Archeological studies require a precise and interdisciplinary approach. Use of the noninvasive methods in urban area investigations is expected because they do not result in any changes in land architecture plans. Very good combination fulfilling such demands are geochemical analyses of: pH, Eh, conductivity and heavy metals concentrations in soils and the results of the ground penetrating radar method. These methods allow for a more precise selection of places of interest and can be also used for a more accurate calibration and better interpretation of subsequent results. Proposed methodology gives good final results thanks to complementarity of each method and can be used under variable conditions.

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Ground Penetrating Radar (GPR) is one of the most effective and rapid types of geophysical surveys methods. The variety of its uses is limited only by the availability of components such as antennas with different frequencies of emitted radio waves. The application of GPR ranges from engineering applications and geological investigations to assessing the condition of old trees. The authors tested GPR measurements in a geological exploration of a newly discovered limestone cave in the Ś więtokrzyskie Mountains region, the Odstrzelona Cave in Kowala, near the village of that name. Investigations were ordered by the municipality of Sitkó wka-Nowiny, in the Ś więtokrzyskie district in Poland. GPR surveys were conducted in the vicinity of a known cave entrance to see if information could be gained on nearby karst features. GPR investigations documented two additional chambers and a few more openings in the limestone. Unfortunately, they are probably too small to explore.

An infrastructure development requires a precise indoor localization plan of cables, pipes or reinforcing elements. Due to the age of many buildings in Poland such plans often do not exist or do not contain the evidence of numerous activities carried out over years like repairs or modifications. Due to this situation demands for application of geophysical methods grow, especially with respect to the Ground Penetrating Radar (GPR) method. A possibility of precise localization of hidden objects arises with the use of high frequency antennas together and with precise measuring grid. Research carried out at the request of one of the departments of AGH University of Science and Technology in building B2 showed great potential of GPR methods in this field. The study was devoted to recognition of structure of the concrete floor. The obtained results gave very precise location of numerous objects of interest and they became a good sample of high resolution investigations. The survey was performed with ProEx unit, produced by a Swedish company Mala Geoscience, which is in the possession of the

Ground Penetrating Radar (GPR) is one of the most effective and rapid types of geophysical survey methods. The present study was carried out in the Botanical Garden in Kielce, which is currently undergoing a second stage of infrastructure development. This object is located in the Świętokrzyskie (Holy Cross) Region, characterized by large scale deformations in the development of karst origins. Those structures threaten existing buildings and can be obstacles to newly constructed ones. Radargrams presented in this paper show significant potential of the GPR method in mapping of karst phenomena. Proper acquisition parameters and optimal processing of raw data resulted in a clear image of the structure of rock mass under the Botanical Garden, along acquired profile lines. Additionally, precise GPS coordinate links and established researchers' experience of conducting this type of surveys helped in the process of mapping the anomalies in the limestone. Under these conditions, the survey minimized the need for a second method and resulted in high quality data acquisition. The study provided information about underlying rock mass structure development and registered anomalies whose origins include voids or caves of karst genesis. The area studied covers a large part of the Botanical Garden. Described anomalies can be dynamic in origin.