Based on Google imagery and field-collected land-use data from the study area in 2020, 1645 training samples with seven land-use types were retrieved. Landsat images were selected as the data source on the Google Earth Engine (GEE) platform, and samples were used as input data for land-...
(2020) and Ahani and Dadashpoor (2021) both undertook a systematic review of the relevant literature to understand the existing approaches and methods for demarcating peri-urban areas across the world [49,110]. Mortoja and Yigitcanlar (2022) used night-time light data and Landsat images to ...
The maps were constructed by correlating the information from the observation sheets with remote sensing and GIS techniques to identify the distribution of different land uses (residential, commercial, green areas, etc.). The mapping was performed during the second half of 2021, using Landsat ...