EarthDaily's repositories
qgis-plugin
🗺️ To be able to discover, request and use aggregate imagery products based on landsat-8/9, Sentinel 2 and other sensors from within QGIS, using the <geosys/> API.
earthdaily-python-client
EarthDaily python client
Examples-and-showcases
Integration examples and showcase of <geosys/>platform capabilities.
ArcGIS-plugin
🗺️ To be able to discover, request and use aggregate imagery products based on landsat-8/9, Sentinel 2 and other sensors from within ArcGIS Pro, using the <geosys/> API.
impacted-areas-identification-processor
Processor showcasing how to compare vegetation index before and after an event to determine impacted areas.
reflectance-datacube-processor
Processor showcasing how to extract data from EarthData Store with premium cloud mask and publish a datacube on cloud storage
analytic-processor-template
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
qgis-plugin-doc
shared resources for doc generation
Studies-and-Analysis
This repository consolidate various analysis on EarthDaily Agro services and conference contributions.
.github
Organization profile repo
analytics-datacube-processor
Processor showcasing how to extract analytics (mostly vegetation indexes here), package them as a N dimension object that will be persisted on cloud storage.
AnalyticStreamFormater
The Analytic Stream Formater is listening agricultural field related (new satellite image, new analytic generated) events coming from <geosys/> platform triggering analytic fetching, formatting and publication to an Azure Blob storage.
Blocks-showcases-angular
Demonstrator for geosys mfe integration in Angular appshell
Blocks-showcases-react
Demonstrator for geosys mfe integration in appshell
regional-level-alerts-processor
Processor showcasing how to generate alerts at regional level based on weather and vegetation status
sub-entity-analysis-processor
Processor showcasing how the impact of an inputs or a practices applied on a sub area of a field using time series.