Integration of satellite/drone data for field monitoring

Purpose

1. Automate the ingestion, processing, and distribution of satellite/drone imagery for continuous ranch field monitoring and health assessment.

2. Enable automated detection of crop stress, pest infestations, waterlogging, and growth stage using real-time data feeds.

3. Automate the generation and distribution of actionable reports and alerts for ranch managers, optimizing resource allocation and response timing.

4. Facilitate automated decision-making for irrigation, fertilization, and harvesting by integrating remote sensing data with management systems.

5. Enable automated archiving of geospatial datasets for trend analysis, compliance, and insurance documentation purposes.

Trigger Conditions

1. New satellite/drone image is uploaded to a cloud storage or specialized image repository.

2. Predefined intervals for scheduled field monitoring (e.g., daily, weekly automated scans).

3. Anomaly detected in vegetation indices or NDVI data via automated analysis.

4. Manual trigger by ranch manager for on-demand drone survey.

5. Completion of field activity or planned operation requiring post-operation monitoring.

Platform Variants

1. Planet Labs

• Feature/Setting: Automate asset retrieval via Planet API's 'data' endpoint; scheduled trigger for new scene collections.

2. AWS Lambda

• Feature/Setting: Automating post-upload image analysis via S3 event trigger and custom Lambda function.

3. Google Earth Engine

• Feature/Setting: Automate remote sensing analysis with scripted workflows; GEE 'ImageCollection' functions for vegetation indices.

4. DJI Terra

• Feature/Setting: Automate drone imagery import and processing via SDK and 'mission planning' API.

5. Microsoft Azure Maps

• Feature/Setting: Automate satellite data integration using Map Data Upload REST API.

6. Sentinel Hub

• Feature/Setting: Automate EO data retrieval via OGC API & Processing API's 'evalscript' function.

7. DroneDeploy

• Feature/Setting: Automate field map generation via API's 'Plan Creation' and 'Data Export' endpoints.

8. Esri ArcGIS Online

• Feature/Setting: Automate image layer updates using REST API's 'Add Item' and 'Update Data' functions.

9. Pix4D

• Feature/Setting: Automate orthomosaic production via Pix4Dcloud API 'Start Processing' call.

10. IBM Watson Visual Recognition

• Feature/Setting: Automate stress/pest image detection with pre-trained model scoring endpoint.

11. SAP Leonardo IoT

• Feature/Setting: Automate data pipeline using Leonardo IoT 'Event' and 'Integration' services.

12. Google Cloud Storage

• Feature/Setting: Automate storage and retrieval using Storage 'objectChange' triggers and Cloud Functions.

13. Agisoft Metashape

• Feature/Setting: Automate image alignment/DEM generation via Python Scripting API.

14. Airbus OneAtlas

• Feature/Setting: Automate high-res scene ordering and delivery with Data 'Search and Download' API.

15. Mapbox

• Feature/Setting: Automate custom map rendering with Mapbox API's 'Tilesets' and 'Datasets'.

16. Slack

• Feature/Setting: Automate push notification of processed reports via Incoming Webhooks.

17. OpenCV

• Feature/Setting: Automate image preprocessing/segmentation via custom Python/C++ functions.

18. Zapier

• Feature/Setting: Automate workflows for image file monitoring and multi-service triggers.

19. Azure Logic Apps

• Feature/Setting: Automate workflow orchestration for end-to-end data processing pipelines.

20. SMSGlobal

• Feature/Setting: Automate SMS alerts to ranch staff when threshold conditions are detected.

Benefits

1. Automates consistent, unbiased field monitoring to reduce manual routine checks.

2. Enables near real-time decision support by automating remote sensing analytics delivery.

3. Automates notifications for early warning of crop/ranch issues using precision geospatial datasets.

4. Automates historical data archiving for improved regulatory and compliance tracking.

5. Streamlines operational workflows by automating multi-platform data integration and reporting.