Queries of Agricultural Areas Falling into Cadastral Parcels and Organizing and Analyzing Them with Python Programming Language


SARALIOĞLU E. , YILDIRIM D. , GÜNGÖR O.

FIG Working Week 2015, Sofia, Bulgaria, 17 - 21 May 2015, pp.1-10

  • Publication Type: Conference Paper / Full Text
  • City: Sofia
  • Country: Bulgaria
  • Page Numbers: pp.1-10

Abstract

Turkey is the largest hazelnut producer and exporter in the world with approximately 79% of worldwide production. Turkey also takes the fifth place in production of tea after China, Kenya, India and Sri Lanka. Most of Turkish hazelnut and tea production comes from the eastern Black Sea region of Turkey, which has a mild climate with high precipitation and fertile soil. In this study, hazelnut and tea plantation areas, which were determined previously with multispectral image classification of WorldView-2 image data, are queried and analyzed with ArcGIS 10.2 software to create a Geographic Information System (GIS). The tea and hazelnut cultivation areas are categorized according to the slope information of each cadastral parcel and quantitative results are obtained as the result of queries and spatial analysis are displayed as thematic maps. In addition, land use maps are created and intersected with up-todate cadastral maps to determine the total area of each agricultural product in each cadastral block. It is observed that a specific agricultural product such as tea, may not cover the entire cadastral parcel, but it is scattered as small pieced polygons having different IDs over the cadastral parcel. An ArcGIS-ready Python script is written and executed to collect and retrieve the total area per agricultural product. Afterwards, the resultant maps are created and displayed.