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USE OF GEOMATIC TECHNOLOGIES IN LAND SURFACE ANALYSIS - CASE STUDY A.T.U. BARZAVA, ARAD COUNTY
Abstract
Remote sensing techniques are increasingly used in land surface monitoring processes. The development of satellite systems has led to increasingly complex research in terms of analysis and monitoring of large land areas, with reduced costs and high efficiency. In this research, a satellite scene from 03.07.2024 taken over by the Landsat 9 remote sensing system was used, the scene identifier being LC09_L2SP_186028_20240730_20240731_02_T1, WRS_PATH 186 and WRS_ROW 28, UTM projection system, Datum WGS84, Ellipsoid WGS84, UTM Zone 34N. This satellite scene covers the Arad County study area in western Romania. Based on the spectral bands of the Landsat 9 system, 3 remote sensing indices were calculated: Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI) and Transformed Soil Adjusted Vegetation Index. A thematic map of the soils in the analyzed area was also created and the index values were calculated for the identified soil categories. The variation of the NDVI index with the SAVI index was described by 4 linear equations, under conditions of statistical safety: R2 = 0.999, p = 0. An analysis was also performed between the index value for each soil class and the average of each index. In the case of the three indices, it was found that above-average values were recorded in the case of classes SC1 (Argillusols) and SC2 (Cambisols), and below-average values were recorded in the case of classes SC3 (Hydromorphic) and SC4 (Undeveloped, truncated or unclogged). Finally, a cluster analysis was performed in which the four soil classes are presented.
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