استعمال تقنيتي الاستشعار عن بعد و نظم المعلومات الجغرافية للتنبؤ بحالة الغطاء الأرضي في محافظة ميسان لغاية 2032 باعتماد أنموذج (CA-MARCOV)‎

Abstract EN

The aim of this study is to employ CA-MARCOV as an advanced tool for predicting the state of land cover in Maysan Governorate until 2023 as a sophisticated tool representing the integration of GIS and remote sensing.

To predict the state of land cover and land use in Maysan Governorate.

The study found that the land cover and land use categories in the study area have a certain consistency with the current conditions, as is the case of the landless land type, which recorded (0.4997) for the possibility of moving it at the expense of agricultural land.

This is a big problem that requires serious pause in investing vast areas And support the agricultural sector through the development of appropriate plans for investment of agriculture, development and support by the state, and encourage farmers to engage in agriculture to prevent the transformation of a large part of the agricultural land in the province of Maysan to Desertified land during the next 16 years Year 2032.