Sciences and Exploration Directorate

Ameni Mkaouar

(Post-Doctoral Research Associate)

Ameni Mkaouar's Contact Card & Information.
Email: ameni.mkaouar@nasa.gov
Org Code: 618
Address:
NASA/GSFC
 Mail Code 618
 Greenbelt, MD 20771
Employer: UNIVERSITY OF MARYLAND BALTIMORE CO

Brief Bio

Dr. Mkaouar is actively engaged in the Surface, Topography, and Vegetation (STV) project, where she aims integrating LiDAR and Stereophotogrammetry imaging to advance 3D surface models of vegetation and topography. Her expertise includes Discrete Anisotropic Radiative Transfer (DART) for creating 3D vegetation scenes and simulating LiDAR data, complemented by a background in LiDAR data processing and analysis.

Dr. Mkaouar's research encompasses diverse areas, vegetation structure modeling, simulating spaceborne, airborne, and terrestrial LiDAR data across various vegetation landscapes, with a specific focus on forests.

Current Projects

Surface, Topography and Vegetation

Remote Sensing

https://science.nasa.gov/earth-science/decadal-surveys/decadal-stv/

Education

  • PhD, computer system engineering, Image and signal processing, ENIS, University of Sfax, Tunisia, 2022
  • Engineering degree, Telecommunication, ENET'COM, University of Sfax, Tunisia, 2017
  • Bachelor's degree, Mathematics, 2012


Selected Publications

Refereed

2024. "Leaf properties estimation enhancement over heterogeneous vegetation by correcting for terrestrial laser scanning beam divergence effect." Remote Sensing of Environment 302 113959 [10.1016/j.rse.2023.113959] [Journal Article/Letter]

2023. "Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (II) optimizing acquisition configurations." Remote Sensing of Environment 298 113824 [10.1016/j.rse.2023.113824] [Journal Article/Letter]

2023. "Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data." Remote Sensing of Environment 298 113825 [10.1016/j.rse.2023.113825] [Journal Article/Letter]

2021. "Joint Estimation of Leaf Area Density and Leaf Angle Distribution Using TLS Point Cloud for Forest Stands." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 11095-11115 [10.1109/jstars.2021.3120521] [Journal Article/Letter]

Contact Us

Jocelyn Lynch
Project Support Specialist
301-286-6066
jocelyn.m.lynch@nasa.gov
Ellie Jeffries
Project Support Specialist
301-286-6066
ellen.e.jeffries@nasa.gov

Technical issues with this website may be reported to karen.smale@nasa.gov.
General inquiries about the scientific programs at NASA's Goddard Space Flight Center may be directed to the Center Office of Communications at 1.301.286.8955.