RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
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Remote Sensing Department at the UFZ
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Data
Tree Species Classification
Mapping Forest Tree Species in High Resolution UAV-based RGB-imagery by Means of Convolutional Neural Networks
The use of unmanned aerial vehicles (UAVs) in vegetation remote sensing allows a time-flexible and cost-effective acquisition of very …
Felix Schiefer
,
Teja Kattenborn
,
Annett Frick
,
Julian Frey
,
Peter Schall
,
Barbara Koch
,
Sebastian Schmidtlein
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DOI
An Adaptable Approach for Pixel-Based Compositing and Crop Type/Tree Species Mapping
We present a novel approach for detailed crop type and tree species classification exploiting high spatio-temporal resolution …
Sebastian Preidl
,
Maximilian Lange
,
Daniel Doktor
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DOI
The Use of Airborne Hyperspectral Data for Tree Species Classification in a Species-Rich Central European Forest Area
The success of remote sensing approaches to assess tree species diversity in a heterogeneously mixed forest stand depends on the …
Ronny Richter
,
Björn Reu
,
Christian Wirth
,
Daniel Doktor
,
Michael Vohland
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DOI
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