Adjunct Faculty: Lado Kenyi

Lado Kenyi is a research scholar with the lidar group at the University of Maryland. He is sponsored by the European Union (EU) under the Marie Curie outgoing international fellowship program. He completed his PhD in Applied Mathematics at Graz University of Technology (Austria) in 1995. His current research focuses on retrieval of biophysical parameters by the combined use of lidar and other EO remotely sensed data. Before joining the University of Maryland in June 2005, he served as a remote sensing research scientist at the Institute for Digital Image Processing, Joanneum Research Forschungsgesselschaft mbH in Graz, Austria. During this period he led the development of the SAR interferometry processing tools that are part of the institute developed commercial software package RSG “Remote sensing Software Graz”. He also performed research work and managed a number of ESA and EU supported projects and other projects that were financed by the Austrian government.

Example Publications:

L. W. Kenyi and Mathias Schardt 2004: Preliminary Analysis of Multi-frequency, Polarimetric and Interferometirc Airborne SAR Data for the Retrieval of Alpine Forest Parameters. Proceedings of the 4th International Symposium on the Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, Innsbruck, Austria, 16-19 November, in CD.

L. W. Kenyi and Mathias Schardt 2004: Application of ENVISAT ASAR Data for Alpine Land Use Classification. Proceedings of ESA ENVISAT Symposium, Salzburg, Austria, 6-9 September, in CD.

L. W. Kenyi and V. Kaufmann 2003: Estimation of Rock Glacier Surface Deformation Using SAR Interferometry Data. IEEE Transactions in Geoscience and Remote Sensing, vol. 41, no. 6, June 2003, pp. 1512-1515.

L. W. Kenyi and Mathias Schardt 2002: Multi-sensor and Interferometirc Retrieval Techniques. Final Project Report, Volume II, Forest Application, Prepared for ESA-ESTEC under ESA Contract No. 14568/00/NL/JA.