Justin F Moat

Senior Research Leader

Justin Moat

Ecosystem Stewardship


Spatial Analysis and Data Science


Spatial analysis, remote sensing, unmanned aerial vehicles (UAVs, aka drones), species modelling, biogeography and conservation.

I am the research leader for Spatial Analysis within the Informatics and Spatial Analysis Science directorate. My role is to lead spatial analysis at Kew, which covers both GIS (Geographic Information Science) and remote sensing, providing a scientific and spatial interface for Kew’s work in conservation, taxonomy, systematics and phytogeography. I have specialist expertise and interests in spatial modelling, Web mapping, vegetation mapping, conservation assessments and the use of Unmanned Aerial Vehicle (UAVs) for mapping and monitoring of the environment. My key project for 2016/2017 is  'Building a climate resilient coffee economy for Ethiopia', which use species modelling, climate modelling and vegetation mapping to improve the capacity of Ethiopia’s coffee production in deal with climate change.

  • MSc, University College London, 1996
  • BSc, University College London, 1992

Moat, J., Williams, J., Baena, S., Wilkinson, T., Gole, T.W., Challa, Z.K., Demissew, S., & Davis, A.P. (2017).

Resilience potential of the Ethiopian coffee sector under climate change.

Nature Plants 3: 17081.

Moat, J., Williams, J., Baena, S., Wilkinson, Demissew, S., Challa, Z.K., T., Gole, T.W. & Davis, A.P. (2017).

Coffee Farming and Climate Change in Ethiopia: Impacts, Forecasts, Resilience and Opportunities.

Summary Report 2017. The Strategic Climate Institutions Programme (SCIP).

Royal Botanic Gardens, Kew (UK). Pp. 37.

Bachman, S., Moat, J., Hill, A., de la Torre, J. & Scott, B. (2011).

Supporting Red List threat assessments with GeoCAT: Geospatial Conservation Assessment Tool.

Zookeys 150:117-126. 

Moat, J. & Smith, P (2007)

Atlas of the Vegetation of Madagascar.

Royal Botanic Gardens, Kew. London, UK

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