Workshop Report at the Department of Remote Sensing – May 18, 2022

Workshop Report at the Department of Remote Sensing – May 18, 2022

May 4, 2022

We are glad to announce our next workshop report at the Department of Remote Sensing. On the 18th of May, Sebastian Förtsch and colleagues from the department raise the questions “Do we see trees? – If so, how many?“.

Abstract

Forests and tree stands are explicitly linked to the Sustainable Development Goal 15, as formulated by the United Nations, to “protect, restore and promote sustainable use of terrestrial ecosystems, sustainably managed forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss”. This outlines the importance of these essential ecosystems with their inestimable services, such as reducing the atmospheric carbon stock, balancing local and regional climates, or regulating the heat on the earth’s surface. Forests’ stability depends on the existing biodiversity in forests; tree species information can be seen as a proxy for biodiversity and is also needed in forest management, change assessment, or in the field of bio-medicine to determine pollen sources. However, collecting data is enormously labor and cost-intensive and impossible to realize in large areas. Since the beginning of the Landsat mission, space-borne remote sensing (RS) offers capabilities for vegetation monitoring, steadily increasing the quality of methods and data in this field. The Copernicus program of the European Space Agency started a new era in the field of RS. Especially the Sentinel-2 fleet with its two multispectral measurement units delivers free data in high spatial and temporal resolution, which provide a meaningful source for the modeling of tree species. But there are still pitfalls that need to be addressed, especially when the goal is classifying tree stands in large areas. One major difficulty when working with optical data is caused by atmospheric conditions that disturb the view on forests or make it impossible in cloudy conditions. Furthermore, the absence of consistent in-situ information on tree species in large geographic extents is challenging. With our study, we aim to present a workflow to gain information for improving classifications by utilizing monthly Sentinel-2 composites together with different in-situ datasets in the biosphere reserve Rhoen, and their behavior by applying established classification methods.

Title of presentation: Do we see trees? – If so, how many? Author: Sebastian Förtsch*, Steven Hill, and Insa Otte (all from the Department of Remote Sensing, University of Würzburg), *presenter

Date: Wednesday, 18th of May, 2022 Time: 10 – 11 a.m. s.t. (GMT+2) Place: Online Presentation language: English Slides: English

follow us and share it on:

you may also like:

Successful MSc Defense by Christina Krause

Successful MSc Defense by Christina Krause

Congratulations to our EAGLE student Christina Krause, who successfully defended her MSc thesis titled "Active Learning and Parameter-Efficient Feature Adaptation for Cross-City Seismic Building Type Transfer Using DINOv2 and Street-Level Imagery" on November 12,...

Successful MSc Defense by Marlene Bauer

Successful MSc Defense by Marlene Bauer

Congratulations to our EAGLE student Marlene Bauer, who successfully defended her MSc thesis titled "Robust and Uncertainty-Aware Informal Settlement Mapping – Cross-City Generalisation Across Diverse Urban Morphologies Using High-Resolution Satellite Imagery in...

Help Us Understand Ticks: Join the MONID HABITRACK Study

Help Us Understand Ticks: Join the MONID HABITRACK Study

Lyme borreliosis and tick-borne encephalitis (TBE) are the most common tick-borne diseases in Germany, and they are becoming more relevant. Many infections go unnoticed because they cause mild symptoms or none at all. The MONID HABITRACK project, funded by the BMFTR,...

Setting Up for the 2nd EO4CAM Nutzerworkshop

Setting Up for the 2nd EO4CAM Nutzerworkshop

Right now our staff are busy hauling cases, mounting displays and testing every cable for the 2nd EO4CAM Nutzerworkshop, “Erdbeobachtung für die Klimaanpassung, behördliche Akteure in Bayern”. The doors open tomorrow, and the exhibition...

A dashboard for multi-UAS thermal data

A dashboard for multi-UAS thermal data

Mapping an active fire with various drones flying in parallel is hard enough. But getting the data processed, evaluated and turned into research datasets is a different story. The publication is on its way, and for now we’d like to share a dashboard by Antonio José...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This