Geoinformation in Environmental Planning

Current

Here you can find all current information of the department Geoinformation in Environmental Planning

News

2 new publications regarding TreeSatAi

Author: Steve Ahlswede, Christian Schul,, Christiano Gava, Patrick Helber, Benjamin Bischke, Michael Förster, Florencia Arias, Jörn Hees, Begüm Demir and Birgit Kleinschmit
Title: TreeSatAI Benchmark Archive: A multi-sensor, multi-label dataset for tree species classification in remote sensing [Preprint]
Journal: Earth System Science Data

Dissertation sucessfully defended

Dr. Stenka Vulova's doctorate was defended very successfully on 11.10.2022.

The whole department congratulates her.

Paper 1

Paper 2

 

 

Job advertisement: Employee with a university degree in scientific disciplines (d/m/w)

Completed scientific university studies (Master's degree, diploma or equivalent) as a geoinformatics specialist, computer scientist or in the field of environmental sciences

 

100% TV-L E13

permanent

Successfully completed scientific university studies (master, diploma or equivalent) as geoinformatician, computer scientist or in the field of environmental sciences / environmental planning with focus on remote sensing and measurement techniques.

100% TV-L E13, to be filled as of 01.09.2022, permanent, application deadline: 01.07.2022).

The…

New portfolio in CODE-DE: timeStamp

TimeStamp-application now available CODE-DE Portfolio.

TimeStamp-application now available CODE-DE Portfolio:

https://code-de.org/de/portfolio/?q=community-contribution

Publication:

Schulz et al. (2021): Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls?

Computers and Electronics in Agriculture, 186 (2021); https://doi.org/1…

New Publication

Mapping evapotranspirative and radiative cooling services in an urban environment

Author: Alby Duarte Rocha, Stenka Vulova, Fred Meier, Michael Förster and Birgit Kleinschmit
Title: Mapping evapotranspirative and radiative cooling services in an urban environment.
Journal: Sustainable Cities and Society
Volume:85
Page: 104051
Year: 2022
ISSN: 2210-6707
DOI: doi.org/10.1016/j.scs.2022.104051

New Publication

Following the cosmic-ray-neutron-sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing

Döpper, Veronika; Jagdhuber, Thomas; Holtgrave, Ann-Kathrin; Heistermann, Maik; Francke, Till; Kleinschmit, Birgit; Förster, Michael
Following the cosmic-ray-neutron-sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing. Science of Remote Sensing, 5 :100056
2022
ISSN: 2666-0172
DOI: https:…

New Publication

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning

Döpper, Veronika; Rocha, Alby Duarte; Berger, Katja; Gränzig, Tobias; Verrelst, Jochem; Kleinschmit, Birgit; Förster, Michael
Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning
International Journal of Applied Earth Observation and Geoinformation, 110 :102817
2022
ISSN:…

New Publication

Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning – An alternative to on-site controls? Journal: Computers and Electronics in Agriculture.

Schulz, C., Holtrave, A.K., Kleinschmit, B. (2021): Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls? Computers and Electronics in Agriculture 186(8):106173. DOI: https://doi.org/10.1016/j.compag.2021.106173

New Publication

Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data. Journal: Hydrol. Earth Syst. Sci.

Duarte Rocha, A., Vulova, S., van der Tol, C., Förster, M., and Kleinschmit, B. (2021): Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data, Hydrol. Earth Syst. Sci., doi.org/10.5194/hess-2021-283

New Publication

Suitability of satellite remote sensing data for yield estimation in northeast Germany. Journal: Precision Agriculture.

Vallentin, C., Harfenmeister, K., Itzerott, S., Kleinschmit, B., Conrad, C., Spengler, D. (2022): Suitability of satellite remote sensing data for yield estimation in northeast Germany. Precision Agric 23, 52–82. doi.org/10.1007/s11119-021-09827-6

Our events