Field campaign in Côte d’Ivoire by a Ph.D. student of the Department of Remote Sensing

Field campaign in Côte d’Ivoire by a Ph.D. student of the Department of Remote Sensing

March 9, 2022

In November 2021, Dan Kanmegne Tamga, a Ph.D. student within the WASCAL-DE-Coop project at the Department of Remote Sensing at the University of Würzburg, went for a field campaign to Côte d’Ivoire, West Africa. Dan Kanmegne Tamga is working on estimating carbon sequestration in agroforestry systems.

The objective of his field campaign was to collect biometric parameters of trees. Using allometric equations, the parameters collected by him in situ (e.g., diameter and height) are used to derive the aboveground biomass (AGB).

Côte d’Ivoire is the world’s largest producer of cocoa beans, where cocoa plantations are established at the expense of forest. Because of the contribution of deforestation and forest degradation to climate change, AGB needs to be monitored in Côte d’Ivoire.

In the same period, Dan Kanmegne Tamga attended the AfricaGIS (EIS-AFRICA) conference held in Abidjan between 22 – 26 November. He presented the results of his study on modeling the spatial distribution of the classification error in agroforestry systems in Côte d’Ivoire. This research was funded by the German Federal Ministry of Education and Research (BMBF) with the technical support of the World Agroforestry Centre (ICRAF, Côte d’Ivoire).

Ph.D. student Dan Kanmegne Tamga at the AfricaGIS in November 2021.

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