Miguel Arias is a PhD candidate, at University of Northern British Columbia. Miguel is an Engineer, with a Master degree in Geomatics. His research experience has focused on the development of spatial analysis for a better understanding of environmental processes and deforestation, with the application of cutting edge techniques such as: spatial regressions, land use and land cover change models, geostatistics and machine learning. His overarching goal is to contribute to the development of effective solutions to environmental problems informed by spatial and analytic methods.
Miguel’s current research is to improve upon human footprint and wilderness mapping, by downscaling analyses to a province scale for BC, integrating uncertainty and sensitivity analyses
Sessions in which Miguel Arias participates
Tuesday 29 October, 2024
Session Human footprint datasets for Canada: mapping and monitoring in support of land and resource managementHuman activities have disturbed biodiversity, ecosystems, and ecological processes over the last century. Given the growing trends of habitat loss and biodiversity decline, understanding patterns of human pressures has become a crucial element of conservation planning. In this context, cumulative pressure mapping is used to quantify the extent and intensity of multiple pressure...
Sessions in which Miguel Arias attends
Monday 28 October, 2024
In this virtual workshop, you will fine-tune a pretrained model from the ArcGIS Living Atlas of the World collection and apply it to high-resolution imagery to efficiently detect and classify objects in ArcGIS Pro. Participants will gain hands-on experience in adjusting the deep learning model parameters to enhance its accuracy and performance for specific use cases. Additionally, you will learn advanced techniques for data preprocessing, prepare training samples, and model evaluation, ensuri...
