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TU Berlin

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Dipl.-Ing. Tobias Gränzig (geb. Schmidt)

Lupe
© T. Schmidt

Wissenschaftlicher Laborleiter

Tel.: +49 (0)30 / 314 - 29 19 7

Email:

Raum: EB 205    

Lebenslauf
seit 2019
Wissenschaftlicher Laborleiter am Fachgebiet Geoinformation in der Umweltplanung der TU Berlin
2017-2019
DV-Systemtechnik am Fachgebiet Geoinformation in der Umweltplanung der TU Berlin
2011-2017
Wissenschaftlicher Mitarbeiter am Fachgebiet Geoinformation in der Umweltplanung der TU Berlin.
Projekte:
2010-2011
Studentische Hilfskraft am Fachgebiet Geoinformation in der Umweltplanung der TU Berlin
2008-2010
Freier Mitarbeiter bei der CS-Planungs- und Ingenieurgesellschaft mbH Berlin
2005-2011
Studium der Landschaftsplanung an der TU Berlin
1983
in Berlin geboren

Forschungsschwerpunkte

Zeitreihenanalyse von räumlich hoch aufgelösten optischen Satellitendaten zur Untersützung von Grünlandmonitoring und zur Erkennung invasiver Pflanzenarten.

Publikationen

Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status
Zitatschlüssel Schmidt20170
Autor Schmidt, J. and Fassnacht, F. E. and Neff, C. and Lausch, A. and Kleinschmit, B. and Förster, M. and Schmidtlein, S.
Seiten 61-71
Jahr 2017
DOI http://dx.doi.org/10.1016/j.jag.2017.04.005
Journal International Journal of Applied Earth Observation and Geoinformation
Jahrgang 60
Zusammenfassung Remote sensing can be a valuable tool for supporting nature conservation monitoring systems. However, for many areas of conservation interest, there is still a considerable gap between field-based operational monitoring guidelines and the current remote sensing-based approaches. This hampers application in practice of the latter. Here, we propose a remote sensing approach for mapping the conservation status of Calluna-dominated Natura 2000 dwarf shrub habitats that is closely related to field mapping schemes. We transferred the evaluation criteria of the field guidelines to three related variables that can be captured by remote sensing: (1) coverage of the key species, (2) stand structural diversity, and (3) co-occurring species. Continuous information on these variables was obtained by regressing ground reference data from field surveys and UAV flights against airborne hyperspectral imagery. Merging the three resulting quality layers in an RGB representation allowed for illustrating the habitat quality in a continuous way. User-defined thresholds can be applied to this stack of quality layers to derive an overall assessment of habitat quality in terms of nature conservation, i.e. the conservation status. In our study, we found good accordance of the remotely sensed data with field-based information for the three variables key species, stand structural diversity and co-occurring vegetation (R2 of 0.79, 0.69, and 0.71, respectively) and it was possible to derive meaningful habitat quality maps. The conservation status could be derived with an accuracy of 65%. In interpreting these results it should be considered that the remote sensing based layers are independent estimates of habitat quality in their own right and not a mere replacement of the criteria used in the field guidelines. The approach is thought to be transferable to similar regions with minor adaptions. Our results refer to Calluna heathland which we consider a comparably easy target for remote sensing. Hence, the transfer of field guidelines to remote sensing indicators was rather successful in this case but needs further evaluation for other habitats.
Typ der Publikation Kleinschmit
Link zur Originalpublikation Download Bibtex Eintrag

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