- Satellite imagery provides high- and very-high-resolution images over extensive territories, ensuring a high level of detail in the obtained data.
- Continuous and repetitive acquisition of information on qualitative and quantitative characteristics of natural and anthropogenic objects and processes with precise geographic referencing through the processing of remote sensing data.
- Operational monitoring using satellite imagery enables the remote acquisition of real-time information about the situation on the ground, addressing the "human factor" effectively.
- Objective and up-to-date information about the territory of Russia and other countries without limitations.
- High frequency of image acquisitions.
LULC mapping cannot be achieved without the assistance of other geospatial datasets. Geospatial data includes not only maps and locations of land use and vegetation cover (LULC), but also numerous data attributes such as socio-economic data from population censuses.
Advancements in the use and accessibility of multi-temporal satellite and aerial (UAV) data, local environmental data, or other thematic raster data contribute to their wider use in environmental modeling.
LULC remote sensing provides synoptic information and point-based indexing (using 12 main indices) of land conditions, particularly vegetation growth conditions (primarily crops), over large geographic areas, almost in real-time.
Importantly, remote sensing methods do not require prior information about vegetation or land use types. They are independent of the people living on the land being studied, making remote sensing a more reliable method compared to paper-based reports.
The data obtained from high- and very-high-resolution satellite imagery for change detection can be obtained more quickly as they may already be available in the archives of the satellite operator, eliminating the need for coordination with government agencies for new acquisitions.
Change detection materials obtained from aircraft or UAV platforms possess high visual informativeness and excellent measurement properties but require more time for image acquisition due to the need for flight permission coordination, aircraft (UAV with operators) deployment to the survey area, and higher (multiple) cost per 1 km
2 of data. For change monitoring, multiple acquisitions throughout the year are necessary. Therefore, it is reasonable to execute this approach once a year to confirm the satellite imagery data.