Mirela uses geospatial analytics to quantify and improve understanding of surface water extent, vegetation and landscape connectivity dynamics in water stressed regions.

Roles

• Fellows

Publications

• Leveraging the NEON Airborne Observation Platform for socio-environmental systems research (2021)
• On-farm reservoir monitoring using Landsat inundation datasets (2021)
• Understanding the Importance of Dynamic Landscape Connectivity (2020)
• Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data (2019)
• Surface water and flooding dynamics based on seasonally continuous Landsat data (1986-2011) in a dryland river basin (monthly, seasonally, and yearly animations) (2019)
• Surface water and flooding dynamics data set based on seasonally continuous Landsat data (1986-2011) in a dryland river basin (Version Version v1.0.0) (2019)
• The role of GRACE total water storage anomalies, streamflow and rainfall in stream salinity trends across Australia’s Murray-Darling Basin during and post the Millennium Drought (2019)
• Addressing spatio-temporal resolution constraints in Landsat and MODIS-based mapping of large-scale floodplain inundation dynamics (2018)
• Comparing Landsat-MODIS blending with a statistical model for improved spatio-temporal quantification of large-scale floodplain inundation dynamics (2018)
• Evaluating static and dynamic landscape connectivity modelling using a 25-year remote sensing time series (2018)

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