Mirela Tulbure

Bio

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

Publications

• Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning , PLOS ONE (2024)
• Creating spatially complete zoning maps using machine learning , COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2024)
• Projecting Surface Water Area Under Different Climate and Development Scenarios , EARTHS FUTURE (2024)
• Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions , INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2024)
• Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh , JOURNAL OF ENVIRONMENTAL MANAGEMENT (2023)
• Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone? , ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)
• Effects of Climate and Anthropogenic Drivers on Surface Water Area in the Southeastern United States , WATER RESOURCES RESEARCH (2022)
• Forest water use is increasingly decoupled from water availability even during severe drought , LANDSCAPE ECOLOGY (2022)
• A multi-sensor satellite imagery approach to monitor on-farm reservoirs , REMOTE SENSING OF ENVIRONMENT (2021)
• Leveraging the NEON Airborne Observation Platform for socio-environmental systems research , ECOSPHERE (2021)