Dr. Nataliia Rehush

Function

Technical staff member

Forest Resources and Management

Scientific Service NFI

Contact

nataliia.rehush(at)wslto make life hard for spam bots.ch

+41 44 739 25 52+41 44 739 25 52

Swiss Federal Research Institute WSL
Zürcherstrasse 111
8903 Birmensdorf

Site

Birmensdorf Bi HP D 68

FURTHER INFORMATION

Projects

Countrywide Tree Type Mapping from Remote Sensing Surveys

Regularly updated information on the state, change and distribution of tree types (broadleaved and coniferous tree) is essential for forest related studies. The first data set consists of ADS80 aerial imagery. The follow-up product is currently being optimized using Sentinel satellite data.

Assessing tree stem structures using terrestrial LiDAR

The objective of this project is to develop an approach for assessing the ecological value of a tree stem using terrestrial laser scanning (TLS).

Beurteilung von Schutzwäldern mittels Fernerkundung

Ziel dieses LFI-Projektes ist es, Methoden der Fernerkundung zur Beurteilung der aktuellen Schutzwirkung und Verjüngung von Schutzwäldern zu entwickeln. Im Fokus stehen die Möglichkeiten von terrestrischem (TLS) und flugzeuggestütztem Lasesscanning (ALS).

Terrestrial laserscanning for forest inventories

We evaluate the applicability of terrestrial Laserscanning for forest inventories. For an efficient and detailed analysis we use simulations of forests and LiDAR systems.

Publications WSL

Scientific publication article peer reviewed

Beloiu, M.; Heinzmann, L.; Rehush, N.; Gessler, A.; Griess, V.C., 2023: Individual tree-crown detection and species identification in heterogeneous forests using aerial RGB imagery and deep learning. Remote Sensing, 15, 5: 1463 (17 pp.). doi: 10.3390/rs15051463

Wang, Z.; Ginzler, C.; Eben, B.; Rehush, N.; Waser, L.T., 2022: Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images. Remote Sensing, 14, 9: 2135 (22 pp.). doi: 10.3390/rs14092135

Murtiyoso, A.; Hristova, H.; Rehush, N.; Griess, V.C., 2022: Low-cost mapping of forest under-storey vegetation using spherical photogrammetry. In: Nüchter, A.; Grussenmeyer, P.; Kersten, T. (eds), 2022: ISPRS TC II. 7th international workshop LowCost 3D - sensors, algorithms, applications. 7th international workshop LowCost 3D - sensors, algorithms, applications, Würzburg. 185-190. doi: 10.5194/isprs-archives-XLVIII-2-W1-2022-185-2022

Hristova, H.; Abegg, M.; Fischer, C.; Rehush, N., 2022: Monocular depth estimation in forest environments. In: Yilmaz, A.; Wegner, J.D.; Qin, R.; Remondino, F.; Fuse, T.; Toschi, I. (eds), 2022: Congress "Imaging today, foreseeing tomorrow", commission II. XXIV ISPRS congress (2022 edition), Nice, France. 1017-1023. doi: 10.5194/isprs-archives-XLIII-B2-2022-1017-2022

Waser, L.T.; Rüetschi, M.; Psomas, A.; Small, D.; Rehush, N., 2021: Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries. ISPRS Journal of Photogrammetry and Remote Sensing, 180: 209-226. doi: 10.1016/j.isprsjprs.2021.08.017

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Further scientific publications

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Magazine article and brochures

Kükenbrink, D.; Allgaier Leuch, B.; Rehush, N.; Abegg, M.; Bornand, A.; Hristova, H.; Marty, M.; Ginzler, C., 2022: Aktuelle Arbeiten mit naher Fernerkundung zur detaillierten Erfassung von Waldstrukturen. Infoblatt Arbeitsgruppe Waldplanung und -management, 18-20.

Waser, L.; Rüetschi, M.; Rehush, N., 2021: Künstliche Intelligenz im Wald - der neue «Waldmischungsgrad LFI». Bündnerwald, 74, 5: 54-57.

Rehush, N.; Brändli, U., 2018: Mikrohabitate mit terrestrischem Laserscanning (TLS) erfassen. Infoblatt Arbeitsgruppe Waldplanung und -management, 10-13.

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