RMA Platform
Rangeland Metrics and Analytics - a scalable platform built by RCS.
RMA combines satellite monitoring, field calibration, AI Rangeland Evaluation and practical decision support to help farmers, institutions and landscape partners monitor grass resources, bush resources and rangeland condition over time.
The rangeland data problem
Too little objective field data
Rangeland monitoring often relies on few field observations spread over vast areas, limiting accuracy and representativeness.
Difficult to monitor change over time
Inconsistent methods and sparse data make it hard to detect trends and evaluate interventions reliably.
High cost of traditional monitoring
Extensive field campaigns are time consuming and expensive, restricting coverage and reducing monitoring frequency.
How RMA works
1. Satellite Monitoring
High-resolution satellite data tracks vegetation cover, biomass and rangeland condition at scale and over time.
2. Field Calibration
Targeted field data validates satellite signals and improves accuracy over time across different ecosystems.
3. AI Rangeland Evaluation
AI-assisted rangeland evaluation is one of several layers that let RMA scale. Alongside satellite monitoring, rainfall context and field calibration, structured geo-referenced photos from farmers and field teams expand data collection at lower cost — improving calibration and trend detection over time.
4. Decision Support
Integrated analytics and reporting turn data into actionable insights for better management and investment decisions.
AI Rangeland Evaluation allows structured farmer and field-team photos to expand data collection at radically lower cost.
AI Rangeland Evaluation
Farmers and field teams submit structured, geo-referenced rangeland photos. AI analyses these photos for indicators such as cover, visible grass condition, woody presence, bare ground, scene validity and general rangeland context. This lowers the cost of data collection dramatically while increasing monitoring points and improving calibration over time.
What the farmer gets
Simple photo capture guidance;feedback on rangeland condition;insights to inform management and stocking decisions.
What RMA gains
More monitoring points, better calibration, stronger trend detection and lower cost per data point.
Current outputs and future direction
Grass monitoring outputs
Maps and trends of grass cover, biomass and productivity by season and landscape.
Bush quantification outputs
Woody cover, density and structure maps to support sustainable bush management.
Farm reports and trends
Custom reports with key indicators, trend analysis and benchmarking at farm level.
Future stocking and economic models
Integrating rangeland metrics with stocking and economic models to estimate productivity and financial outcomes.
Suitable pilot structure
1. Select farms or landscapes
Define pilot scope, select participating farms or landscapes and agree on objectives.
2. Collect satellite + field + photo data
Combine satellite monitoring, field calibration and structured photos to build a robust, cost effective dataset.
3. Deliver reports, insights and learning
Provide actionable reports, insights and
continuous learning to improve management and scale impact.