Radar Remote Sensing of Vegetation
Pasadena, Los Angeles County, California, 91122, USA
Listed on 2025-12-31
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Research/Development
Research Scientist, Postdoctoral Research Fellow
Organization
National Aeronautics and Space Administration (NASA)
Reference Code0048-NPP-MAR
26-JPL-Earth Sci
All applications must be submitted in Zintellect. Please visit the NASA Postdoctoral Program website for application instructions and requirements:
How to Apply
| NASA Postdoctoral Program (orau.org).
A complete application must include:
- Research proposal
- Three letters of recommendation
- Official doctoral transcript documents
3/1/2026 6:00:59 PM Eastern Time Zone
DescriptionThe NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute.
The NPP offers one- to three-year fellowships that advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
This research opportunity is for candidates with a special interest in radar remote sensing of vegetation. The proposed project includes radar scattering and ecosystem modeling. Remote sensing data is used to estimate vegetation 3D structure parameters such as height. The radar data (Interferometric Synthetic Aperture Radar or inSAR) was collected by spaceborne ALOS/PALSAR and airborne UAVSAR systems. The candidate will be responsible for processing repeat-pass inSAR data and implementing efficient data calibration algorithms based on heterogeneous spatial sampling of ground truth points extracted from existing Lidar (ICEsat/GLAS) and field data sets.
Ecosystem models widely available in the literature will be driven using the derived vegetation parameters.
Relevant publications: M. Simard, K. Zhang, V. H. Rivera-Monroy, M. Ross, P. Ruiz,
E. Castañeda-Moya,
E. Twilley,
E. Rodriguez. “Mapping Height and Biomass of Mangrove Forests in the Everglades National Park with SRTM Elevation Data”, Photogrammetric Engineering & Remote Sensing, Vol. 72, No. 3, March 2006, pp. 299–311; and M. Simard, G. DeGrandi, S. Saatchi, P. Mayaux, “Mapping tropical coastal vegetation using JERS-1 and ERS-1 radar data with a decision tree classifier
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