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Will Maslanka

Photograph of Will Maslanka

Researcher for the LANDWISE project, Work Package 3 "Compile and Derive evidence from Remote Sensing Data"

Areas of interest

  • Remote sensing
  • Drone observations
  • Soil moisture observations
  • Snow observations


Will joined the department in May 2019, as a postdoctoral researcher working on the LAND Management in lowland catchments for Integrated flood riSk rEduction (LANDWISE) project, funded by NERC. This project seeks to examine how well natural land-based measures can be used to reduce the risk of flooding for communities.

His main role within Work Package 3 (Compile and Derive evidence from Remote Sensing Data) is two-fold. Firstly, he is working towards generating a timeseries of derived soil moisture data for key catchments in the Thames basin through Sentinel 1 SAR observations. Secondly, he is also working towards collecting data on the field scale in conjunction with colleagues and project partners from Work Package 2 (Evidence from field data) using both a portable ground-based RADAR unit and a drone mounted RADAR unit.

Will obtained his MMet in Meteorology from the University of Reading, UK, with a year spent at the University of Oklahoma, USA, with his master's dissertation analysing cyclogenesis methods within the North Atlantic Storm Track.

He also completed his PhD at the University of Reading, in 2017, during which he investigated the extinction properties of microwave radiation in natural snow at the Finnish Meteorological Institute Arctic Space Centre (in Sodankylä, Finland) over the course of two winter field campaigns. He then developed and evaluated a new semi-empirical extinction coefficient for the n-HUT snow emission model.

Prior to starting with the LANDWISE project, Will worked for the Modelling and Forecasting team in the Environment Agency (EA), helping to both build and review 1D-2D flood models, as well as being part of the rostered duty flood forecasting team for both the Thames Basin and North London.