Above-ground forest biomass is a significant variable in the terrestrial carbon budget, but is still estimated with relatively large uncertainty. Remote sensing methods can improve the characterization of the spatial distribution and estimation accuracy of biomass; in this respect, it is important to examine the potential offered by new sensors. To assess the contribution of the TanDEM-X missio...

In this paper, we describe the analysis of the TerraSAR-X high-resolution spotlight mode radar data in comparison with in situ measurements, optical imagery and ALOS PALSAR L-band radar data, for the purpose of investigating surface and subsurface features associated with ancient stones at Nabta Playa, Egypt. Many of the structures observable in the field and from high-resolution satellite opti...

This paper describes the development of a new ground penetrating radar system for measuring coal thickness in underground mining operations. Although subsurface radar exhibits significant potential for depth measurement, the raw signals are complicated and cannot be readily interpreted by mining personnel. We show how real-time digital signal processing plays a key role in transforming the raw ...

In the United States, the WSR-88D (NEXRAD) Doppler weather radar network will be upgraded with a dual polarization capability (Istok et al., 2009) beginning in late 2010. This will allow for type characterization of bulk scatterers (hydrometeor classification) in addition to the standard radar moments. Knowing which scatterers dominate a radar return offers physical insight into underlying atmo...

Much work has been done toward reconstructing the electrical parameters of an unknown buried object. Many methods, and accompanying results from simulations, have been presented. Most research in the area, however, has been in developing imaging algorithms that have been tested primarily through computer simulation. This paper presents a newly constructed facility for ground-penetrating radar e...

The goal of our research is to develop an autonomous robot for subsurface mapping. We are motivated by the growing need for mapping buried pipes, hazardous waste, landmines and other buried objects. Most of these are large scale mapping problems, and to manually construct subsurface maps in these cases would require a significant amount of resources. Therefore, automating the subsurface mapping...