New Search

Export article
Open Access

COMPARISON OF SEAGRASS COVER CLASSIFICATION BASED ON SVM AND FUZZY LOGIC ALGORITHMS USING MULTI-SCALE IMAGERY IN KODINGARENG LOMPO ISLAND, SOUTH SULAWESI

Anisa Aulia Sabilah, Vincentius Paulus Siregar, Muhammad Anshar Amran
Jurnal Ilmu dan Teknologi Kelautan Tropis , Volume 13, pp 97-112; doi:10.29244/jitkt.v13i1.34765

Abstract: Seagrass beds play an ecological role in the shallow marine environment, such as a habitat for biota, primary producers, and sediment traps. They also act as nutrient recyclers. Since they have such an important role, this natural resource needs to be preserved. Therefore, continuous monitoring and mapping of seagrass beds, especially by remote sensing methods, is paramount. The current rapid development of satellite sensor technology, especially its spatial and spectral resolutions, has improved the quality of the seagrass distribution map. The use of proper classification methods and schemes in the classification of seagrass distribution based on satellite imagery can affect the accuracy of the map, which is why various alternative algorithm studies are required. In this study, the support vector machine and fuzzy logic algorithms were used to classify the WorldView-2 and Sentinel-2 satellite imagery on Kodingareng Lompo Island with four classes of seagrass cover, sparse (0–25%), moderate (26–50%), dense (51–75%), and very dense (76–100%). The result showed that the fuzzy logic algorithm applied to WorldView-2 imagery has the best overall accuracy of 78.60% seagrass cover classification.
Keywords: classification / algorithms were used / seagrass / imagery on Kodingareng / Kodingareng Lompo Island

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

Share this article

Click here to see the statistics on "Jurnal Ilmu dan Teknologi Kelautan Tropis" .
Back to Top Top