Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Cocoa plant mapping in Aceh Tamiang regency, Aceh Indonesia: an object-based image analysis approach

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • المؤلفون: Rizki, W A; Sugianto, S; Fazlina, Y D; Rusdi, M; Wijaya, L
  • المصدر:
    IOP Conference Series: Earth and Environmental Science ; volume 1297, issue 1, page 012088 ; ISSN 1755-1307 1755-1315
  • نوع التسجيلة:
    article in journal/newspaper
  • اللغة:
    unknown
  • معلومة اضافية
    • بيانات النشر:
      IOP Publishing
    • الموضوع:
      2024
    • نبذة مختصرة :
      Cocoa is one of the leading commodities of plantations that has a vital role in the Indonesian economy. Due to the unavailability of detailed cocoa area data in Aceh Tamiang Regency, mapping was carried out by utilizing remote sensing technology. This study aims to map and determine the distribution of cocoa plants in Aceh Tamiang Regency using the object-based image analysis (OBIA) method and the accuracy test of the OBIA method to map cocoa plants. The object-based image analysis (OBIA) classification results for cocoa plants covered 946.87 ha and cocoa plants spread across 12 districts in Aceh Tamiang Regency. The widest distribution of cocoa is in Karang Baru District, 139.22 ha with a percentage of 14.70%, and the smallest area in Kota Kualasimpang District, covering an area of 6.30 ha with a rate of 0.67%. The results of the accuracy test to map cocoa plants using the OBIA method obtained an overall accuracy value of 95% and a kappa value of 86%.
    • الرقم المعرف:
      10.1088/1755-1315/1297/1/012088
    • الرقم المعرف:
      10.1088/1755-1315/1297/1/012088/pdf
    • الدخول الالكتروني :
      http://dx.doi.org/10.1088/1755-1315/1297/1/012088
      https://iopscience.iop.org/article/10.1088/1755-1315/1297/1/012088
      https://iopscience.iop.org/article/10.1088/1755-1315/1297/1/012088/pdf
    • Rights:
      http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
    • الرقم المعرف:
      edsbas.A6433A7D