Explore the latest tutorials and webinars designed to help you work efficiently with geospatial data and cloud-native practices. Also included in this month’s round-up are the top methodologies in Earth observation, datasets that can be used for training, and top news stories in the ML4EO field.
Methodologies & Applications
- Assessment of open access global elevation model errors impact on flood extents in southern Niger
- Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study
- Pest presence prediction using interpretable machine learning
- Comparison of surface water detection machine learning models
- ECMWF short-term prediction accuracy improvement by deep learning
- Insights on productive upwelling regimes shown by satellite imagery and machine learning on the Agulhas Bank
- Long-term Landsat-based monthly burned area dataset for the Brazilian biomes using deep learning, access data here
- Cloud-based applications for accessing satellite Earth observations to support malaria early warning
- Application of UAV remote sensing and machine learning to model and map land use in urban gardens
- Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth
- Towards space-to-ground data availability for agriculture monitoring
- A data cube of big satellite image time-series for agriculture monitoring
- Application of multi-channel convolutional neural network to improve DEM data in urban cities
- Crop type identification for smallholding farms: analyzing spatial, temporal and spectral resolutions in satellite imagery
- Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models
- Learning language-guided curriculum visual question answering on remote sensing data
Standards Research & Innovation
- Planet and Cloud-Native Geospatial: history and next steps
- Spatial Thoughts: How to create a Sentinel-2 mosaic in QGIS using STAC and COG
- Stactools v0.3.1 released
- GeoParquet 0.4.0 released
- Slides on Cloud-Native Geospatial by Matthew Hanson at North51
Data Access & Validation
- Microsoft Bing releases open worldwide footprints of 777M buildings from 2014-2021, including Maxar and Airbus satellite imagery
- Updates to Microsoft Planetary Computer, including many datasets and API enchancements
- Whales from Space Dataset
Geospatial Models
- ESRI’s new pretrained deep learning models
- GEE scripts used to construct the MapBiomas Collection 1 burned area dataset
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- Dymaxion Labs: How to create a land cover model for South America in 4 steps using Radiant Earth’s LandCoverNet South America
- Qiusheng Wu: Download Microsoft’s global building footprint data with only one command
- Syam Kakarla: Satellite imagery analysis to handle TIFF files
- Abdishakur: Train and deploy geospatial deep learning application in Python
- Omdena: Guide on using AI and open source satellite imagery to address global problems
- Bertrandlobo: Accessing and plotting satellite imagery (part 1) and Land cover mapping with Python (part 2)
- Dimitris Sykas: Understanding agricultural risks with the GEO-Insurance platform
- rexy.ai: Spatial resolution and object detection accuracy
- Frederik Ueberschär: A closer look at the code for creating a dataset of satellite images for StyleGAN training
- Fractal AI@Scale, Machine Vision, NLP: Understanding satellite images for geospatial deep learning
- PySTAC introduction on reading, writing, and creating STAC objects
WEBINARS
- USSEIN: Using Python for geospatial analysis and interactive mapping with Qiusheng Wu
- Centre for Water Informatics and Technology: Using Earth observation data for responsive food security with Ritvik Sahajpal
- NOAA: Digital Twin for Earth Observations Using Artificial Intelligence
- MIT Institute for Data, Systems and Society: WiDS Cambridge 2022: AI and EO in Agriculture in Sub-Saharan Africa with Catherine Nakalembe
- ESRI: Geospatial analysis of satellite imagery with live demo
- Sparkgeo: Analysis-ready mosaics with William Parkinson
PODCASTS
- Mind Behind Maps: How Landsat became free and open with Barbara Ryan
- Mind Behind Maps: From founder to investor in the space industry with Jonathan Lacoste
- Africa GeoConvo: Geo-creativity and founding a geospatial non-profit with Esther Onyekachi Ogbu
- Geomob: Passion about geo and ESRI with Jack Dangermond
- Geomob: Mapping the Holocaust with Anne Kelly Knowles
- Scene from Above: Takeover 2 – inclusive futures with Ladies of Landsat and Sisters of SAR
- The Dirt on Data: The fundamentals of crop analytics & Remote sensing for food security
- A Very Spatial Podcast: The importance of webmaps
RESOURCES
- ii2030 challenge: Identifying sustainable business models for open machine learning ready Earth observation repositories
- Registration for the Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) summer school is open
- Open code available for HIECTOR: Hierarchical object detector at scale
- A conversation with the first place winning team’s lead of the AI4FoodSecurity Data Challenge, Christian Ayala Lauroba
- How Descartes Labs mapped the world’s solar power plants
- Unlocking climate and sustainability action with remote sensing
- Mosquito forecast built by OFF! insect repellents and Google Cloud
- Podcast Host Maxime Lenormand’s advice for people entering the Earth observation field
- USF tech helps combat malaria and other tropical diseases across the world with predictive mapping
- UNDRR and ESRI create the Earth Observations Risk Toolkit, highlighting EO solutions for disaster risk reduction
- Report from GEOGLAM’s Crop Monitor shows unprecedented 4th consecutive poor rainfall season for the Horn of Africa
- Call for manuscripts for special issue “Computer Vision and Machine Learning Application on Earth Observation”
- Satellogic and UP42 team up to offer rapid monitoring capabilities
- How the Global Plastic Watch tool uses AI and EO to measure plastic waste from space
- Monitoring soils at farm scale based with ML and EO to build an open soil data cube for Europe
Challenges
- ESA: AI on the Edge to train a model to classify land patches with OPS-SAT (ends Oct 31)
- EUMETSAT: Jupyter Notebook Competition to help people work with Copernicus data (ends July 31)
- Copernicus: Copernicus Masters to create Earth observation-driven solutions (ends July 11)
- AI4EO: Hyperview Challenge to estimate soil parameters (ends July 1)
- IARAI: Landslide4Sense to detect landslides (ends June 12)
Conferences & Workshops
- Kenya Space Expo & Conference 2022 (June 15-17)
- GeoPython 2022 (June 20-22)
- CVPR 2022 (June 19-24)
- EARTHVISION 2022 (June 19)
- IGARSS’ 2022 Symposium (July 17-22)
- Trustworthy Artificial Intelligence for Environmental Science (June 27-30)
- IGARSS’ 2022 Symposium (July 17-22)
- IARAI Workshop on Complex Data Challenges in Earth Observation (July 23-25, exact date TBD)
- Deep Learning Indaba (August 21-26)
- National Academies’ U.S.-Africa Frontiers of Science, Engineering, and Medicine Symposium (October 12-13)
What are we missing? Contact Louisa@radiant.earth