author:"Frey, Julian" | Pollux - Fachinformationsdienst Politikwissenschaft

Article(electronic)#1December 2020

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

In: ISPRS journal of photogrammetry and remote sensing: official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), Volume 170, p. 205-215

Schiefer, Felix; Kattenborn, Teja; Frick, Annett; Frey, Julian; Schall, Peter; Koch, Barbara; Schmidtlein, Sebastian

ISSN: 0924-2716

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Article(electronic)#2

Structural Elements Enhanced by Retention Forestry Promote Forest and Non-Forest Specialist Bees and Wasps

In: FORECO-D-22-01765

Rappa, Nolan James; Staab, Michael; Ruppert, Laura-Sophia; Frey, Julian; Bauhus, Jürgen; Klein, Alexandra-Maria

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Article(electronic)#3April 2024

Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning

In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 219, p. 108785

Ecke, Simon; Stehr, Florian; Frey, Julian; Tiede, Dirk; Dempewolf, Jan; Klemmt, Hans-Joachim; Endres, Ewald; Seifert, Thomas

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Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

Structural Elements Enhanced by Retention Forestry Promote Forest and Non-Forest Specialist Bees and Wasps

Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning

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Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

Structural Elements Enhanced by Retention Forestry Promote Forest and Non-Forest Specialist Bees and Wasps

Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning

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