I am dedicated to the application of earth observation and geospatial sciences to improve human well-being and environmental sustainability in the face of global change. My research focuses on deriving geospatial insight from large volumes of diverse remote sensing data.

Research interests:

• Measuring 3D vegetation structure and biomass using drone, airborne and space-borne LiDAR, and Synthetic Aperture Radar (SAR) for studying forest and savanna ecosystems.
• Using deep learning to extract land cover and socio-economic information from high resolution imagery.

Projects:

1. NASA Decadal Survey Incubation Study Team for Surface Topography and Vegetation (STV) (NASA STV Incubation Study). The STV Study team is tasked with (i) systematically recording science questions along with detailed data product requirements in a Science and Application Traceability Matrix (SATM) and (ii) identify technology gaps that NASA may invest in to advance the technology readiness of required capabilities.
2. SavannaBio: Biomass Estimation with New Spaceborne Missions for MRV in Dry Forests and Savannas. (NASA, University of Maryland)
3. Monitoring long-term change in savanna vegetation structure with airborne LiDAR and SAR time-series data.
4. The Impact of Investment on Irrigated Rice, Dryland Agriculture and Afforestation in Senegal using SAR and Optical Time-Series Imagery in Data Fusion Approaches. NASA Land Cover Land Use Change program. (NASA) (NASA Land-Use and Land-Cover Change Program)
5. Scoping study for NASA Terrestrial Ecology long-term field and airborne campaign focused on Drylands: ARID.