REMOTE SENSING

Friday, October 1, 2010

Thursday, September 23, 2010

Thursday, September 2, 2010

HYPERSPECTRAL

Dr Laili Nordin (2010) is using AeroGANO System to detect and map early stage of palms infested by Ganoderma disease. The system comprises hyperspectral remote sensing data and tomography detector. Several correlation algorithms has been developed, using hyperspectral data for mapping ganoderma infested palm, and the degree of infestation is been verified using tomography detector.

GANODERMA

What is Ganoderma disease?
The Ganoderma Basal Stem Rot (BSR) disease is caused by bracket fungus Ganoderma. It is lethal and incurable for more than 50 years now. During replanting, if the old oil palm trunks are left to rot on the ground, various fruiting bodies of Ganoderma may be produced and thrive. Ganoderma Basal Stem Rot (BSR) is fast becoming a major threat to oil palm cultivation and palm oil production countries.
It has also been reported that the disease is present in more than 53% of the oil palm plantations in Peninsular Malaysia. Without treatment, more than 80% of the affected plants may die by the time they reach less than halfway through their lifespan. The losses can amount to a reduction of 25% to 45% yield in fresh fruit bunches.

Hyperspectral Remote Sensing

Hyperspectral remote sensing data used in the Ganoderma mapping is quite a new technology. It is also known as imaging spectroscopy. It is being used by scientists to the detection and identification of minerals, terrestial vegetation, and man-made materials and backgrounds.

Hyperspectral remote sensing combines imaging and spectroscopy in a single system which often includes large data sets and require new processing methods. Hyperspectral data sets are generally composed of about 100 to 200 spectral bands of relatively narrow bandwidths (5-10 nm), whereas, multispectral data sets are usually composed of about 5 to 10 bands of relatively large bandwidths (70-400 nm).