Â鶹ÊÓƵ

I am passionate about developing solutions for land-cover/land-use problems impacting end-users across the globe. I use optical and radar remote sensing in combination with Python to create such solutions. My current research projects comprise:

• Mapping agriculture across Nigeria to understand the ideal locations for renewable energy units.
• Evaluating whether the spectral signature of Wheat affected by the Wheat Blast fungal pathogen, Magnaporthe oryzae, can be scaled to the remote sensing scale, enabling efficient mapping of the disease.
• Mapping the deforestation footprint of oil palm in tropical forests (South America, Central Africa and South-East Asia)

Dalagnol, R., Wagner, FH., Galvão, LS., Braga, D., Osborn, F., da Conceição Bispo, P., Payne, M., Junior, CS., Favrichon, S., Silgueiro, V. 2023. Mapping tropical forest degradation with deep learning and Planet NICFI data. Remote Sensing of Environment, 298, 113798, 

Naciri, W., Boom, A., Payne, M., Browne, N., Evans, NJ., Holdship, P., Rankenburg, K., Nagarajan, R., McDonald, B., McIlwain, J. 2023, Massive corals record deforestation in Malaysian Borneo through sediments in river discharge. Biogeosciences, 20, 1587-1604, 

Cole, B., Smith, G., de la Barreda-Bautista, B., Hamer, A., Payne, M., Codd, T., Johnson, S., Chan, LK., Balzter, H. 2022, Dynamic landscapes in the UK driven by pressures from energy production and forestry—Results of the CORINE Land Cover map 2018. Land, 11, 192, 

Payne, M. 2021, Satellite remote sensing of deforestation for oil palm. Nature Reviews Earth & Environment, 2, 230-230,