Modelling & visualization
This field of research focuses on two themes. The first theme is a physically and statistically oriented theme "spatial analysis". The other theme concerns the visualization of geo-information.
Spatial analysis includes deterministic and statistical spatio-temporal modelling, machine- and deep learning, research into uncertainties associated with spatio-temporal data, geostatistics and fitness for use for a diversity of applications ranging from precision agriculture to nuclear emergency support.
Visualization of geo-information includes developing and evaluating readable and understandable graphical expressions of geo-data acquisition and modelling results which may support dissemination of scientific outcomes. The topic is strongly linked to the other four themes.
PhD projects:
- Ximena Tagle Casapia: Integration of high resolution imagery from UAVs for Mapping of Provisioning Ecosystem Services in the tropics
- David Brown Fuentes: Which variety for which farm? Creating location-specific information for banana variety release decisions and banana variety choice recommendations in Uganda and Tanzania
- Hedwig van Delden: Development and use of integrated land use models for policy support
- Monique de Groot: Visualizations for knowledge transfer in climate adaptation planning
- Marcio Sales: Pre-Assessment of the value of remote sensing derived data for reducing uncertainty about carbon emissions estimation in Brazil
Post-doc projects:
- Milutin Milenkovic: Monitoring Tropical Forest Recovery and Resilience using Big Data Approaches for Optical and RADAR Sentinel Satellite Data
- Sylvain Lobry: Deep learning for geospatial information extraction
Recently finished PhDs:
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Interactive machine vision for wildlife conservation
Wageningen University. Promotor(en): D. Tuia. - Wageningen : Wageningen University - ISBN 9789463952736 - p. -
Mapping of urban landuse and landcover with multiple sensors : Joining close and remote sensing with deep learning
Wageningen University. Promotor(en): D. Tuia. - Wageningen : Wageningen University - ISBN 9789463952514 - p. -
Behind subjectivity : Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): S. de Bruin; N.E. Tsendbazar. - Wageningen : Wageningen University - ISBN 9789463951555 - p. -
Thermography for soil salinity assessment
Wageningen University. Promotor(en): A.K. Bregt; A.S. Pulatov, co-promotor(en): H.M. Bartholomeus. - Wageningen : Wageningen University - ISBN 9789463435901 - p. -
Geospatial risk analysis of mosquito-borne disease vectors in the Netherlands
Wageningen University. Promotor(en): W. Takken, co-promotor(en): C.J.M. Koenraadt; R.J.A. van Lammeren. - Wageningen : Wageningen University - ISBN 9789463438315 - p. -
Injecting spatial priors in Earth observation with machine vision
Wageningen University. Promotor(en): D. Tuia. - Wageningen : Wageningen University - ISBN 9789463435604 - p. -
Exploring the effects of feedbacks on land system behaviour : A Complex Adaptive Systems approach
Wageningen University. Promotor(en): A.K. Bregt; M.M. Bakker, co-promotor(en): A. Ligtenberg. - Wageningen : Wageningen University - ISBN 9789463433334 - p. -
Landslide path dependency and its impact on space-time modelling of landslide susceptibility
Wageningen University. Promotor(en): A.K. Bregt; J. Wallinga, co-promotor(en): A.J.A.M. Temme. - Wageningen : Wageningen University - ISBN 9789463435147 - p. -
Interplay between land-use dynamics and changes in hydrological regime in the Vietnamese Mekong Delta
Land Use Policy 73 (2018). - ISSN 0264-8377 - p. 269 - 280. -
Calibration and validation of land-use models
Wageningen University. Promotor(en): Arnold Bregt. - S.l. : s.n. - ISBN 9789461734433 - p.
Key publications:
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A spatiotemporal geostatistical hurdle model approach for short-term deforestation prediction
Spatial Statistics 21 (2017)part A. - ISSN 2211-6753 - p. 304 - 318. -
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
IEEE Transactions on Geoscience and Remote Sensing 56 (2018)6. - ISSN 0196-2892 - p. 3277 - 3289. -
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
IEEE Geoscience and Remote Sensing Magazine 5 (2017)4. - ISSN 2168-6831 - p. 8 - 36. -
Integrating global land cover datasets for deriving user-specific maps
International Journal of Digital Earth 10 (2017)3. - ISSN 1753-8947 - p. 219 - 237. -
Spatial relationship between climatologies and changes in global vegetation activity
Global Change Biology 19 (2013)6. - ISSN 1354-1013 - p. 1953 - 1964. -
Species distribution models predict temporal but not spatial variation in forest growth
Ecology and Evolution 7 (2017)8. - ISSN 2045-7758 - p. 2585 - 2594. -
Toward seamless multiview scene analysis from satellite to street level
Proceedings of the IEEE 105 (2017)10. - ISSN 0018-9219 - p. 1884 - 1899. -
A role-playing game as a tool to facilitate social learning and collective action towards Climate Smart Agriculture: Lessons learned from Apuí, Brazil
Environmental Science & Policy 63 (2016). - ISSN 1462-9011 - p. 113 - 121. -
Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000–2005 in the tropics
Biogeosciences 13 (2016)14. - ISSN 1726-4170 - p. 4253 - 4269. -
Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion
Computers and Electronics in Agriculture 124 (2016). - ISSN 0168-1699 - p. 194 - 210.