Geoinformationsverarbeitung in der Umweltplanung
Dr. Alby Duarte Rocha
Research Assistant
© Alby Duarte
CV
| Since 2020 | Post-doctoral Research Assistant Technische Universität Berlin Institute of Landscape Architecture and Environmental Planning, Department of Geoinformation Processing for Landscape and Environmental Planning |
| 2014 - 2019 | PhD - Remote Sensing University of Twente, Netherlands International Institute for Geo-Information Science and Earth Observation (ITC). Department of Natural Resources |
| 2005 - 2019 | Project Manager Observatory of Indicators of Sustainability (ORBIS) Curitiba - Paraná - Brazil |
| 2005 - 2007 | Master in Geodesy - Remote Sensing Federal University of Paraná (UFPR) Department of Geodesy - Brazil |
| 2003 - 2005 | Lecturer Federal University of Paraná - UFPR Department of Statistics - Curitiba - Brazil |
| 2000 - 2003 | Consultant Werkema Associate Consultants Belo Horizonte - Brazil |
| 1996 - 2000 | Statistician Curitiba Research and Urban Planning Institute (IPPUC) Curitiba - Brazil |
| 1994 - 1998 | Bachelor in Statistics Federal University of Paraná (UFPR) Department of Statistics - Brazil |
| 1976 | born in São Paulo, São Paulo, Brazil |
| _______________ | ______________________________________________________________________________________________________ |
Degrees
| 1998 | Bachelor, Federal University of Paraná (UFPR), Brazil |
| 2007 | Master, Federal University of Paraná (UFPR), Brazil |
| 2019 | Doctorate, University of Twente, The Netherlands |
Research Topics
- Biophysical and biochemical plant trait predictive models using hyperspectral data.
- Assessment of Spatiotemporal Models, Machine Learning Algorithms and Radiative Transfer Models to predict/retrieval (quantitative) vegetation parameters with Remote Sensing.
- Modelling Evapotranspiration in urban landscapes with the support of remote sensing.
Kontaktinformationen
| Telefon | +49 30 314-24953 |
| a.duarterocha@tu-berlin.de | |
| Raum | EB 203B |
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
Rocha,
Alby Duarte;
Vulova,
Stenka;
Meier,
Fred;
Förster,
Michael;
Kleinschmit,
Birgit
Mapping evapotranspirative and radiative cooling services in an urban environment
Sustainable Cities and Society, 85 :104051
2022
ISSN: 2210-6707
Mapping evapotranspirative and radiative cooling services in an urban environment
Sustainable Cities and Society, 85 :104051
2022
ISSN: 2210-6707
Rocha,
Alby Duarte;
Vulova,
Stenka;
Tol,
Christiaan van der;
Förster,
Michael;
Kleinschmit,
Birgit
Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data
Hydrology and Earth System Sciences, 26 (4) :1111-1129
2022
ISSN: 1027-5606
Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data
Hydrology and Earth System Sciences, 26 (4) :1111-1129
2022
ISSN: 1027-5606
2021
Vulova,
Stenka;
Meier,
Fred;
Rocha,
Alby Duarte;
Quanz,
Justus;
Nouri,
Hamideh;
Kleinschmit,
Birgit
Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
Science Of The Total Environment, 786 :1-13
2021
ISSN: 0048-9697
Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
Science Of The Total Environment, 786 :1-13
2021
ISSN: 0048-9697
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
