A Case Study of Developing An Olive Tree Database For Turkey

作者：Ceylan Nihal^*; Unal Ediz; Masson Josiane

来源：Photogrammetric Engineering and Remote Sensing, 2009, 75(12): 1397-1405.

DOI：10.14358/pers.75.12.1397

This study was conducted to develop an olive tree registration database using geographic information systems (GIS) and remote sensing technology. It also provides information on the methodology used for the database development for the candidate country during its accession process to the European Union. Since olive farming has a great importance to the Turkish economy, an olive registration database supported by GIS and compatible with the Integrated Administrative Control System (IACS) is needed for adaptation to the European Commission Common Agricultural Policy. In this study, codastral maps and satellite images were used to count olive trees using the OLICOUNT software developed by the joint Research Center of the European Commission in order to develop an olive tree database. According to the analysis of the counting results for the test sites with 2,291 trees, overall omission error was 11.1 percent and commission error was 2.94 percent. These results indicate that the determination of olive trees by OLICOUNT within the area of interest has 90.37 percent accuracy that makes the method reasonably reliable.

• 出版日期2009-12