François-Rémi Mazy
François-Rémi Mazy is a PhD student since October 2019 in the STEEP team at the Institut National de Recherche en Informatique et Automatique (INRIA). Attached to the MSTII (Mathematics, Information Science and Technology, Computer Science) doctoral school and the Jean Kuntzmann Laboratory at Grenoble Alpes University, he is under the supervision of Pierre-Yves Longaretti and Emmanuel Prados. His research focuses on land use and cover change models. Land use change is one of the main drivers of global change and is therefore frequently modeled in environmental sciences in order to assess its impacts on ecosystems or its contribution to climate change, and to inform public decision-makers on the potential impacts of land use policies. Numerous land use change models exist but present biases that have been identified in the literature but whose sources of error have not yet been detailed.
A first objective of this thesis is to identify and understand in a comprehensive way the modeling biases present in the existing models. Then, the aim is to formalize a mathematically correct and algorithmically efficient model of land use change. Finally, particular attention is paid to the operationality of the new model so that it can be easily appropriated by the environmental science communities as well as by other subjects of the STEEP team.
The new land use change model is called Clumpy for Comprehensive Land Use Model in Python.
Keywords : land use, cover change, modelling
In progress :
- F.R. Mazy, P.Y. Longaretti, “Land use and cover change probabilities estimation through kernel densities for spatially explicit LUCC modelling”
- P.Y. Longaretti, F.R. Mazy, “Allocation biases in spatially explicit statistical LUCC modelling”
- F.R. Mazy, P.Y. Longaretti, “Optimized allocation algorithms for spatially explicit statistical LUCC modelling”
Contact :
| INRIA Rhône-Alpes, 655 avenue de l’Europe, 38330 Montbonnot, France francois-remi.mazy[at]inria.fr |  |