UAV-based multi-angular measurements for improved crop parameter retrieval

PhD defence

UAV-based multi-angular measurements for improved crop parameter retrieval

PhD candidate PPJ (Peter) Roosjen PhD MSc
Promotor prof.dr. M (Martin) Herold
Co-promotor JGPW (Jan) Clevers
dr. HM (Harm) Bartholomeus
Organisation Wageningen University, Laboratory of Geo-information Science and Remote Sensing

Fri 17 November 2017 11:00 to 12:30

Venue Auditorium, building number 362
Generaal Foulkesweg 1
6703 BG Wageningen


Optical remote sensing enables the estimation of crop parameters based on reflected light through empirical-statistical methods or inversion of radiative transfer models. Natural surfaces, however, reflect light anisotropically, which means that the intensity of reflected light depends on the viewing and illumination geometry. Therefore, reflectance anisotropy can be considered as an unwanted effect since it may lead to inaccuracies in parameter estimations. However, it can also be considered as information source due to its unique response to the optical and structural properties of the observed surface. In the past, reflectance anisotropy was studied by multi-angular reflectance measurements from space-borne or ground-based sensors. In this research, the opportunities of Unmanned Aerial Vehicles (UAVs) to collect multi-angular measurements were explored. The main results of this research show that multi-angular measurements can be done with UAVs and that the reflectance anisotropy signal can be used to improve the retrieval of crop parameters.