A RESEARCH ON REMOTE SENSING AND USING GIS TECHNIQUES FOR DETERMINATION OF REFERENCE PARCEL SETS
Project no. 880 · Status: Kapanmış · 2017
Summary
Agriculture is an important and strategic sector for the nutrition, employment and development of countries. At the same time, it is considered as a sensitive and strategic sector all over the world due to the nature dependent production. The nutrition of the world population can only be achieved through regular and uninterrupted food production. Especially in recent years due to climatic changes and global warming in this context, the world is in danger of hunger. Increasingly shrinking water resources significantly affect agricultural production. In addition, adequate and regular nutrition of the growing world population depends on the development of the agricultural sector by minimizing agricultural risks. In this context, agricultural insurance, commercial and non-profit, based on insurance principles and technical principles; with a modern, reliable, sustainable system, partially compensating for losses; to ensure the sustainability of production (food safety) by stabilizing the producers in the long term. In the management of agricultural risks, especially the use of remote sensing and geographical information systems (GIS) and monitoring of cultivated areas are very important for both the insurer and the insured. Early detection of losses that may occur in agricultural production is possible by using remote sensing techniques. In addition to climatic data, an effective risk management model can be formed by gathering topography, soil and land characteristics under a GIS database. In this research, it was aimed to identify and monitor the wheat cultivated areas which are important in terms of agriculture. In addition, the determination of the causes of yield deficiencies (diseases, pests or droughts) that might occur in these areas was investigated. In the research, wheat and barley cultivated areas in Kayseri-Bünyan and Ankara-Haymana districts were selected as pilot regions. The main soil characteristics such as large soil group, depth, erosion, salinity-alkalinity and stoniness in these areas and the topographic and physiographic characteristics of the lands were determined in the field. At the end of the study, the data obtained from remote sensing data related to soil and plant product pattern and data obtained from field studies were determined and geographically mapped by using geographic information systems software. In addition, the level of being affected by the conditions that may lead to loss of yield such as disease, pest or drought in these areas were determined by grading in parcel detail.