Downloads provided by UsageCounts
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.
Land use and land cover, remote sensing, MNDWI, urbanization, vegetation, agriculture, salinity
Land use and land cover, remote sensing, MNDWI, urbanization, vegetation, agriculture, salinity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 175 | |
| downloads | 28 |

Views provided by UsageCounts
Downloads provided by UsageCounts