Soil and water conservation structures are vital for environmental resilience but present maintenance challenges due to their wide distribution and remote locations. To tackle these issues, a method using unmanned aerial vehicles (UAVs) combined with 360 degree photography was developed. UAVs captured images that were processed into panoramic and 3D models, enabling precise inspections of structural damage. These models were integrated into the disaster environment review and update (DER&U) rating system, enhanced by a fuzzy inference classification mechanism for improved damage estimation. Additionally, a management platform was created to boost overall efficiency and provide decision-making support for relevant authorities. The UAV-assisted inspection method demonstrated promising results, though certain limitations were also noted.

The paper presents the method of photogrammetric processing of SEM images and the results of its application to determine the spatial coordinates of the points of the microsoil of the forest soil by measuring their SEM images, obtained on SEM Hitachi S800 with a magnification of 1000x. Depending on the magnification (scale) of the SEM images, the accuracy of the method is: for M = 1000x - m(X,Y) = similar to 0.1 mu m, m(Z(h))= similar to 1.0 mu m, and for magnification M = 25000x - m(X,Y) = similar to 0.01 mu m, m(Z(h))= similar to 0.1 mu m. The article presents an unusual workflow based on processing in Dimicros, as well as examples of graphic interpretation of digital modeling of the forest soil surface microrelief in the form of microplanes with levels and 3D models obtained using the Surfer program. This information allows learning about the physical and mechanical properties of the soil, its structure, and its resistance to erosion, which is important in construction and environmental protection.