Application of advanced processing of the remote sensing data on land use and land cover changes in Zangilan, East Zangezur

Land use and land cover (LULC) changes covering the 32-year period during which the Zangilan region was occupied and liberated from occupation were carried out in this study. The process was compared using and classified open-source Landsat 4, 5, 8, 9, and Sentinel 2 data with 10-year periods, plus the data ingested after the liberation date. The discrete indexing method was developed and applied for this study. The method we applied was based on calculating various indices and their application in the classification process to increase accuracy. The indices we used include the Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI), and Salinity Index (SI). The validity of the process has been checked using the SNAP ESA algorithm, based on Java Approximator, resulting in over 96.7% correct predictions using the testing dataset.