Dr
Alberto Alonso-Gonzalez
(DLR)
18/11/2015, 14:00
Agriculture
In recent years, the presence of space-borne SAR systems has empowered the construction of dense time series datasets, containing SAR images of the same scene at different time instants. The importance of these datasets lies in that they contain information not only about the scene itself but also about its temporal evolution. Moreover, this is a growing trend which is expected to continue in...
Dr
Keith Morrison
(Cranfield University)
18/11/2015, 14:20
Agriculture
At high spatial resolution (<1m) and/or for short wavelengths (i.e. < 3cm) there is a gap in our understanding of the interaction of a radar wave with natural targets over a SAR scene. This information is needed to look to and assess the next generation of EO satellites. Extant scattering models lack either the ability to incorporate the required SAR parameters or are not applicable at high...
Mike Wooding
(Remote Sensing Applications Consultants Ltd)
18/11/2015, 14:40
Agriculture
RSAC and CEH are working on an InnovateUK supported project called Land Cover Plus which is aimed at producing an annual crop map of the UK based on the use of Sentinel-1 SAR data, as an add-on layer to the National Land Cover Map.
The ESA AgriSAR 2009 programme demonstrated the potential of C-band SAR data for crop mapping using time series Radarsat data for test sites in The Netherlands,...
Ms
Hannah Joerg
(German Aerospace Center, ETH Zurich)
18/11/2015, 15:00
Agriculture
Multi-parameter synthetic aperture radar (SAR) acquisitions can be employed for the quantitative estimation of biophysical parameters of agricultural vegetation (e.g. crop height and canopy structure). Polarimetric SAR Interferometry (Pol-InSAR) [1], by exploiting the variation of the interferometric coherence with polarisation, presents a valuable support to the extraction of crop...
Dr
Andrea Minchella
(Satellite Applications Catapult), Mr
Dan Wicks
(Satellite Applications Catapult)
18/11/2015, 15:40
Agriculture
For the purpose of agricultural monitoring, the study of vegetation phenology by means of remote sensing has been largely addressed by the analysis of temporal variations in vegetation indices acquired by optical sensors. To date, the use of radar sensors has been explored in the literature but is less developed for operational agricultural monitoring activities. Many theoretical and...
