Valeriu STOILOV‐LINU 1,2, Irina Simona AIONESĂ 1,
Ana‐Maria DANILA 1, Bogdan‐Mihai NEGREA 1,3*
1 National Institute of Economic Research “Costin C. Kirițescu”, Centre of Mountain Economy CE-MONT, Petreni no. 49, 725700, Vatra Dornei, Romania
2 Geography Department, Doctoral School of Geosciences, Geography and Geology Faculty, ”Alexandru Ioan Cuza” University of Iași, 20A Carol I, 700505, Iași, Romania
3 Faculty of Natural Sciences and Agricultural Sciences, Ovidius University Constanța, Aleea Universitatii no. 1, building B, 900470, Constanța, Romania
* Corresponding author: bogdan.negrea@ce‐mont.ro
DOI: https://zenodo.org/doi/10.5281/zenodo.13353813
Abstract
Interdisciplinary research in the mountain area is based on the shape of the land surface. This, in order to be taken into account, must be transformed into a quantitative element, thus resulting in the numerical models of the land, with variations over time and in different postures. These numerical models can be realized depending on the nature of the study, through different technical means. Current techniques allow and facilitate the creation of multitemporal databases. These data obtained from the field represent the support for the construction of digital elevation models.
The methodology focuses on creating a database, in a three-dimensional perspective, by means of the UAV (Unmanned Aerial Vehicle), droning, and the available remote sensing means. Thus, through satellite or photogrammetric images, watersheds and sediment accumulation areas can be delimited based on the spatial arrangement of pixels; also can be analyzed the specifics of the vegetation, the way of use and coverage of the land in an area, or the geomorphological evolution of some points of interest by making temporal differences.
The study area given as an example is one with mountain specifics, within the hydrographic basin of the Bistricioara River, in the Eastern Carpathians. Here three control areas were chosen. The results consist in the digitization of real features in the field, in the form of indicators or 3D numerical models on the OXYZ axes. These types of investigations can be repeated at well-established time intervals and can mark the evolutionary differences within the studied areas.
Keywords:
UAV, Bistricioara basin, remote sensing, DEM, satellite images, Landsat, Sentinel, supervised classification, mountain area