Discover the latest methodologies for machine learning applications on satellite imagery, new datasets like the Radiant Earth South African Crop Type Competition data, the latest updates and tools of the STAC ecosystem, a range of geospatial tutorials and webinars, and lots more from July.
Methodologies & Applications
- A survey of uncertainty in deep neural networks
- Global soil moisture data derived through machine learning trained with in-situ measurements
- Mapping forest cover from Landsat-8 data using ensemble machine learning methods
- Using Sentinel-1 SAR data, topographic information and in-situ data to estimate near-surface soil moisture in a Mediterranean agroecosystem
- Deep learning approaches to Earth observation change detection
- Continental-scale building detection from high resolution satellite imagery
- A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
- Learning a sensor-invariant embedding of satellite imagery with deep learning for lake ice monitoring
- Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts
- A generalizable and accessible approach to machine learning with global satellite imagery
- Using a random forest model to estimate the species distribution of Asian elephants in India
- Seeing poverty from space through deep learning to process satellite imagery and “ground-truth” data
- Mapping forest degradation and land use changes in Armenia over a 28-year monitoring period using satellite imagery time series and machine learning
- Using machine learning and satellite imagery to improve snowpack monitoring of Sweden
- Semantic segmentation of PolSAR image data using a deep learning model for urban land cover mapping
Data Access & Validation
- South Africa Crop Type Competition: A dataset produced as part of the Radiant Earth Spot the Crop Challenge
- Open Buildings: A dataset of building footprints to support social good applications
- Land Information New Zealand (LINZ) dataset covering Gisborne District, NZ released by OpenTopography
- Global offshore wind turbine dataset
Standards Research & Innovation
- Using STAC to catalog machine learning geospatial training data
- Cloud Optimized GeoTiff viewer
- PySTAC v 1.0.0 released
- STACIT: A GDAL raster driver for STAC items
- STAC 1.0.0: What’s next for the STAC Ecosystem?
- Stactools v0.2.1 released
- USGS releases LandsatLook 2.0, a new and improved tool to access Earth imagery via COG and STAC
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- Mapping invasive species using machine learning — part 1, part 2, and part 3
- Clustering in geospatial applications. Which model should you use?
- Creating a multi-label classification model for the Amazon Rainforest using satellite images
- Tailoring scenarios for evaluating specific land-use or crop type claims using Sentinel-2 imagery in Slovenia
- Satellite image segmentation using an FPN and PointRend model
- An attempt to understand and simulate forest wildfire spreading in Canada from satellite imagery using deep learning
- How to track the declining kelp forests in Northern California using satellite imagery
- How to download and stream data using Digital Earth Australia’s STAC endpoint
- A guide on geospatial visualizations with examples using Python libraries
- Dynamic time warping for satellite image time series classification with a use case for Sudan
WEBINARS
- Zindi Africa features Hammed Alemohammad for a technical tutorial on Radiant Earth Spot the Crop Hackathon
- Tanzania IndabaX 2021 webinar with Hammed Alemohammad on machine learning on Earth observation to address global development challenges
- IARAI Research in ICML 2021: Successful applications of remote sensing and artificial intelligence
- PAW Climate 2021: Earth observation data for solutions to climate change
- International Future AI Lab AI4EO TUM: Geospatial machine learning for Earth observation and climate modeling with Konstantin Klemmer
- AI for Good: AI-accelerated climate modeling
- ESIP machine learning cluster meeting: Tom Augspurger on scalable geospatial analysis
- ESIP Summer Session 2021 Breakout: Zarr + STAC
- AI Data Readiness: What does ML training data interoperability mean to you? Examples and use cases
- Best practices for reusability of machine learning models: Guideline and specification
- New frontiers in AI for Earth and space: Big data and parallel computing
PODCASTS
- The Scene From Above: Robbi Bishop-Taylor delves into Digital Earth Australia Coastlines
- Africa GeoConvo Podcast: Chris Holmes on the STAC specification and its importance
- Mind Behind Maps: Aravind Ravichandran on Earth observation markets
- Geomob: Ken Hart from Snowdrop Solutions on location based services
- Location Matters: Monitoring ecosystem dynamics in Colombia and Costa Rica with GEO-GEE project winners
RESOURCES
- Radiant Earth Foundation partners with Microsoft AI for Earth to accelerate sustainability solutions at local and global levels
- Locus Charter announces initial supporting organizations
- Radiant Earth joins the Locus Charter
- Radiant MLHub Spotlight Q&A: Macroecology and Society Lab
- A guide to using GitHub for developing and versioning data standards and reporting formats
- How Earth observation can help us fight deforestation through accurate, efficient and accessible monitoring
- Climate Change AI launches a public community directory to discover impactful people working at the intersection of climate change and machine learning
- How the World Food Programme uses SKAI, a humanitarian response mapping project powered by artificial intelligence
- Realizing machine learning’s promise in geoscience remote sensing
Data Challenges
- Radiant Earth Spot the Crop Challenge’s — track 1 and track 2 (ends September 5)
- Sentinel Hub – Urban Growth Contest (ends September 5)
- AI4EO – Enhanced Sentinel 2 Agriculture (ends September 30)
- ESA – AI for Earth Challenge (kick off September 1, ends October 29)
- EarthNet 2021: A machine learning challenge for Earth surface and localized impact forecasting
- The 2020 Climate Informatics Hackathon – Public Challenge (open)
Conferences & Workshops
- Data-driven Humanitarian Mapping Workshop, KDD 2021 (Aug 14-18)
- AmeriGeo Week 2021 (Aug 23-27)
- 2021 FOSS4G (Sep 27 – Oct 2)
- Planet Explore 2021 (Oct 12-13)
- Geo for Good Summit (Nov 16-19)
- AGU Fall Meeting 2021 (Dec 13-17)
- IndabaX 2021 – 24 AI Communities Across Africa (varies from country to country)
What are we missing? Contact Louisa@radiant.earth