Juan Pablo Ramirez-Delgado
Juan is currently working as a research assistant at the Geospatial Centre of Biodiversity Pathways, located at the University of Northern British Columbia. His research interests span landscape ecology, biodiversity conservation, and the integration of science with policy and practice. For his PhD, Juan is looking at the impacts of human pressure on habitat fragmentation and its relation to species extinction risk at a global scale. Previously, he was a senior researcher for the National Forest and Carbon Monitoring System of Colombia, focusing on forest degradation monitoring using remote sensing and field data. During his master's studies, he assessed the impacts of deforestation and fragmentation of seasonal tropical forests in the southern Yucatán, Mexico, using remote sensing data. Juan is passionate about utilizing tools to better understand human-environment relationships affecting biodiversity patterns and ecological processes, aiming to provide actionable information for policymakers and practitioners.
Sessions in which Juan Pablo Ramirez-Delgado participates
Tuesday 29 October, 2024
Regional and provincial conservation efforts require detailed human pressure mapping to manage and mitigate human impacts effectively. However, in the province of British Columbia (BC), existing efforts to map human pressures have faced significant challenges, particularly in adequately capturing their full extent. The Geospatial Centre of Biodiversity Pathways at the University of Northern British Columbia, in collaboration with the West Moberly First Nations and the Alberta Biodiversity Mon...
Sessions in which Juan Pablo Ramirez-Delgado attends
Monday 28 October, 2024
We are excited to announce that the next Canada Forum will be held during the GoGeomatics Expo in Calgary, from October 28th to 30th. This event will bring together key stakeholders from across Canada’s geospatial sector, including industry leaders, academics, indigenous communities, government representatives, and technologists, to continue vital discussions on advancing geospatial standards, interoperability, and spatial data infrastructure (SDI) in Canada.
We are excited to announce that the next Canada Forum will be held during the GoGeomatics Expo in Calgary, from October 28th to 30th. This event will bring together key stakeholders from across Canada’s geospatial sector, including industry leaders, academics, indigenous communities, government representatives, and technologists, to continue vital discussions on advancing geospatial standards, interoperability, and spatial data infrastructure (SDI) in Canada.
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...
Wednesday 30 October, 2024
With drones like the DJI Matrice 300 now being positioned using RTK GNSS, combined with Structure from Motion (SfM), high precision mosaics are possible without deploying targets. The ability to mount lidars (DJI L1 and L2) and other optical sensors (RGB, multispectral, thermal) allows for precise surveying and the production of high resolution and high accuracy mosaics with minimal ground control. While battery power still remains an issue and the limiting factor for flight duration (10’s of...
As the drone industry is increasingly focuses on developing larger airframes and equipping them with bigger sensors, Spexi is taking a revolutionary approach to aerial imagery. At Spexi, we believe that the future of geospatial data collection lies not in size and complexity, but in numbers and standardization. The Spexi platform leverages the power of crowdsourcing, deploying local pilots with small drones to capture standardized imagery across entire cities. This method allows us to achieve...
