Sensing & measuring
This field deals with quantitative, physical and statistical based retrieval of land surface parameters relevant for multiple monitoring applications and earth system modelling.
Activities are ongoing to advance foundations for quantitative land remote sensing and to improve in-situ data collection and analysis for development, calibration and validation of the next generation remote sensing data and products.
Particular attention is paid to the use of innovative in-situ and laboratory based measurements (WUR goniometer system, terrestrial LIDAR, sensor webs), unmanned airborne vehicles (UAVs), radiative transfer models, vegetation indices, data assimilation methods, linking soil-vegetation-atmosphere transfer models, soil spectroscopy and calibration and validation procedures. Our sensing scientific research is underpinned by our long-term expertise in using advanced earth observation techniques (i.e. imaging spectroscopy and LIDAR) in combination with ecological and dynamic vegetation models for applications. Some examples are biodiversity assessment at habitat and ecosystem level, assessing vegetation characteristics and carbon stocks and combining sensing techniques with crop growth models for precision farming.
PhD projects:
- Anne Hoek van Dijke: The link between vegetation functional traits and evapotranspiration
- Gustavo Togeiro De Alckmin: Compare and contrast approaches of measurement of perennial ryegrass for biophysical and biochemical attributes
- Ximena Tagle Casapia: Integration of high resolution imagery from UAVs for Mapping of Provisioning Ecosystem Services in the tropics
- Na Wang: Measuring sun-induced fluorescence using UAV-based remote sensing
- Marston Domingues Franceschini: Developing UAV based hyperspectral approaches for disease detection in arable cropping systems
Post-doc projects:
- Milutin Milenkovic: Monitoring Tropical Forest Recovery and Resilience using Big Data Approaches for Optical and RADAR Sentinel Satellite Data
- Joao Pereira Valente: Spectors
- Peter Roosjen: Automated Airborne Pest Management
Recently finished PhDs:
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Advancing forest structure product validation with ground, space and unmanned aerial vehicle sensors
Wageningen University. Promotor(en): M. Herold, co-promotor(en): J.G.P.W. Clevers; J.P. Verbesselt. - Wageningen : Wageningen University - ISBN 9789463439237 - p. -
Controls of forest age and ecological memory effects on biosphere-atmosphere CO2 exchange
Wageningen University. Promotor(en): M. Herold; M. Reichstein, co-promotor(en): J.G.P.W. Clevers; N. Carvalhais. - Wageningen : Wageningen University - ISBN 9789463950657 - p. -
Citizen sensing for environmental information
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): L. Kooistra. - Wageningen : Wageningen University - ISBN 9789463438490 - p. -
UAV-based multi-angular measurements for improved crop parameter retrieval
Wageningen University. Promotor(en): M. Herold, co-promotor(en): J.G.P.W. Clevers; H.M. Bartholomeus. - Wageningen : Wageningen University - ISBN 9789463436717 - p. -
Terrestrial laser scanning for forest monitoring
Wageningen University. Promotor(en): Martin Herold, co-promotor(en): Harm Bartholomeus; Jan Verbesselt. - Wageningen : Wageningen University - ISBN 9789462571778 - p. -
Assessing water stress of desert vegetation using remote sensing : the case of the Tamarugo forest in the Atacama Desert (Northern Chile)
Wageningen University. Promotor(en): Martin Herold, co-promotor(en): Jan Clevers; E. Acevedo. - Wageningen : Wageningen University - ISBN 9789462570795 - p. -
Coniferous needle-leaves, shots and canopies : a remote sensing approach
Wageningen University. Promotor(en): Michael Schaepman, co-promotor(en): Z. Malenovsky; Jan Clevers. - Wageningen : Wageningen University - ISBN 9789461738684 - p. -
Imaging spectroscopy for ecological analysis in forest and grassland ecosystems
Wageningen University. Promotor(en): Michael Schaepman, co-promotor(en): Jan Clevers. - Wageningen : Wageningen University - ISBN 9789461738240 - p.
Key publications:
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Citizen Sensing for Improved Urban Environmental Monitoring
Journal of Sensors 2016 (2016). - ISSN 1687-725X - 9 p. -
Combining satellite data for better tropical forest monitoring
Nature Climate Change 6 (2016)2. - ISSN 1758-678X - p. 120 - 122. -
Estimating potato leaf chlorophyll content using ratio vegetation indices
Remote Sensing Letters 7 (2016)6. - ISSN 2150-704X - p. 611 - 620. -
Forest inventory with terrestrial LiDAR : A comparison of static and hand-held mobile laser scanning
Forests 7 (2016)6. - ISSN 1999-4907