Stefanie Lumnitz

• MSc
• EO Application Scientist at European Space Agency

We will share our experience and lessons learned in choosing, training and deploying deep learning models for single urban tree detection, localization and classification using street-level imagery. Drawing on our case study of Canada-wide urban tree mapping, we provide guidance on questions such as: what to think about when choosing a Deep Learnin...

Planning and managing urban forests for livable cities remains a challenge worldwide owing to sparse information on the spatial distribution, structure and composition of urban trees and forests. National and municipal sources of tree inventory remain limited due to a lack of detailed, consistent and frequent inventory assessments. Despite advancem...

PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more...

Recent years have seen a tremendous increase of digital Earth Observation (EO) infrastructures, which provide web-based environments for accessing and processing data in a highly automated and scalable way. However, the current landscape of EO infrastructures and initiatives is fragmented, with various levels of user on-boarding and uptake success....

Planning and managing urban trees and forests for livable cities remains an outstanding challenge worldwide owing to scarce information on their spatial distribution, structure and composition. Sources of tree inventory remain limited due to a lack of detailed and consistent inventory assessments. In practice, most municipalities still perform labo...

Biological invasions represent an increasing threat to ecosystems worldwide, with negative ecological and socio-economic impacts, whereas risk assessment and management remain challenging. The development of decision support systems (DSS) has the potential to help decision-makers and managers mitigate invasive species, but few DSS exist for forest...

This article summarises recent advances in methods for extracting hydrological features such as channel networks from light detection and ranging (LiDAR) derived terrain data. These techniques have the potential to support forest managers seeking to better plan and monitor compliance with emerging environmental standards like the National Policy St...

Improving freshwater quality and controlling erosion risk are key goals of New Zealand's new freshwater management policy regime. Shallow landslides on steep hill country under planted forests are one of the country's main contributors to sedimentation of waterways. At present, national data sources lack relevant quantitative landslide measurements...