Maria Solis standing in a sugarcane field

Agricultural economics, spatial analysis and data analytics

WRF/GFS/ERA5 climate and evapotranspiration (ETo) modelling, remote sensing and GIS for climate and irrigation risk in Australian agriculture, backed by a PhD in agricultural economics. Based in Queensland, Australia.

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  • 2026 ASSCT President's Medal
  • PhD Agricultural Economics (UWA)
  • Former Canegrowers Extension Officer
  • Published at AARES, ASSCT, IGARSS & EGU
  • International research collaboration: Ecuador · Iceland · USA

AgroSol is a small practice built around my climate and spatial research. I combine numerical weather prediction, remote sensing and GIS with a background in agricultural and environmental economics to help people understand climate and water risk, and I turn complex analysis into clear, practical findings.

What I do

Climate & ETo modelling

WRF/GFS/ERA5-based weather and reference evapotranspiration (ETo) forecasting, and classification of regional ‘ETo climates’.

Climate & irrigation risk

Climate and water risk analysis for irrigation and seasonal planning in Australian agriculture.

Spatial analysis for councils

I provide spatial analysis and remote sensing for local governments and regional councils, starting in Queensland and available Australia-wide. The aim is clear, defensible maps and data that support planning, reporting and climate adaptation.

Climate & flood-risk mapping

Mapping support for climate and flood-risk assessment, adaptation planning and reporting.

Land use & vegetation

Land use and land cover change, vegetation and canopy mapping, and agricultural land mapping.

Drought & water risk

Drought, water and irrigation risk analysis using climate, evapotranspiration and remote sensing data.

Time series & map products

Remote sensing time series, GIS data analysis, and map products for planning and reporting.

Have a climate, water or spatial question?

Whether you're a council, research team or project group, tell me about your question, region and timeframe, and let's work out how climate and spatial data can answer it.

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