This study aims to analyze and assess studies published from 1992 to 2019 and listed in the Web of Science (WOS) and Current Contents (CC) databases, and to identify agricultural abandonment by application of remote sensing (RS) optical and microwave data. We selected 73 studies by applying structured queries in a field tag form and Boolean operators in the WOS portal and by expert analysis. An expert assessment yielded the topical picture concerning the definitions and criteria for the identification of abandoned agricultural land (AAL). The analysis also showed the absence of similar field research, which serves not only for validation, but also for understanding the process of agricultural abandonment. The benefit of the fusion of optical and radar data, which supports the application of Sentinel-1 and Sentinel-2 data, is also evident. Knowledge attained from the literary sources indicated that there exists, in the world literature, a well-covered problem of abandonment identification or biomass estimation, as well as missing works dealing with the assessment of the natural accretion of biomass in AAL.
Use of the microgravity technique for cavity detection in the exploration of historical buildings requires careful data acquisition and modern processing procedures. We have developed a new method for the calculation of building effects, where geodetic measurements and special photogrammetric software are used. In our new approach, a three-dimensional polyhedral model of an historical building is created from images using Eos System's PhotoModeler Scanner software. A comparison of equations for the calculation of the gravitational effect of polyhedral bodies is presented on a simple test model. The methodology of microgravity data processing is demonstrated on a small Slovak church, where two crypts were successfully detected using microgravity and GPR techniques in summer 2009. We have shown that close range photogrammetry methods offer a possibility to improve the microgravity data processing procedure.
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