Tuesday 9. September 2021

A viva exam was held in the college of agriculture in presence of the college dean Prof. Dr. Idham Ali Abed, where MSc. Student (Ammar Jabbar Sabti) defended his thesis entitled (Studying the capability of the agricultural districts from Ramadi to Khaldiya using geospatial technologies), the viva committee was:

1. Prof. Muthana Khaliel Ibrahim / chief of the committee – internal examiner.

2. Assist. Prof. Mohammed Abdul Muneem Hassan- internal examiner.

3. Assist. Prof Halima Abdul Jabbar Abdul rahman – external examiner.

4. Prof. Ali Hussein Ibrahim – supervisor.

Due to the importance of the agricultural districts located between the cities of Ramadi and Khalidiya, 18163.5 hectares, which depend on groundwater and the Euphrates River as a source of irrigation. As well as the importance of using geospatial technologies in describing land use variability and variability in LULC during a period of 30 years.

A semi-detailed soil survey was carried out by a free survey method to determine the dominant soil chains in the area, the quality of irrigation water and its suitability for growing the wheat crop, and studying some geospatial evidence and its variations over time by analyzing the satellite visuals of the study area. It was noted that the secondary physiographic unit of river crevasse  soils was superior to the proportion they occupies of the total area of the region, with the diagnosis of the presence of eight sedimentary soils series dating back to the modern soil classification . The dominance in the productive capability of the land was of the second category, followed by the third category. Salinity, drainage and texture were recorded as the most important determinants of agriculture in the region. With temporal heterogeneity and continuous degradation of vegetation areas, offset by an increase in land areas within S2 and S5 compared to the S1 salinity class during the same period.

The importance of using the fuzzy approach method within the F-AHP hierarchical classification in land classification and evaluation processes. As well as the adoption of the correlation method within the audit of soil surveys and satellite visuals, which amounted to 81%, with the possibility of using geospatial technologies in finding and classifying the micro-climate within the study area. The thesis was accepted after making minor corrections recommended by the discussion committee.

Congratulations to the student and the supervisor.

Media section / Collage of Agriculture/ University of Anbar