observation in support of the UN sustainable development goals”
- GRASS-GIS adds on r.area.createweight, a tool to create weighted layers for mapping using machine learning
- Google Earth Engine to expand access to include public sector organizations and businesses
- Artificial intelligence for Earth observation: Monitoring of wildfires
- Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
Data Challenges
- xView3 – Maritime object detection and classification in global SAR scenes (ends Nov 3)
- AI4FoodSecurity Challenge, South Africa and Germany (ends Dec 19)
- EarthNet 2021: A machine learning challenge for Earth surface and localized impact forecasting
- The 2020 Climate Informatics Hackathon – Public Challenge (open)
Conferences & Workshops
- ESA-ECMWF Workshop (Nov 15-18)
- Geo for Good Summit (Nov 16-19)
- NeurIPS 2021 Workshop (Dec 13 or 14, TBD)
- AGU Fall Meeting 2021 (Dec 13-17)
- IARAI Workshop on Complex Data Challenges in Earth Observation (Jan 11)
What are we missing? Contact Louisa@radiant.earth