Radiant Earth
Increasing shared understanding of our world through community-led initiatives that make data easier to access and use.
Pinned Repositories
crop-type-detection-ICLR-2020
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
geo-ml-model-catalog
Geospatial ML Model Catalog Spec
ground-referencing-guide
Best practices for ground reference data collection and cataloguing
ml4eo-bootcamp-2021
Machine Learning for Earth Observation Training of Trainers Bootcamp
mlhub-tutorials
Tutorials to access Radiant MLHub Training Datasets
radiant-mlhub
A Python client for the Radiant MLHub API (https://mlhub.earth).
stac-api-spec
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
stac-browser
A full-fledged UI in Vue for browsing and searching static STAC catalogs and STAC APIs
stac-spec
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
tiles.rdnt.io
A tile service for Cloud Optimized GeoTIFF's
Radiant Earth's Repositories
radiantearth/stac-spec
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
radiantearth/stac-browser
A full-fledged UI in Vue for browsing and searching static STAC catalogs and STAC APIs
radiantearth/stac-api-spec
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
radiantearth/mlhub-tutorials
Tutorials to access Radiant MLHub Training Datasets
radiantearth/radiant-mlhub
A Python client for the Radiant MLHub API (https://mlhub.earth).
radiantearth/source-cooperative
Source Cooperative
radiantearth/stac-site
Website for SpatioTemporal Asset Catalog specification
radiantearth/Nasa_harvest_field_boundary_competition
radiantearth/community-sprints
This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development
radiantearth/model_ecaas_agrifieldnet_gold
AgriFieldNet Model for Crop Detection from Satellite Imagery
radiantearth/agrifieldnet_india_competition
radiantearth/spot-the-crop-challenge
Winning models from the Radiant Earth Spot the Crop Challenge (https://zindi.africa/competitions/radiant-earth-spot-the-crop-challenge)
radiantearth/CropDetectionDL
A Spatio-Temporal Deep Learning-Based Crop Classification Model for Satellite Imagery
radiantearth/model_nasa_rwanda_field_boundary_competition_gold
radiantearth/mlhub_model_template
{{model name }}
radiantearth/model_nasa_rwanda_field_boundary_competition_bronze
model_nasa_rwanda_field_boundary_competition_bronze
radiantearth/model_ramp_baseline
Replicable AI for Microplanning (Ramp) Bootstrap Model
radiantearth/field-boundary-webinar
Repository for webinar content
radiantearth/model_ecaas_agrifieldnet_bronze
Looking further: a crop type classification model for fields
radiantearth/PlanetaryComputerExamples
Examples of using the Planetary Computer
radiantearth/annotation-dashboard
radiantearth/label
Label extension
radiantearth/source-cooperative-validator-stac
radiantearth/stac-psc
STAC Project Steering Committee
radiantearth/.github
Radiant Earth Github README
radiantearth/eo
EO Extension Specification
radiantearth/iserv-stac-generator
radiantearth/mlhub-dataset
radiantearth/model_ecaas_agrifieldnet_silver
Weighted Tree-based Crop Classification Models for Imbalanced Datasets
radiantearth/model_nasa_rwanda_field_boundary_competition_silver
model_nasa_rwanda_field_boundary_competition_silver