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Nataliia Rehush
Nataliia Rehush
Swiss National Forest Inventory; Swiss Federal Research Institute WSL
Verified email at wsl.ch - Homepage
Title
Cited by
Cited by
Year
Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys
LT Waser, C Ginzler, N Rehush
Remote Sensing 9 (8), 766, 2017
792017
Mapping dominant leaf type based on combined Sentinel-1/-2 data–Challenges for mountainous countries
LT Waser, M Rüetschi, A Psomas, D Small, N Rehush
ISPRS Journal of Photogrammetry and Remote Sensing 180, 209-226, 2021
522021
Individual tree-crown detection and species identification in heterogeneous forests using aerial RGB imagery and deep learning
M Beloiu, L Heinzmann, N Rehush, A Gessler, VC Griess
Remote Sensing 15 (5), 1463, 2023
492023
Identifying tree-related microhabitats in TLS point clouds using machine learning
N Rehush, M Abegg, LT Waser, UB Brändli
Remote Sensing 10 (11), 1735, 2018
452018
Individual tree volume estimation with terrestrial laser scanning: Evaluating reconstructive and allometric approaches
A Bornand, N Rehush, F Morsdorf, E Thürig, M Abegg
Agricultural and Forest Meteorology 341, 109654, 2023
222023
Forest tree species communities identification using multi phenological stages RapidEye data: case study in the forest of Freising
A Elatawneh, A Rappl, N Rehush, T Schneider, T Knoke
From the basics to the service, 21-38, 2013
122013
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests
CR Fol, D Kükenbrink, N Rehush, A Murtiyoso, VC Griess
International Journal of Applied Earth Observation and Geoinformation 122 …, 2023
112023
Area-wide products
C Ginzler, B Price, R Bösch, C Fischer, ML Hobi, A Psomas, N Rehush, ...
Swiss National Forest Inventory–Methods and models of the fourth assessment …, 2019
112019
Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing
N Rehush, LT Waser
Canadian Journal of Forest Research 47 (1), 63-72, 2017
92017
Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images
Z Wang, C Ginzler, B Eben, N Rehush, LT Waser
Remote Sensing 14 (9), 2135, 2022
82022
Low-cost mapping of forest under-storey vegetation using spherical photogrammetry
A Murtiyoso, H Hristova, N Rehush, VC Griess
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
72022
Monocular depth estimation in forest environments
H Hristova, M Abegg, C Fischer, N Rehush
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2022
62022
A review of Software solutions to process Ground-based Point clouds in Forest Applications
A Murtiyoso, C Cabo, A Singh, DP Obaya, W Cherlet, J Stoddart, CR Fol, ...
Current Forestry Reports 10 (6), 401-419, 2024
22024
Особливості розподілу діаметрів різновікових букових деревостанів південно-західного мегасхилу Українських Карпат
НВ Регуш, ЮЙ Каганяк
Збалансоване природокористування, 15-20, 2015
22015
Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR‐species20K dataset
S Puliti, ER Lines, J Müllerová, J Frey, Z Schindler, A Straker, MJ Allen, ...
Methods in Ecology and Evolution, 2025
12025
Completing 3D point clouds of individual trees using deep learning
A Bornand, M Abegg, F Morsdorf, N Rehush
Methods in Ecology and Evolution 15 (11), 2010-2023, 2024
12024
FOR-species20K dataset
S Puliti, E Lines, J Müllerová, J Frey, Z Schindler, A Straker, MJ Allen, ...
Zenodo, 2024
12024
Viewing the Forest in 3D: How Spherical Stereo Videos Enable Low-Cost Reconstruction of Forest Plots
H Hristova, A Murtiyoso, D Kükenbrink, M Marty, M Abegg, C Fischer, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
2024
Baumartenerkennung in Schweizer Mischwäldern mit Deep-Learning-basierter Objekterkennung
M Beloiu Schwenke, Z Xia, E Berger, N Overney, C Reichmuth, N Rehush, ...
WaPlaMa-Infoblatt 2-2024, 2024
2024
Відмерла деревина в букових лісах Південно-Західного мегасхилу українських Карпат
НВ Регуш
Науковий вісник НЛТУ України 25 (2), 79-85, 2015
2015
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