Estimation Model of Site Quality of Teak (Tectona grandis) Using Very High-Resolution Imagery from Unmanned Aerial Vehicle in KPH Nganjuk

Kusnadi (Program Studi Ilmu Pengelolaan Hutan Sekolah Pascasarjana Institut Pertanian Bogor Jl. lingkar Akademik, Kampus IPB Dramaga, PO Box 168, Bogor 16680, Jawa Barat, Indonesia)
I Nengah Surati Jaya (Fakultas Kehutanan Institut Pertanian Bogor Jl. lingkar Akademik, Kampus IPB Dramaga, PO Box 168, Bogor 16680, Jawa Barat, Indonesia.)
Nining Puspaningsih (Fakultas Kehutanan Institut Pertanian Bogor Jl. lingkar Akademik, Kampus IPB Dramaga, PO Box 168, Bogor 16680, Jawa Barat, Indonesia.)
Makin Basuki (KPH Nganjuk, Perum Perhutani Unit II Jawa Timur, Nganjuk)
Lukman Hakim (KPH Nganjuk, Perum Perhutani Unit II Jawa Timur, Nganjuk)

Jurnal Penelitian Kehutanan Wallacea
Vol. 5 No. 2 (2016)

Site quality is one of the main information needed in forest stand management. Site quality classes need to be evaluated every certain period because the quality of forest stands may change as a result of management applied. This study describes the use of very high-resolution imagery derived from unmanned aerial vehicle (UAV) for estimating the site quality of teak (Tectona grandis). The UAV imagery used was taken from 400 m above datum (the average land surface elevation) with ground spatial resolution of 15 cm. Site quality estimation models was built using discriminant analysis. The study found that the best accuracy from discriminant function using multiple variables canopy density (C) and average of crown diameter (Dc ̅̅̅) is 60.9%.