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CHARACTERIZATION OF A TERRITORIAL ADMINISTRATIVE UNIT BASED ON REMOTE SENSING IMAGES.

Authors :
BERTICI, R.
HORABLAGA, Adina
POPESCU, C. A.
DRAGOMIR, L. O.
DICU, D.
BERE–SEMEREDI, Iudit
HERBEI, M. V.
SALA, F.
Source :
Research Journal of Agricultural Science. 2023, Vol. 55 Issue 2, p13-20. 8p.
Publication Year :
2023

Abstract

Remote sensing, regardless of the nature of the applications, uses electromagnetic radiation to obtain images of bodies from a certain altitude (plane, satellite, balloon, helicopter) because in this way, the image can be used to obtain maps and plans, and interpretation of objects is optimal and easy. The remote sening (RS) techniques are used in a lot of studies, in the dynamics of changes in the cover of the vegetal carpet, in forecasting studies, in various fields such as: agriculture, environmental protection, forestry. Remote sensing systems are developing rapidly and support the decision-making process due to the effectiveness of remote sensing images that can provide useful spectral information. The present research had as its main purpose the study of the dynamics of entire UAT Satchinez, based on the spectral information obtained from Ladsat 8 satellite images and processed with specialized GIS and remote sensing programs namely ERDAS Imagery and ArcGIS, on the basis of which thematic maps were created with various combinations of spectral bands and 3 normalized indices of differentiation, useful in monitoring and analysis processes of the territory. It was downloaded and processed a satellite scene from the LANDSAT 8 remote sensing system, who receives satellite images in 11 spectral bands. Based on the spectral bands, various differentiation indexes useful in territorial analysis can be calculated: NDVI, SAVI, NDMI. These indices are calculated based on mathematical formulas that use the spectral bands of the remote sensing system used. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20661843
Volume :
55
Issue :
2
Database :
Academic Search Index
Journal :
Research Journal of Agricultural Science
Publication Type :
Academic Journal
Accession number :
174805786