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
- Benjamin Brede: Multi-sensor approach for next generation forest biophysical satellite products
- 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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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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Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures
Soil & Tillage Research 177 (2018). - ISSN 0167-1987 - p. 19 - 36. -
Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
International Journal of applied Earth Observation and Geoinformation 66 (2018). - ISSN 0303-2434 - p. 14 - 26. -
Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
Sensors 17 (2017)10. - ISSN 1424-8220 - 16 p. -
Intercomparison of unmanned aerial vehicle and ground-based narrow band spectrometers applied to crop trait monitoring in organic potato production
Sensors 17 (2017)6. - ISSN 1424-8220 - 36 p. -
Mapping reflectance anisotropy of a potato canopy using aerial images acquired with an unmanned aerial vehicle
Remote Sensing 9 (2017)5. - ISSN 2072-4292 -
Remote sensing of plant trait responses to field-based plant-soil feedback using UAV-based optical sensors
Biogeosciences 14 (2017)3. - ISSN 1726-4170 - p. 733 - 749. -
Using Sentinel-2 data for retrieving LAI and leaf and canopy chlorophyll content of a potato crop
Remote Sensing 9 (2017)5. - ISSN 2072-4292 -
50 years of water extraction in the Pampa del Tamarugal basin: Can Prosopis tamarugo trees survive in the hyper-arid Atacama Desert (Northern Chile)?
Journal of Arid Environments 124 (2016). - ISSN 0140-1963 - p. 292 - 303. -
A global spectral library to characterize the world's soil
Earth-Science Reviews 155 (2016). - ISSN 0012-8252 - p. 198 - 230. -
Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and quantitative mapping of salinity stress in sugarcane fields
International Journal of applied Earth Observation and Geoinformation 52 (2016). - ISSN 0303-2434 - p. 412 - 421.