Teknik Cepat Identifikasi Lahan Terbuka Melalui Citra Multi Temporal dan Multi Spasial
Abstract: This study describes
the use of multitemporal principal
component analysis (MPCA) and vegetation index differencing (VIDN) techniques
in identifying open area on post-coal-mining sites using multi spatial and
multidate of Landsat TM and SPOT 4 XS imageries. The study revealed that the
synthetic images derived from stable brightness, stable greenness,s and delta
brightness of MPCA summarize information on post-coal-mining opened areas
provided overall accuracy of 76.47% for the new ex mining area and 32.69% for
old ex mining area. The VIDN method provided relatively lower accuracy than
those from MPCA i.e. 58.87% for new ex mining and 13.25% for old ex-mining
areas. The study also concluded that identifying open area on post-coal-mining
sites using imageries was more efficient than using only ground survey,
providing cost efficiency of 29%. This indicates that the cost required using
satellite image is only 29% of the cost required for ground survey. The study
concluded that MPCA is better than VIDN for identifying open area on
post-coal-mining sites.
Keywords: multitemporal
principal component analisys, vegetation index differencing, stable brightness,
stable greenness, delta brightness
Penulis: Ahyar Gunawan, I
Nengah Surati Jaya, dan Muhammad Buce Saleh
Kode Jurnal: jpkehutanandd100052
