DeepTrees Symposium: Deep Learning and Remote Sensing in Tree Monitoring

Session

Potential use cases

2 Dec 2024, 13:30

Halle 1 CD (KUBUS)

Description

This session invites forward-looking presentations discussing the real-world applications of DeepTrees. Potential speakers are encouraged to submit sessions on:

• Enhancing urban forestry management and ecosystem service modelling using tree crown data.
• Potential of DeepTrees for improving biodiversity assessments and carbon storage estimations.
• Innovative and novel use cases for DeepTrees in environmental monitoring and conservation projects.

9. Characterizing the high latitudinal treeline ecotone using multi-source remote sensing data

Session 3

The term treeline refers to the climatic limit of tree growth, occurring where seasonalmean temperatures decline to around 6 °C with a growing season of at least 3months (Körner 2020). Thereby, the treeline defines the boundary of the tree as a lifeform. However, treelines are shaped by various environmental factors and appear indifferent forms, typically classified as diffuse, abrupt, islands...

4. Using AI to detect and identify tree species from satellite images in Hawaii

Session 3

The application of artificial intelligence (AI) in ecology presents significant opportunities for enhancing biodiversity monitoring and informing conservation efforts, particularly in tropical regions. This project aims to apply the DeepTrees pipelines to a tropical setting at two spatial scales.

First, at a large scale, we aim to identify key species of interest for restoration and...