Identifikasi Pohon Tropis di Daerah Perkotaan Menggunakan Multispectral Drone Imagery

Authors

  • Zainal Abidin Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Islam Negeri Maulana Malik Ibrahim Malang
  • Fatchurrohman Fatchurrohman Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Islam Negeri Maulana Malik Ibrahim Malang
  • Okta Qomaruddin Aziz Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Islam Negeri Maulana Malik Ibrahim Malang

DOI:

https://doi.org/10.33633/tc.v21i4.6778

Keywords:

Multispektral, citra drone, identifikasi pohon tropis

Abstract

Vegetasi di daerah perkotaan tumbuh diantara gedung dan jalan. Bangunan di sekitar pohon berdampak pada identifikasi tanaman menggunakan citra drone. Paper ini menjelaskan tentang perbandingan kemampuan citra drone pada band cahaya tampak, near infrared, dan red-edge untuk identifikasi pohon tropis di daerah perkotaan. Kami menyusun dataset yang berisi paduan pohon saman (Samanea Saman), cemara (Casuarina equisetifolia), dan pohon-lain. Setiap citra melalui tahapan proses filtering, segmentasi, dan classification. Hasil uji coba menunjukkan bahwa band cahaya tampak dapat mengidentifikasi saman, cemara, dan pohon-lain dibandingkan dengan citra pada band near-infrared dan red-edge.

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Published

2022-11-30

Issue

Vol. 21 No. 4 (2022): November 2022

Section

Articles

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Copyright (c) 2022 Zainal Abidin

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