News in 2024
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The primary objective of this webinar is to shed light on how AI technologies can be harnessed to create a more inclusive environment in geospatial professions. We aim to discuss and showcase AI-driven solutions that address challenges, provide opportunities, and contribute to a more diverse and equitable landscape.
AI in Recruitment and Talent Acquisition:
Inclusive Data Representation with AI:
AI-Driven Skill Development:
● Implementing AI-powered
educational tools for skill enhancement.
● Bridging the skill gap through
inclusive learning platforms.
Enhancing Workplace Inclusivity with AI:
Interactive Panel Discussion:
Target Audience:
Dr Lingli Zhu received her doctoral and master’s degrees in the field of Remote Sensing and Photogrammetry from Aalto University in 2015 and 2007, respectively. Currently, she is leading an AI group at the National Land Survey of Finland. She has published around 50 publications, including more than 20 Science Citation Index (SCI) journal papers, as the first author and contributed to three books, one chapter of which has been downloaded more than 3,800 times. She also served as a reviewer and guest editor for many Journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing(TGRS), ISPRS International Journal of Geo-Information, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Sensors. She is specialized in 3D modelling and feature extraction in the fields of photogrammetry, computer vision, laser scanning, machine learning, remote sensing and GIS.
More information about the Task Force
Louise Friis-Hansen
March 2024