Explore the wide variety of methodologies and applications stretching from mapping sugarcane in Thailand to identifying the eye of tropical cyclones from satellite image data, podcasts with leading figures in the geospatial community, tutorials, and other great resources for the month of July.
Methodologies & Applications
- Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine
- SyntEO: Synthetic dataset generation for Earth observation and deep learning – Demonstrated for offshore wind farm detection
- Current trends in deep learning for Earth observation: An open-source benchmark arena for image classification
- Multi-dimension geospatial feature learning for urban region function recognition
- Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
- Multimodal SuperCon: Classifier for drivers of deforestation in Indonesia
- Using generative models for augmenting the EuroSAT dataset for the Land Use and Land Cover classification
- Classifying crop types using Gaussian Bayesian Models and Neural Networks on GHISACONUS USGS data from NASA hyperspectral satellite imagery
- Open high-resolution satellite imagery: The WorldStrat Dataset – with application to super-resolution
- An update on global mining land use
- A purely spaceborne open source approach for regional bathymetry mapping
- A regional wind wave prediction surrogate model based on CNN deep learning network
- Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: a review
- Identification of storm eye from satellite image data using fuzzy logic with machine learning
Data Access & Validation
- LandCoverNet, a global annual land cover classification training dataset on RadiantMLHub
- WorldStrat Dataset, high-resolution satellite images of unique locations of land use
- The latest open data on AWS including geospatial data, climate data, and more
- STAC-supported 10m spatial resolution seamless mosaics for EU added to EcoDataCube
- A collection and categorization of open-source wind and wind power datasets
Standards Research & Innovation
- GEE releases STAC Jsonnet templates for public data catalog
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- Dymaxion Labs: How to detect green areas in cities and classify them
- Towards Data Science: Denoising radar satellite images using deep learning in Python
- DeHatt: Identifying agricultural land — using satellite imagery and unsupervised ML
- Francisco J. Peña: Water detection using NDWI on Google Earth Engine
- Geek Culture: Monitor land use changes with Google Earth Engine and Dynamic World
- Pedro Higuchi: Unsupervised detection of climate anomalies with Python
- TechLabs Aachen: Quantification of vegetation populations in drone images with instance segmentation algorithms
- The SpaceNet 8 flood detection challenge: Dataset and algorithmic baseline release
- Kendall Frimodig: Efficient object detection within satellite imagery using Python
WEBINARS
- MAPIN RI: Artificial intelligence and the environment from the global south session 1 and session 2
- SparkGeo: Designing accessible maps for all with Kitty Hurley
- SparkGeo: Data Guild – Howard Butler on COPC.io (Cloud Optimized Point Clouds)
- AI for Good: Information discovery from big Earth observation archives
- AI for Good: Satellite data analysis and ML classification with QGIS
- UCSC Silicon Valley Extension: AI sustainability using free satellite data
- Databricks: Cloud native geospatial analytics
PODCASTS
- Geospatially Africa Podcast: Spatial Node with Emmanuel Jolaiya
- Mind Behind Maps: Food security in Africa with Catherine Nakalembe
- Mind Behind Maps: Overstory and tackling wildfires with Indra Den Bakker
- Mapscaping: Sentinel Hub with Grega Milcinski
- Mapscaping: QGIS and Mergin Maps with Peter Petrik
- Mapscaping: Whitebox geospatial tools with John Lindsay
- Geomob: Sotm and FOSS4G previews with Luca Delucchi
- The Scene from Above: STAC, Dynamic Earth and Github
- Pathfinder: Planet, Earth observation, going public, and Ukraine with Kevin Weil
RESOURCES
- Radiant Earth releases LandCoverNet, the first global multi-satellite training dataset for land cover classification
- LandCoverNet global training labels added to the GEE community
- EUMETSAT to explore new artificial intelligence approaches
- Charting Planet’s second decade
- Data scientists use new techniques to identify lakes and reservoirs around the world
- Fifty years of Landsat science and impacts
- Join Climate Change AI’s Community Directory to share your interests and areas of expertise
- Robin Cole’s resources for deep learning with satellite and aerial imagery
- Earth Observation Database, a searchable catalog of public benchmark datasets
- Digital Earth Africa transitions leadership to Africa
- Advancing crop analytics for smallholder farmers
Data Challenges
- SpaceNet 8: Flood Detection Challenge Using Multiclass Segmentation
- Copernicus: Copernicus Masters to create Earth observation-driven solutions (ends July 11)
- EUMETSAT: Jupyter Notebook Competition to help people work with Copernicus data (ends July 31)
- FruitPunch AI: AI against Oil Spills Challenge (application deadline Aug 14)
- ESA: AI on the Edge to train a model to classify land patches with OPS-SAT (ends Oct 31)
- AI for Good: ITU GeoAI Challenge on school mapping (ends Nov 22) and cropland mapping (ends Sep 30)
- Zindi: Layer.ai Air Quality Prediction Challenge (ends Oct)
Conferences & Workshops
- State of the Map (August 19-22)
- Deep Learning Indaba (August 21-26)
- FOSS4G 2022 (August 22-28)
- FIG Congress 2022 (September 11-15)
- Transformers for Environmental Science (September 22-23)
- SATSUMMIT 2022 (September 28-29)
- National Academies’ U.S.-Africa Frontiers of Science, Engineering, and Medicine Symposium (October 12-13)
- The 22nd William T. Pecora Memorial Remote Sensing Symposium (Pecora 22) (October 24-27)
- ECMWF–ESA Workshop on Machine Learning for Earth Observation and Prediction (November 14-17)
- Climate Change AI AAAI Fall Symposium (November 17-19)
- AGU Fall Meeting 2022 (December 12-16)
What are we missing? Contact Louisa@radiant.earth