Title of article :
Individual mangrove species identification and mapping in Port Klang using UPM-APSB’S Asia hyperspectral imaging
Author/Authors :
JUSOFF, K. Universiti Putra Malaysia - Lebuh Silikon Faculty of Forestry - Forest Geospatial lformation Survey Lab/ Aemscan Precision (M) Sdn Bhd, Malaysia
From page :
27
To page :
36
Abstract :
Every natural and synthetic object on the earth s surface and near surface reflects and emits electromagnetic radiation (EMR) over a range of wavelengths in its own characteristic way according to its chemical composition and physical state. With a narrow contiguous 288 maximum bands ranging from visible (VIS) to near infra-red (NIR) wavelength region available on hyperspectral sensors, a particular object/feature or condition often exhibits a diagnostic spectral response pattern that differs from other objects. The objectives of this study are therefore to assess the capability of AISA airborne hyperspectral imaging for individual mangrove species mapping and to determine the wavelength regions that define the inherent spectral characteristics amongst mangrove species. A total of nine groups of mangrove species spectral separability from 19 selected mangrove trees were identified in Port Klang, Selangor namely Lumnitzera littorea, Rhizophora mucronata, R. stylosa, Sonneratia alba, Avicennia officinalis, Rhizophora apiculata, Bruguiera parviflora, B. gymnorrhiza, B. cylindrical and S. caseolaris. The nine groups of individual mangrove species were easily identified and separated in the NIR range (700-900 nm) with the following spectral values namely (a) 1,750-6,000: B. cylindrical, (b) 2,000-7,750: B. gymnorhiza, (c) 1,875-8,250: B. parviflora, (d) 1,875-5,500: A. officinalis, (e) 1,625-6,250: S. caseolaris, (f) 1,875-5,250: S. alba, (g) 1,750-7,500: R. apiculata, (h) 2,000-8,000: R. stylosa, (i) 2,200-7,000: R. mucronata. The results of this study indicated that the mangrove species under study could only be identified at the near infrared (NIR) wavelength bands (700-900 nm) and not in the visible (VIS) spectrum.
Keywords :
airborne , hyperspectral sensing , mangrove , mapping
Journal title :
Journal of Sustainability Science and Management
Journal title :
Journal of Sustainability Science and Management
Record number :
2574132
Link To Document :
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