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.
- 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
- Diego Marcos: Injecting spatial prior knowledge in Earth observation with machine vision
- Shivangi Srivastava: Automatic mapping of urban land use with multiple sensors: joining remote sensing and social media with machine learning
- Benjamin Kellenberger: Machine vision for wildlife monitoring with UAVs and humans in the loop
- Adolfo Ibanez-Justicia: Geospatial risk analysis of mosquito-borne disease vectors in the Netherlands
- 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
- Agnieszka Tarko: Image spectral/radiometry assessments for LPIS applications
- Marcio Sales: Pre-Assessment of the value of remote sensing derived data for reducing uncertainty about carbon emissions estimation in Brazil
Recently finished PhDs:
Landslide path dependency and its impact on space-time modelling of landslide susceptibility
Wageningen University. Promotor(en): Arnold Bregt; Jakob Wallinga, co-promotor(en): Arnaud 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
University. Promotor(en): Arnold Bregt. - S.l. : s.n. - ISBN 9789461734433 - p.
Framing futures: visualizing on social-ecological systems change
University. Promotor(en): Tom Veldkamp, co-promotor(en): Kasper Kok; Ron van Lammeren. - [s.l.] : S.n. - ISBN 9789461730916 - p.
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.