USE OF GIS AND REMOTE SENSING TECHNIQUE FOR CREATING APIARY INVENTORY, MANAGEMENT AND MONITORING, A CASE STUDY FROM KÜÇÜK MENDERES BASIN
Project no. 986 · Status: Kapanmış · 2016
Summary
<p>The development of beekeeping in our country at a level that can provide an economic return is directly related to the quality of apiaries. Today, site selection for beekeeping is mostly determined by trials, and the levels of nectar or pollen yields are based on estimation. As a result of the inefficient apiaries determined by hearsay recipes, the beehives are relocated or settled for low yield and quality. In today's technology, satellite images provide data to produce plant indexes and present them to users. Indices such as NDVI or SAVI, which are produced by using image recordings made in infrared wavelengths, which are especially used to identify plants, can provide plant density by eliminating the effect of topography. Plant density is very important in beekeeping selection. However, besides the plant density, the ratio of nectar plants in the population is the second important parameter that determines the apiary yield. Leaf shape, density, and time of being in nature depending on plant phenological characteristics are important clues for distinguishing them in satellite images. In this project, it was tried to determine the location and quality of the apiaries, considering the plants' characteristics. Another parameter that affects the development of apiaries throughout the year is soil properties. The soil's ability and the geological formation on which it is located to hold water and provide water to the plant in summer is very important for the natural vegetation to survive. Another basic parameter affecting plant density and diversity is climate and altitude. Humid or arid climatic conditions determine the plant density and the duration of its presence in the environment. In addition, plants’ flowering time and density are directly related to nectar yield. These reasons show the necessity of a multi-parameter approach for the selection of apiary sites. This project is aimed to determine the bee areas with a multi-parameter approach and to present them to the producer in the example of Küçük Menderes Basin. Sentinel 2 satellite images, soil maps, climate data and topographic maps were used as main materials in the project.</p>