Farm Paddock Monitoring Using Satellite Imagery
A web based paddock monitoring system using multi year Sentinel-2 satellite imagery to track vegetation condition, moisture stress, and surface water at paddock scale.
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Overview
This project focuses on building a practical paddock monitoring system for land managers using freely available satellite imagery.
Description
The application allows users to draw and manage paddock boundaries on an interactive map and process up to five years of Sentinel-2 imagery per paddock. Weekly time series dashboards provide insight into vegetation condition, moisture stress, and surface water, with clear seasonal context and freshness indicators.
The system emphasises fast decision support through client side geospatial processing, tiled overlays, and offline tolerant caching. This reduces backend complexity while still enabling farm wide comparisons and early detection of change.
The main challenge has been the computational cost and processing time required for large imagery datasets. Ongoing work is focused on improving performance and deployment readiness.