BLISS, THOMAS,CHARLIE,JAMES (2021) Soil Moisture Estimation for landslide monitoring: A new approach using multi-temporal Synthetic Aperture RADAR data. Doctoral thesis, Durham University.
|PDF (Bliss_TCJ_Final_Thesis) - Accepted Version|
This study explores the utility of the Spotlight2 X-band Synthetic Aperture Radar product developed by the Italian Space Agency for use in multi-temporal estimation of soil moisture in a landslide monitoring context, using a time series of monthly images of the Hollin Hill Landslide Observatory – North Yorkshire, UK. The study shows the complexity of surface soil moisture at an active landslide, using high resolution in situ soil moisture data. This in situ data is also used for ground truthing the soil moisture estimations from the SAR data. The study shows the limitations of inter-and intra-sensor calibration within the Cosmo-SkyMed array and contextualises this problem within the current research climate where SAR imagery is increasingly being created using multi-satellite constellation, while being used, increasingly, by environmental scientists rather than remote sensing specialists.
|Item Type:||Thesis (Doctoral)|
|Award:||Doctor of Philosophy|
|Keywords:||SAR; Synthetic Aperture Radar; Soil moisture; Landslide; Cosmo SkyMed; SensorNet|
|Faculty and Department:||Faculty of Social Sciences and Health > Geography, Department of|
|Copyright:||Copyright of this thesis is held by the author|
|Deposited On:||24 Nov 2021 08:45|