Conference Proceeding

Monitoring Agricultural Fields Using an Optimisation of the Difference of Covariance Matrices for Polsar

Details

Citation

Silva C, Marino A, Lopez-Sanchez JM & Cameron I (2018) Monitoring Agricultural Fields Using an Optimisation of the Difference of Covariance Matrices for Polsar. In: Proceedings of 2018 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22.07.2018-27.07.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/igarss.2018.8519267

Abstract
SAR polarimetry (PolSAR) can play an important role in monitoring agricultural fields both in terms of improving detection of specific plants conditions and providing physical information regarding the change. Such information can be used to help retrieving the phenological stage and eventually identifying stress conditions. In this work, a new change detection based on PolSAR data is first tested over time series of images acquired over agricultural fields. The methodology is based on the use of the normalised difference between covariance matrices acquired at two different instants. A diagonalisation of such matrix allows identifying the scattering mechanisms that suffer the largest change. The methodology is tested exploiting C-band quad-polarimetric RADARSAT-2 data over rice fields in Sevilla, South-West of Spain.

Keywords
Agriculture; polarimetry; change detection; SAR

StatusPublished
FundersSantander UK
Publication date31/12/2018
Publication date online05/11/2018
URLhttp://hdl.handle.net/1893/31637
PublisherIEEE
Place of publicationPiscataway, NJ, USA
ISSN of series2153-7003
eISBN9781538671504
ConferenceIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Conference locationValencia, Spain
Dates

People (1)

People

Dr Armando Marino
Dr Armando Marino

Senior Lecturer in Earth Observation, Biological and Environmental Sciences