direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

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

Lupe

IT System Technology

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

Email:
Room: EB 205

Personal Data
Date and place of birth: 1983 (Berlin, Germany)
Employment and academic vita
since 2017
IT System Technology
2011-2017
Research Assistant
Technische Universität Berlin, Department of Landscape Architecture and Environmental Planning, Geoinformation in Environmental Planning.
Projects:

2010-2011
Tutor
Technische Universität Berlin, Department of Landscape Architecture and Environmental Planning, Geoinformation in Environmental Planning.
2007-2010
Internship and freelance collaborator
CS Planungs- und Ingenieurgesellschaft mbH (Planning and Engineering Corporation), Berlin
2005-2011
Studies of Landscape Planning
Technische Universität Berlin, Germany

Research Topics

Time-series analysis of high-resolution satellite images to support grassland monitoring and to detect invasive plant species.

Publications

2018

Klinke, R., Kuechly, H., Frick, A., Förster, M., Schmidt, T., Holtgrave, A.-K. a. K. B., Spengler, D. and Neumann, C. (2018). Indicator-Based Soil Moisture Monitoring ofWetlands by Utilizing Sentinel and Landsat Remote Sensing Data. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 71–84.


2017

Schmidt, J., Fassnacht, F. E., Neff, C., Lausch, A., Kleinschmit, B., Förster, M. and Schmidtlein, S. (2017). Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status. International Journal of Applied Earth Observation and Geoinformation, 61-71.


2015

Schuster, C., Schmidt, T., Conrad, C., Kleinschmit, B. and Förster, M. (2015). Grassland Habitat Mapping by Intra-Annual Time Series Analysis - Comparison of RapidEye and TerraSAR-X Satellite Data. International Journal of Applied Earth Observation and Geoinformation, 25-34.


2014

Pipkins, K., Förster, M., Clasen, A., Schmidt, T. and Kleinschmit, B. (2014). A comparison of feature selection methods for multitemporal tree species classification. Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications


Förster, M., Schmidt, T. and Kleinschmit, B. (2014). Monitoring of potential climate-induced impacts on woodland habitats with earth observation methods. Proceedings of the European Conference „Climate Change and Nature Conservation in Europe – an ecological, policy and economic perspective“, 117-118.


Förster, M., Zebisch, M., Wagner-Lücker, I., Schmidt, T., Renner, K. and Neubert, M. (2014). Remote Sensing-Based Monitoring of Potential Climate-Induced Impacts on Habitats. Managing Protected Areas in Central and Eastern Europe Under Climate Change. Springer, 95-113.


Schmidt, T., Schuster, C., Kleinschmit, B. and Förster, M. (2014). Evaluating an Intra-Annual Time Series for Grassland Classification—How Many Acquisitions and What Seasonal Origin Are Optimal?. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3428-3439.


Suchenwirth, L., Stümer, W., Schmidt, T., Förster, M. and Kleinschmit, B. (2014). Large-scale mapping of carbon stocks in riparian forests with self-organizing maps and the k-nearest-neighbor algorithm. Forests, 1635-1652.


2013

Förster, M., Schmidt, T., Spindler, N., Renner, K., Wagner-Lücker, I., Zebisch, M. and Neubert, M. (2013). Remote sensing methods to monitor habitats potentially threatened by climate change. SPIE Remote Sensing, 88930L1-88930L8.


2012


To top

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

This site uses Matomo for anonymized webanalysis. Visit Data Privacy for more information and opt-out options.