Sync satellite imagery analysis results with project dashboards

Purpose

1.1. Automatically transmit processed satellite imagery analytics (crop health, soil condition, water stress data) from analytical platforms to live project dashboards utilized by agricultural engineers for monitoring, reporting, and informed decision-making.
1.2. Enable real-time field insights visibility by minimizing manual data movement, improving response speed to crop anomalies, and integrating spatial analytics into routine field ops and IoT-powered workflows.

Trigger Conditions

2.1. New satellite analysis report generated or updated in provider’s system.
2.2. Specific data thresholds met (e.g., NDVI below set value, pest/disease index above norm).
2.3. Scheduled interval (e.g., daily, weekly) for routine sync to dashboards.
2.4. Change detected by event-driven webhooks or API polling.

Platform Variants

3.1. Google Earth Engine
• Feature/Setting: Export analytical result using Earth Engine’s “Export.table.toDrive” or “Export.image.toCloudStorage”; configure callback webhook POST for completion.
3.2. Sentinel Hub
• Feature/Setting: Configure “Process API” outputs with webhook endpoint and use “OgC API” Subscription option for push updates.
3.3. Planet Labs
• Feature/Setting: Use “Data API”/“Orders API” for imagery exports; set notification webhook in user workspace.
3.4. Microsoft Azure Maps
• Feature/Setting: Automate “Get Map Tile” response integration using REST API; combine with Azure Event Grid for automated triggers.
3.5. Esri ArcGIS Online
• Feature/Setting: Enable “Feature Service” webhooks or scheduled “Python Notebooks” publishing processed layers to dashboard endpoints.
3.6. Mapbox
• Feature/Setting: “Tilesets API” to automate dataset updates; trigger data push via batch file upload endpoint.
3.7. IBM Watson Visual Recognition
• Feature/Setting: Configure “Visual Recognition API” to detect crop patterns, send results to a specified webhook when batch jobs finish.
3.8. AWS Rekognition
• Feature/Setting: Batch image analysis using “DetectLabels” API, with “SNS” for event push to dashboards.
3.9. QGIS Server
• Feature/Setting: Configure “WMS”/“WFS” service output and automate sync using “Python plugins” calling dashboard API.
3.10. SAP HANA Spatial
• Feature/Setting: Automate “Spatial Engine” query results posting by “XS Advanced Jobs” to RESTful dashboard endpoints.
3.11. Tableau
• Feature/Setting: Use “Tableau REST API”/“Web Data Connector” to ingest and publish spatial results as dashboard data sources.
3.12. Power BI
• Feature/Setting: “Power BI REST API” push dataset endpoint for geospatial layer update; configure with Azure Functions trigger.
3.13. Google Data Studio
• Feature/Setting: Use connector to Google Sheets or BigQuery as middleware; update via analytical tool’s export API.
3.14. Grafana
• Feature/Setting: REST API “Data Source” post for updating map panel data from a satellite analytics service.
3.15. Splunk
• Feature/Setting: Use “HTTP Event Collector” to ingest geospatial data; schedule script to poll analytics API and forward results.
3.16. Monday.com
• Feature/Setting: “Monday API v2” to auto-update board items with fresh analysis field data on result completion.
3.17. Jira
• Feature/Setting: “Jira REST API” auto-create/update issues/tickets with map-based incident data from reporting tool.
3.18. Slack
• Feature/Setting: “Slack Webhook” for posting summary notifications with deep links to dashboard and latest map imagery.
3.19. Microsoft Teams
• Feature/Setting: Use “Incoming Webhook” for channel push of new analysis cycles, with attached dashboard snapshots.
3.20. Notion
• Feature/Setting: “Notion API” upsert/update records in operational tracker table with the latest field condition metrics.
3.21. Trello
• Feature/Setting: “Trello API” card creation with image attachment from satellite insights and automated label/tag assignment.

Benefits

4.1. Real-time field status empowers faster operational decisions and mitigations.
4.2. Reduces manual transfer errors and saves resource time.
4.3. Scales consistently as project or field sizes grow without linear cost.
4.4. Unifies disparate data sources for holistic dashboard visibility.
4.5. Enables early warning and rapid escalation for anomalies or compliance events.