Investigating Land Cover Changes by Remote Sensing and GIS Methods: A Case Study of Bashiqa City, Ninawa, Iraq
Socio-economic shocks, technogenic disruptions and military conflicts always seem to have major impacts on regional and national food safety through disruption of agricultural production and food trade, lower incomes and degradation of soil and facilities. Recent studies conducted have focused on the impact on people's misery in Iraq of the conflict between the Islamic State of Iraq and Syria (ISIS) and Iraqi Armey, but little is known about the effects of this conflict on the land cover features. Digital change detection approaches make it much easier to recognize the nature of the landscape by utilizing multi-temporal satellite data. This research indicates Bashiqa, Al-Hamdaniya city, Ninawa, Iraq's patio-temporal land use/cover dynamics. Satellite imagery from Landsat was acquired in 2009 and 2019 and the alterations in the targeted area were examined over a 10 year period. Support Vector Machine (SVM) was implemented in ENVI (5.1v) software as a supervised classification strategy. Images from the area of study are categorized into five land cover classes; Olive, Agricultural Land, Vegetation, Built-up Land and Barren Land. Results demonstrate that olive, vegetation, and built-up land have increased by 12.1%, 10.6%, and 5.7% over a 10-year period, whereas barren and agriculture have decreased by 18%, and 10.4% respectively. This research furthermore shows the significance of digital change detection strategies base on SVM for the Bashiqa shift's existence and location.