This month brings a great number of advances in STAC applications, a range of tutorials including how to use Radiant MLHub’s Python Client, plus new pre-trained models on BigEarthNet, webinars for vegetation monitoring, and many more beneficial resources. Explore March’s ML4EO market highlights below.
Methodologies & Applications
- A machine-learning approach to map landscape connectivity in Aedes aegypti (the yellow-fever mosquito) with genetic and environmental data
- Prediction of solar irradiance and photovoltaic solar energy product based on cloud coverage estimation using machine learning methods
- Using satellite imagery to understand and promote sustainable development
- Lidar crop classification with data fusion and machine learning
- Mapping trees along urban street networks with deep learning and street-level imagery
- Scaling AI to map every school on the planet. Development Seed helps UNICEF identify unmapped schools across Asia, Africa, and South America
- African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
- Automatic delineation of glacier grounding lines in differential interferometric synthetic-aperture radar data using deep learning
- Europe from above: Space-time machine learning reveals our changing environment
- New satellite-based technique measures photosynthesis to make yield predictions easier
- The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities
- A partnership between NASA’s IMPACT and SpaceML led to the development of an open-source framework, simplifies the discovery of satellite imagery in NASA Worldview
Data Access & Validation
- Radiant MLHub Python Client — Beta Release, feedback encouraged
- AReNA’s DHS-GIS Database – a new dataset that combines Demographic Health Surveys with geographic information systems
Standards Research & Innovation
- SpatioTemporal Asset Catalog (STAC) 1.0.0-rc.2 is now available, updated from 1.0.0-rc.1 release
- Data Catalog of the Swiss Federal Spatial Data Infrastructure available in STAC format
- Rio-stac: A plugin for creating a valid STAC item from raster dataset
- Rio-viz updated to have better support of STAC
- STAC-repl, a context-aware console application for interacting with local and remote STAC resources
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- GEEMap new feature – Creating training samples for machine learning and supervised image classification
- Designing walkable pedestrian districts with machine learning
- Land cover classification of satellite imagery using python
- Python for Geosciences: Working with satellite images (step by step guide)
- Flood detection and monitoring using satellite imagery with python
- UN-SPIDER’s radar-based flood mapping tutorial
- IEEE GRSS Remote Sensing Training materials
- Lectures, workflows, and other data analytics & machine learning resources by Prof. Michael Pyrcz
- Cloud Segmentation in Landsat-8 Images
- Getting started with STAC APIs
WEBINARS
- EO4GEO webinar on the rise of AI for EO
- UP42 panel on The future of farming: With satellite imagery, weather, data & deep learning
- AidData discusses three sources of data aimed at empowering global insights leveraging geospatial information
- Group on Earth Observation’s panel on access high-resolution satellite data to tackle tropical deforestation, the NICFI data program
PODCASTS
- Eyes on Earth with Eric Bullock: Deforestation and forest degradation
- Eyes on Earth with Jeffrey Mase and Brian Freitag: Harmonized Landsat Sentinel data
- Degrees of Freedom with Zhuangfang NaNa Yi: Working on impactful projects
- Scene From Above: GEO with Phoebe and Angelica about AfriGEO and AmeriGEO
- 4Front: A conversation with NASA Harvest Director Alyssa Whitcraft
- MapScaping: Introducing Google Earth Engine with Qiusheng Wu
- MapScaping: Open Geospatial Standards— shared standard to solve shared problems
RESOURCES
- BigEarthNet-MM Pre-trained models have been added to bigearth.net
- Planet: Universal access to satellite monitoring paves the way to protect the world’s tropical forests
- Agricultural monitoring gets GLAMorized: NASA’s Legacy Global Agricultural Monitoring System gets an update
- Hexagon releases machine-learning GIS tool for smart cities
- Startup releases industry-leading machine learning models to solve farmed fish disease, available to farmers across Norway
- Openscapes: NASA-funded project supports researchers migrating workflows to the cloud using open, collaborative workflows
- How the Center for Effective Global Action harness data science for development
- Quantarctica, an integrated geospatial data mapping environment for Antarctica, the Southern Ocean, and sub-Antarctic islands
- Capella Space releases first light high-resolution images from its latest SAR satellites
Data Challenges
- ESoWC 2021 Challenge Streams (application ends April 16)
- 2021 GIS Certification Institute Map Contest (ends April 30)
- Earth Vision 2021 Challenges: FloodNet Semantic Segmentation (ends May 15) & DynamicEarthNet Land Cover Change Detection (ends June 1)
- Lacuna – Correct Field Detection Challenge (ends June 13)
- The 2020 Climate Informatics Hackathon – Public Challenge (open)
Conferences & Workshops
- IEEE GRSS’ Trillion Pixel Challenge Workshop (April 21-22), register by April 16
- CVPR 2021 (June 19-25)
- IGARSS’ 2021 Symposium (July 12-16)
- GeoPython 2021 (April 22-23)
- AGU Ocean Visions Summit 2021(May 18-21)
- First International Geoscience and Remote Sensing Symposium of GRSS-Chile (June 2)
- 2021 FOSS4G
What are we missing? Contact Louisa@radiant.earth