In January, explore new training datasets from SpaceNet, the World Bank, Pangeo, and Sevir (using NOAA’s storm event database), numerous ML4EO tutorials, examples of ML applications using EO, STAC Browser version 1.0.0, and other important resources.
Methodologies & Applications
- Improved satellite technology and radar products advance cropland mapping
- Characterization of ice shelf fracture features using ICESat-2 – A case study over the Amery Ice Shelf
- Urban Green from Earth Observation (U-GEO) is using machine learning algorithms that combine Copernicus data with urban planning, resource management, and green infrastructure
- SEVIR: A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
- Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
- Can you guess if this place is real? – Generating synthetic training data that can improve the accuracy of machine learning models
- Explainable identification and mapping of trees using UAV RGB image and deep learning
- A novel framework for spatio-temporal prediction of environmental data using deep learning
- Sentinel Hub now supports Radiometric Terrain Correction (RTC) for Sentinel-1 imagery
- Deep Learning detects elephants in Maxar satellite imagery on par with human accuracy
- Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network
- Probabilistic machine learning estimation of ocean mixed layer depth from dense satellite and sparse in-situ observations
- Researchers speed up analysis of Arctic ice and snow data through artificial intelligence
- TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data
Data Access & Validation
- Storm EVent ImagRy (SEVIR) Dataset (weather radar)
- SpaceNet 7 Dataset available on Radiant MLHub with a STAC catalog (~100 unique geographies)
- Weather and Climate Datasets for AI Research
- World Bank – Light Every Night
Standards Research & Innovation
- SpatioTemporal Asset Catalogs and the Open Geospatial Consortium
- Bringing STAC into OGC
- OGC GeoTIFF Standard Working Group updates work items; public comment sought on new charter
- Version 1.0.0 of the SpatioTemporal Asset Catalog Browser is now available (also in npm)
Tutorials, Webinars (recorded) & Resources
TUTORIALS
- How to use the Storm EVent ImagRy (SEVIR) dataset and code sample
- How to create timelapse animations with custom projection, scale bar, and north arrow on GEE
- Satellite Imagery Analysis with Python with Azavea at DataPhily
- Building virtual rasters from STAC
- Using Cloud Optimized Geotiff part 1 and part 2 – Python
- STAC, COG, Python, and QGIS
- Land Cover Classification of Satellite Imagery using Convolutional Neural Networks
- Geo-harmonizer geospatial data tutorial
- Extracting buildings and roads from AWS Open Data using Amazon SageMaker
WEBINARS
- GRSS Earth Science Informatics: Artificial Intelligence and Machine Learning for Data Systems
- Big Data in Watersheds: Integrating Wetlands and Floodplains in Hydrologic Modeling
- Climate change analyzing remote sensing data with Python, Luis Lopez at PyData Global 2020
PODCASTS
- The Scene from Above – Care about COGs
- Eyes on Earth Episode 40 – Landsat Collection 2 with Dr. Chris Barnes
- TWIML – AI for Ecology and Ecosystem Preservation with Dr. Bryan Carstens
RESOURCES
- Call for abstracts: Advances in AI Applications for Small-scale Agricultural Systems – Deadline for abstract submissions: 1 March 2021
- Special Journal Issue: Recent Advances for Crop Mapping and Monitoring Using Remote Sensing Data – Deadline for manuscript submissions: 28 February 2022
- Announcing the updated Machine Learning for Earth Observation Market Map
- Light Every Night – New nighttime light data set and tools for development
- Lacuna fund announces the first cohort of grantees under the Agricultural dataset for AI
- Satellite yield estimation: how good is it, and what can we learn?
- Mapbox adds Maxar’s Vivid Basemap as a global foundational imagery layer
- Planet releases ArcGIS Add-In & QGIS Plugin V2.0
- Planet leads RapidAI4EO Consortium to advance rapid and continuous land monitoring. The complete training datasets will be open sourced.
- SpaceNet 7 Results: Overachieving Pixels
- SpatioTemporal Asset Catalogs (STAC) – An introduction presented by Matthias Mohr
Data Challenges
- Wind-dependent Variables: Predict Wind Speeds of Tropical Storms
- CGIAR Crop Yield Prediction Challenge
- SEVIR Dataset Challenge
Conferences & Workshops
- CVPR 2021 (June 19-25)
- IGARSS’ 2021 Symposium (July 12-16)
- GeoPython 2021 (April 22-23)
What are we missing? Contact Louisa@radiant.earth