Institutskolloquium Physische Geographie

Durchsuchen Sie alle Beiträge in der Kategorie Institutskolloquium Physische Geographie.

1 bis 6 von 18

18MAI 2026
Aktuelles
Forschungskolloquium PG: Deep Learning for Supraglacial Lake Segmentation in the Karakoram. – Mi. 24.06.2026
Physisch-geographisches Kolloquium (PG): Deep Learning for Supraglacial Lake Segmentation in the Karakoram. Nicolas Munoz (International Doctorate Programme: Measuring and Modelling Mountain glaciers and ice caps in a Changing ClimAte (M³OCCA)) Moderation: Prof. Dr. Matthias Braun Supraglacial lakes are bodies of water that form on a glacier’s surface and influence glacier mass balance through ablation as […]Physisch-geographisches Kolloquium (PG): Deep Learning for Supraglacial Lake Segmentation in the Karakoram. Nicolas Munoz (International Doctorate Programme: Measuring and Modelling Mountain glaciers and ice caps in a Changing ClimAte (M³OCCA)) Moderation: Prof. Dr. Matthias Braun Supraglacial lakes are bodies of water that form on a glacier’s surface and influence glacier mass balance through ablation as […]
Mehr lesen über Forschungskolloquium PG: Deep Learning for Supraglacial Lake Segmentation in the Karakoram. – Mi. 24.06.2026
13MAI 2026
Aktuelles zur Lehre
Forschungskolloquium PG: ERASMUS+ Visiting Researchers from Iran and Nepal – Mi. 03.06.2026
Physisch-geographisches Kolloquium (PG): Trees in Iranian Vegetation Regions based on different climate situation (an overview) Prof. Dr. Kambiz Pourtahmasi (Faculty of Natural Resource, University of Tehran, Iran) Moderation: Prof. Dr. Achim Bräuning Iran is located in Middle East and is among Low Forest Cover (forest less than 10 percent of total area) countries. However, it […]
Mehr lesen über Forschungskolloquium PG: ERASMUS+ Visiting Researchers from Iran and Nepal – Mi. 03.06.2026
23APR. 2026
Aktuelles zur Lehre
Forschungskolloquium PG: Classification of Debris Glacier using Machine Learning and Deep Learning on High-resolution Imagery. – Mi. 29.04.2026
Physisch-geographisches Kolloquium (PG): Classification of Debris Glacier using Machine Learning and Deep Learning on High-resolution Imagery Prof. Dr. Aftab Khan & Syed Najam Hassan (Karakorum International University) Moderation: Prof. Dr. Matthias Braun Prof. Dr. Aftab Khan: Deep Learning-Based Fine-Grained Classification of Debris-Covered Glaciers Using UAV Imagery Debris-covered glaciers pose a significant classification challenge due to […]Physisch-geographisches Kolloquium (PG): Classification of Debris Glacier using Machine Learning and Deep Learning on High-resolution Imagery Prof. Dr. Aftab Khan & Syed Najam Hassan (Karakorum International University) Moderation: Prof. Dr. Matthias Braun Prof. Dr. Aftab Khan: Deep Learning-Based Fine-Grained Classification of Debris-Covered Glaciers Using UAV Imagery Debris-covered glaciers pose a significant classification challenge due to […]
Mehr lesen über Forschungskolloquium PG: Classification of Debris Glacier using Machine Learning and Deep Learning on High-resolution Imagery. – Mi. 29.04.2026
22APR. 2026
Aktuelles zur Lehre
Forschungskolloquium PG: Using Remote Sensing for Arctic tundra conservation planning. – Mi. 20.05.2026
Physisch-geographisches Kolloquium (PG): Using Remote Sensing for Arctic tundra conservation planning PhD Antonia Ludwig (Leipzig University | Remote Sensing in Geo-& Ecosystem Research) Moderation: Prof. Dr. Matthias Braun My work focuses on integrating remote sensing and machine learning to support ecological monitoring in Arctic tundra ecosystems. I use convolutional neural networks trained onhyperspectral data to […]Physisch-geographisches Kolloquium (PG): Using Remote Sensing for Arctic tundra conservation planning PhD Antonia Ludwig (Leipzig University | Remote Sensing in Geo-& Ecosystem Research) Moderation: Prof. Dr. Matthias Braun My work focuses on integrating remote sensing and machine learning to support ecological monitoring in Arctic tundra ecosystems. I use convolutional neural networks trained onhyperspectral data to […]
Mehr lesen über Forschungskolloquium PG: Using Remote Sensing for Arctic tundra conservation planning. – Mi. 20.05.2026
27JUNI 2025
Aktuelles
Forschungskolloquium PG: Reconstruction of Past Hydroclimate Variability in Iran from a Multi-Centennial and Multi-Parameter Juniper Tree-Ring Network. – Mi. 23.07.2025
Physisch-geographisches Kolloquium (PG): Reconstruction of Past Hydroclimate Variability in Iran from a Multi-Centennial and Multi-Parameter Juniper Tree-Ring Network Dr. Zeynab Foroozan (Institut für Geographie, FAU Erlangen-Nürnberg) Moderation: Prof. Dr. Achim Bräuning Understanding how ecosystems respond to long-term climate variability is essential, especially in regions increasingly affected by drought and water scarcity. Iran has a long […]Physisch-geographisches Kolloquium (PG): Reconstruction of Past Hydroclimate Variability in Iran from a Multi-Centennial and Multi-Parameter Juniper Tree-Ring Network Dr. Zeynab Foroozan (Institut für Geographie, FAU Erlangen-Nürnberg) Moderation: Prof. Dr. Achim Bräuning Understanding how ecosystems respond to long-term climate variability is essential, especially in regions increasingly affected by drought and water scarcity. Iran has a long […]
Mehr lesen über Forschungskolloquium PG: Reconstruction of Past Hydroclimate Variability in Iran from a Multi-Centennial and Multi-Parameter Juniper Tree-Ring Network. – Mi. 23.07.2025
23MAI 2025
Aktuelles
Forschungskolloquium PG: Humans and their environment under extreme conditions – new evidence from the last ice age of Central Europe. – Mi. 16.07.2025
Physisch-geographisches Kolloquium (PG): Humans and their environment under extreme conditions – new evidence from the last ice age of Central Europe PD Dr. Christoph Mayr (Institut für Geographie, FAU Erlangen-Nürnberg) Moderation: Prof. Dr. Achim Bräuning The climatic conditions during the last glacial were more variable than is generally assumed. Warmer interstadial periods alternated with cooler […]Physisch-geographisches Kolloquium (PG): Humans and their environment under extreme conditions – new evidence from the last ice age of Central Europe PD Dr. Christoph Mayr (Institut für Geographie, FAU Erlangen-Nürnberg) Moderation: Prof. Dr. Achim Bräuning The climatic conditions during the last glacial were more variable than is generally assumed. Warmer interstadial periods alternated with cooler […]
Mehr lesen über Forschungskolloquium PG: Humans and their environment under extreme conditions – new evidence from the last ice age of Central Europe. – Mi. 16.07.2025