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
Forest Inventory
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
When Tree Rings Go Global: Challenges and Opportunities for Retro- and Prospective Insight
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to …
Flurin Babst
,
Paul Bodesheim
,
Noah Charney
,
Andrew D. Friend
,
Martin P. Girardin
,
Stefan Klesse
,
David J.P. Moore
,
Kristina Seftigen
,
Jesper Björklund
,
Olivier Bouriaud
,
Andria Dawson
,
R. Justin DeRose
,
Michael C. Dietze
,
Annemarie H. Eckes
,
Brian Enquist
,
David C. Frank
,
Miguel D. Mahecha
,
Benjamin Poulter
,
Sydne Record
,
Valerie Trouet
,
Rachael H. Turton
,
Zhen Zhang
,
Margaret E.K. Evans
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DOI
PILOT STUDY ON THE RETRIEVAL OF DBH AND DIAMETER DISTRIBUTION OF DECIDUOUS FOREST STANDS USING CAST SHADOWS IN UAV-BASED ORTHOMOSAICS
Abstract. One fundamental metric to characterize trees and forest stands is the diameter at breast height (DBH). However, the vertical …
Teja Kattenborn
,
J. Hernández
,
J. Lopatin
,
G. Kattenborn
,
F. E. Fassnacht
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DOI
UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS -- TREE STEM MAPPING IN OPEN STANDS IN COMPARISON TO TERRESTRIAL LASER SCANNER POINT CLOUDS
Abstract. In both ecology and forestry, there is a high demand for structural information of forest stands. Forest structures, due to …
A. Fritz
,
Teja Kattenborn
,
B. Koch
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DOI
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