Dem, Slope and Aspect Parameters in the Characterization of a Terrestrial Area through Remote Sensing
Abstract
The study used remote sensing techniques to analyze and characterize a land area based on DEM, SLOPE and ASPECT parameters. An area of 5337,368 ha was considered, within the Surduc ATU, Timis County, Romania. Satellite scenes (Sentinel 2) were taken in the summer season, 2025. The territory was classified, considering nine classes within each parameter (DC1 to DC9 for DEM; SC1 to SC9 for SLOPE; AC1 to AC9 for ASPECT). Within the DEM parameter, two classes (DC1 and DC2) presented a larger area compared to the class average, with statistically significant differences (p
Fields of Study & Subjects
Remote Sensing in Agriculture
Groundwater and Watershed Analysis
Land Use and Ecosystem Services
Publication details
- Journal / source
- LIFE SCIENCE AND SUSTAINABLE DEVELOPMENT
- Volume
- 6
- Issue
- 2
- Pages
- 57–65
- Publication date
- 2 January 2026