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

• 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)
• Impact of hydroclimatic variability on regional-scale landscape connectivity across a dynamic dryland region (2018)
• Multi-sensor airborne and satellite data for upscaling tree number information in a structurally complex eucalypt forest (2018)
• Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale (2018)
• Data from: Surface-water dynamics and land use influence landscape connectivity across a major dryland region (2017)
• Exploring the utility of combining Landsat8, Sentinel2 and Sentinel1 time series for the quantification of forest degradation for test sites across Indonesia (2017)
• Modeling multidecadal surface water inundation dynamics and key drivers on large river basin scale using multiple time series of Earth-observation and river flow data (2017)
• Surface-water dynamics and land use influence landscape connectivity across a major dryland region (2017)
• Big data opportunities and challenges for assessing multiple stressors across scales in aquatic ecosystems (2016)

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