Geoinformation in Environmental Planning
Employment and academic vita
| since 2019 | Research assistant at the DFG Research Group ‘Cosmic Sense’ |
| 2018 | Field campaign with University of Alaska / Fairbanks |
| 2018 | Internship at the Microwaves and Radar Institute, DLR Oberpfaffenhofen |
| 2017 | Internship within the DFG Project ‚Tropical Mountain Rainforests‘ at University of Loja/Ecuador |
| 2016 - 2019 | M.Sc. Physical Geography, FAU Erlangen-Nürnberg |
| 2013 - 2016 | Teachers Training for Mittelschullehramt: Major subject geography, LMU Munich |
| 2012 - 2013 | Teachers Training for mathematics and psychology, LMU Munich |
| _______________ | ______________________________________________________________________________________________________ |
Publikationen
2022
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: 1569-8432
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: 1569-8432
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
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
2021
Döpper,
Veronika;
Panda,
Santosh;
Waigl,
Christine;
Braun,
Matthias;
Feilhauer,
Hannes
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Applied Vegetation Science, 24 (1) :e12561
2021
ISSN: 1402-2001
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Applied Vegetation Science, 24 (1) :e12561
2021
ISSN: 1402-2001
Döpper,
Veronika;
Rocha,
Alby Duarte;
Gränzig,
Tobias;
Kleinschmit,
Birgit;
Förster,
Michael
Using radiative transfer models for mapping soil moisture content under grassland with UAS-borne hyperspectral data
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 11856 :208-214
2021
Using radiative transfer models for mapping soil moisture content under grassland with UAS-borne hyperspectral data
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 11856 :208-214
2021
2020
Fersch,
Benjamin;
Francke,
Till;
Heistermann,
Maik;
Schrön,
Martin;
Döpper,
Veronika;
Jakobi,
Jannis;
Baroni,
Gabriele;
Blume,
Theresa;
Bogena,
Heye;
Budach,
Christian;
Gränzig,
Tobias;
Förster,
Michael;
Güntner,
Andreas;
Franssen,
Harrie-Jan Hendricks;
Kasner,
Mandy;
Köhli,
Markus;
Kleinschmit,
Birgit;
Kunstmann,
Harald;
Patil,
Amol;
Rasche,
Daniel;
Scheiffele,
Lena M.;
Schmidt,
Ulrich;
Szulc-Seyfried,
Sandra;
Weimar,
Jannis;
Zacharias,
Steffen;
Zreda,
Marek;
Heber,
Bernd;
Kiese,
Ralf;
Mares,
Vladimir;
Mollenhauer,
Hannes;
Völksch,
Ingo;
Oswald,
Sascha E.
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Earth System Science Data, 12 (3) :2289-2309
2020
ISSN: 1866-3508
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
Earth System Science Data, 12 (3) :2289-2309
2020
ISSN: 1866-3508
Döpper,
Veronika;
Gränzig,
Tobias;
Kleinschmit,
Birgit;
Förster,
Michael
Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification
Remote Sensing, 12 (10) :1552-0
2020
ISSN: 2072-4292
Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification
Remote Sensing, 12 (10) :1552-0
2020
ISSN: 2072-4292
