Mauro Marty

Fonction

collaborateur technique

Dynamique du paysage

Télédétection

Contact

mauro.marty(at)wslto make life hard for spam bots.ch

+41 44 739 22 52+41 44 739 22 52

Institut fédéral de recherches sur la forêt, la neige et le paysage WSL
Zürcherstrasse 111
8903 Birmensdorf

Site

Birmensdorf Bi HP C 59

Research Interests

Generation of digital elevation models from photogrammetry and LiDAR
Field data acquisitions with UAVs, terrestrial laser scanning and surveying methods
Processing of the NFI Vegetation Height Model for Switzerland
Preparation and post-processing of a variety of remote sensing datasets

Education

CAS Spatial Infomation Systems, ETH Zürich 2017
Master in Geography at University of Bern 2012
Swiss Mountain Guide with federal diploma 2010

FURTHER INFORMATION

Projects

More Trees – Less Biodiversity?

In this WSL Biodiversity Centre Postdoc project, we will investigate the relationships between woody encroachment, habitat diversity and plant species diversity. Modelled vegetation height based on historical aerial stereo images, covering 40 years of woody encroachment and forest expansion, will be combined with existing biodiversity data. This allows for a spatially explicit assessment of the relationship between woody encroachment and the dynamics of habitat and plant species diversity.

Forest Resource Dynamic Monitoring

The joint project between Switzerland, Laos, Malaysia and China aims to research and develop the key technologies for forest resources dynamic monitoring and forest volume estimation based on ALS and other related remote sensing technologies.

Sentinel-2 vegetation height models

The aim of the project is to generate annual vegetation height models for Switzerland based on satellite imagery from Sentinel-2. Within the framework of the Swiss NFI, a workflow will be implemented and the accuracy of the resulting products will be estimated.

ICOS-2: Integrated Carbon Observation System in Switzerland, Phase 2017-2021

Die Forschungsstation Seehornwald Davos wurde in den 80er-Jahren von der WSL initiiert und ist damit eine der ältesten permanent betriebenen Wald-Vegetations-Forschungsstationen in der Schweiz.

Regeneration assessment in open forest areas

An Unmanned Aerial Vehicle UAV equipped with a LiDAR sensor will be used to test its potential for regeneration structure assessments in mountain forests. The project aims to combine terrestrial regeneration mapping with LiDAR-based information to assess size, density and location of regeneration.

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Publications WSL

Scientific publication article peer reviewed

Schmucki, G.; Bartelt, P.; Bühler, Y.; Caviezel, A.; Graf, C.; Marty, M.; Stoffel, A.; Huggel, C., 2023: Towards an automated acquisition and parametrization of debris‐flow prone torrent channel properties based on photogrammetric‐derived uncrewed aerial vehicle data. Earth Surface Processes and Landforms, doi: 10.1002/esp.5585

Kükenbrink, D.; Marty, M.; Bösch, R.; Ginzler, C., 2022: Benchmarking laser scanning and terrestrial photogrammetry to extract forest inventory parameters in a complex temperate forest. International Journal of Applied Earth Observation and Geoinformation, 113: 102999 (15 pp.). doi: 10.1016/j.jag.2022.102999

Eberhard, L.A.; Sirguey, P.; Miller, A.; Marty, M.; Schindler, K.; Stoffel, A.; Bühler, Y., 2021: Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping. Cryosphere, 15, 1: 69-94. doi: 10.5194/tc-15-69-2021

Ginzler, C.; Price, B.; Weber, D.; Hobi, M.; Marty, M., 2021: Dynamik der Vegetationshöhen im Schweizer Wald. Schweizerische Zeitschrift für Forstwesen, 172, 5: 310-317. doi: 10.3188/szf.2021.0310

Price, B.; Waser, L.T.; Wang, Z.; Marty, M.; Ginzler, C.; Zellweger, F., 2020: Predicting biomass dynamics at the national extent from digital aerial photogrammetry. International Journal of Applied Earth Observation and Geoinformation, 90: 102116 (10 pp.). doi: 10.1016/j.jag.2020.102116

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Further scientific publications

Kükenbrink, D.; Marty, M.; Bösch, R.; Ginzler, Ch., 2022: Der Weg zu einer operationellen Waldstrukturaufnahme in grossflächigen Waldinventuren mittels naher Fernerkundung. Geomatik Schweiz, Géomatique Suisse, Geomatica Svizzera, 120, 9-10: 199-202.

Floris, A.; Marty, M.; Rizzo, M.; Ginzler, C.; Maistrelli, F.; Gasparini, P., 2021: Modelli digitali di altezza della vegetazione da immagini stereometriche con tecniche di Image Matching.. In: Borgogno-Mondino, E.; Zamperlin, P. (eds), 2021: Geomatics and geospatial technologies. 24th Italian conference, ASITA 2021, Genoa, Italy. 181-193.

Bühler, Y.; Bührle, L.; Eberhard, L.; Marty, M.; Stoffel, A., 2021: Grossflächige Schneehöhen-Kartierung mit Flugzeug und Satellit. Geomatik Schweiz, Géomatique Suisse, Geomatica Svizzera, 119, 9-10: 212-215.

Eberhard, L.; Marty, M.; Stoffel, A.; Kenner, R.; Bühler, Y., 2018: Photogrammetric snow depth mapping: evaluation of different platforms and sensors. In: 2018: International snow science workshop proceedings 2018. International snow science workshop, ISSW 2018, Innsbruck. 403-407.

Ginzler, C.; Marty, M.; Bühler, Y., 2013: Grossflächige hochaufgelöste Schneehöhenkarten aus digitalen Stereoluftbildern. In: Seyfert, E. (eds), 2013: Vorträge, 33. Wissenschaftlich-Technische Jahrestagung der DGPF. 33. Wissenschaftlich-Technische Jahrestagung der DGPF, Freiburg i.B., Februar 27 - March 1, 2013. 71-78.

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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.

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