Simple Search:

Airborne hyperspectral sensor for individual species counting and mapping of Karas (Aquilaria malaccensis) in Bukit Nanas F.R, Malaysia.


Citation

Jusoff, Kamaruzaman (2009) Airborne hyperspectral sensor for individual species counting and mapping of Karas (Aquilaria malaccensis) in Bukit Nanas F.R, Malaysia. World Applied Sciences Journal, 7 (10). pp. 1246-1251. ISSN 1818-4952

Abstract / Synopsis

Karas (Aquilaria malaccensis) is well known for producing gaharu, a fragrant material which is extremely valuable for cosmetic products manufacturing. Due to its un-permitted harvesting, there is an alarming depletion in the natural forests, which requires some forms of quick monitoring in near real time. A study on the spatial distribution of Karas trees in Bukit Nanas F.R., Federal Territory (FT) was therefore conducted to identify, quantify and map its geospatial distribution using an airborne hyperspectral sensor. Using a Sobel filter and Spectral Angle Mapper (SAM) processing techniques, a digital geospatial distribution map with an accuracy of 89.47% showing 38 individual Karas trees was developed. This study demonstrated that individual Karas trees can be easily counted and mapped with an airborne hyperspectral sensor which may lead to possible estimation of gaharu production for its future sustainable management and conservation efforts in FT, Malaysia.


Download File

[img]
Preview
PDF (Abstract)
Airborne hyperspectral sensor for individual species counting and mapping of Karas.pdf

Download (85kB) | Preview

Additional Metadata

Item Type: Article
Subject: Remote sensing - Data processing - Malaysia
Subject: Aquilaria malaccensis - Conservation - Malaysia
Divisions: Faculty of Forestry
Publisher: IDOSI Publications,
Keywords: Airborne hyperspectral sensor; Karas (Aquilaria malaccensis); Individual tree; Mapping; Precision inventory; Conservation
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 31 Jul 2012 11:31
Last Modified: 09 Oct 2015 08:57
URI: http://psasir.upm.edu.my/id/eprint/18860
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item