Earth observation tools and services to increase the effectiveness of humanitarian assistance

Author:

Lang Stefan1ORCID,Füreder Petra1,Riedler Barbara1,Wendt Lorenz1,Braun Andreas2ORCID,Tiede Dirk1ORCID,Schoepfer Elisabeth3,Zeil Peter4,Spröhnle Kristin3,Kulessa Kerstin5,Rogenhofer Edith5,Bäuerl Magdalena6,Öze Alexander6,Schwendemann Gina1,Hochschild Volker2

Affiliation:

1. Department of Geoinformatics, Z_GIS, University of Salzburg, Salzburg, Austria

2. Institute of Geography, University of Tübingen, Tübingen, Germany

3. German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany

4. Spatial Services GmbH, Salzburg, Austria

5. Médecins Sans Frontières (MSF), Vienna, Austria

6. Austrian Red Cross, Vienna, Austria

Funder

Österreichische Forschungsförderungsgesellschaft

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

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1. Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

3. Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. Deep Learning Powered Non-Local Speckle Filtering of Sentinel-1 Imagery and its Potential for Humanitarian Action;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. A structural catalogue of the settlement morphology in refugee and IDP camps;International Journal of Geographical Information Science;2023-03-27

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