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Search Results: 1 - 10 of 179 matches for " Kamaruzaman Jusoff "
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Estimating Cabbage Production in Cameron Highlands, Malaysia Using IKONOS Data
Kamaruzaman Jusoff
Advances in Natural Science , 2009, DOI: 10.3968/29
Abstract: The objective of the study is to map and count the individual cabbages at the early growth stage in Sg. Palas, Cameron Highland grown under a mix cropping system and estimate its production. With ground verification, an IKONOS 4 m multispectral imagery acquired on 25 February 2001 was digitally processed at an orthorectified level. A Digital Terrain Model (DTM) was developed and a scanned topographical map was overlaid with IKONOS data to precisely locate the attribute data and map the individual young growing cabbages. Using a supervised and unsupervised classification, less than and above 1.5 month-old cabbages were mapped and quantified. The algorithm and processing technique developed in this study can easily estimate a production of 25,000 cabbages/ha in Sg Palas area. Integrating the data with a Geographic Information System (GIS) may help Cameron Highland farmers to better market their cabbages in the future. The potential use of airborne hyperspectral imaging data such as UPM-TropAIR’s AISA TropAIRMAPTM to map and predict the supply of cabbages should be the next step in precision farming revolution using remote sensing. Keywords: Cabbage; Production; Market intelligence; High resolution; Satellite remote sensing
UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia
Kamaruzaman Jusoff
Modern Applied Science , 2009, DOI: 10.5539/mas.v2n6p90
Abstract: Mangrove forests are one of the most productive and bio-diverse wetlands environments on earth. In Malaysia, Forestry Department of Peninsular Malaysia (FDPM) has always been fully committed to the implementation of the sustainable forest management practices and in line with current concerns such as climate change, conservation of biodiversity and Tsunami, have brought about a heightened expectation on the political, socio-economic, ecological and environmental well-being of the country. Thus, managing mangrove forests is very challenging to the department and a precise geospatial database is urgently required. The objectives of this paper are to assess the capability of UPM-APSB’s AISA airborne hyperspectral imaging sensor for developing a geospatial database through an 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 were identified in Port Klang, Selangor namely Lumnitzera littorea, Rhizophora mucronata, R. stylosa, Sonneratia alba, Avicennia officials, R. apiculata, Bruguiera parviflora, B. gymnorhiza, B. cylindrical and S. caseolaris. The species were easily identified and separated in the NIR range (700 nm to 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. officials, (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. Results of this study indicated that the mangrove species could only be identified at the near infrared (NIR) wavelength (700 nm to 900 nm) and not in the visible (VIS) spectrum. With such a capability, the sensor should be in a position to provide a geospatial database of the Malaysian mangroves for Tsunami management and other purposes of interests. Future management of mangrove forests in P.Malaysia should then adopt an integrated approach by further refining the current management and incorporating latest findings and updated latest geospatial information through more vigorous airborne hyperspectral data acquisition on mangrove forest. With the future geospatial database developed from the sensor, the National Forestry Policy and other policies related to mangrove forests management can be revised from time to time to match latest prevailing conditions and requirement. The future success in developing a mangrove geospatial database using UPM-APSB’s AISA
Corporate Management Structure of Large Malaysian Construction Companies
KAMARUZAMAN JUSOFF
Journal of Management Research , 2008, DOI: 10.5296/jmr.v1i1.6
Abstract: Corporate management structure is crucial for the understanding of corporate governance. Companies will have their own structure of corporate management. The environment and their planning and control mode will have an impact on way they do things daily, monthly and yearly. Learning the structure that suited most for different types of organisation would then be important and fruitful for any part that are related or affected by it. The aim of this study is to explore the parent company of large construction companies managing their local subsidiaries in Malaysia. This study is based on survey of the Malaysian contractors and aims to identify the corporate management structure in the Malaysian construction industry. The study found that construction firm need to develop a long-term vision of its strategic intent and need to upgrade productivity and have new technology. Parent companies need to maintain quality products to clients to projecting sound track record. Construction companies need o provide quality services to meet their client’s in formulation and implementing corporate strategies and business plan. They need to explore new construction technology to have competitive the edge in the market and they have to expand for regional expansion for higher business growth and synergies diversification to broaden revenue source, marketing plan and expand overseas markets.
Precision Forestry Using Airborne Hyperspectral Imaging Sensor
Kamaruzaman Jusoff
Journal of Agricultural Science , 2009, DOI: 10.5539/jas.v1n1p142
Abstract: Universiti Putra Malaysia in collaboration with a private company, Aeroscan Precision (M) Sdn Bhd based in UPM Serdang conducted a research and commercial applications of airborne hyperspectral sensing data in precision forestry. The UPM-APSB’s AISA sensor was flown over a representative series of forested areas in Peninsular Malaysia from 12-20th. July 2004. It is a pushbroom imaging spectrometer recording remote sensing images over a large spectrum of wavelengths from the visible (400 nm) to near infrared (1 000 nm). Images have a ground pixel size of 1m by 1 m at a flight altitude of 1 000 m a.s.l and a constant flight speed of 120 knots. The ground validation segment of the projects was focused around hill/montane dipterocarps,. In order to characterize the properties and status of the forests, a number of images and field spectrum were developed. Prior to and after the flight, field spectral reflectance measurements using a handheld FieldSpec spectroradiometer were taken over the timber species of interest. The use of spectral unmixing methods for the discrimination of individual timber species image components leading to a more accurate identification of timber species, timber inventory and volume estimates were evaluated. The results imply that UPM-APSB airborne hyperspectral imaging technology would enable the development of a rapid forest resources assessment, especially in the sustainable forest management in Malaysia and other tropical countries.
Land Use and Cover Mapping with Airborne Hyperspectral Imager in Setiu, Malaysia
Kamaruzaman Jusoff
Journal of Agricultural Science , 2009, DOI: 10.5539/jas.v1n2p120
Abstract: In recent years, land use and land cover plays a pivotal role in global environmental change. Under these circumstances, the need of a new dimension for detecting land use and cover is getting more imperative for conservation and effective management of land use and cover types. Importantly, the use of information technology to support decision making in detecting land use and cover is essential and recent. One of the technologies used is Airborne Remote Sensing. The objective of this study is to identify, quantify, classify and map land use and land cover mapping in Setiu, Terengganu using UPM-APSB’s AISA airborne hyperspectral remote sensing. Detection of land use and cover was performed using airborne hyperspectral imaging data taken on 20 April 2006 with the support of existing land use and cover maps. The size of the study area is 100 ha. The image was displayed in ENVI 4.0 Software using bands 202217 (RGB) combination. The data were then enhanced and classified for different land use and cover classes. From the data analysis, the image can be classified into eight classes. The classes are 2-3 years old oil palm plantation, 4-5 years old oil palm plantation, young (3-4 years old) rubber plantation, matured (15-17 years old) rubber plantation, vegetation crops, open area, road and river. The land use and land cover classes area distribution of the plots under study in Setiu, Terengganu were 4.18 ha, 8.58 ha, 6.26 ha, 70.43 ha, 2.98 ha, 2.31 ha, 2.78 ha, and 2.48 ha. Overall, the classification accuracy of interpretation of the airborne imagery for land use and cover in Setiu, Terengganu is 89.51 and kappa coefficient is 0.86. This study shows that, airborne hyperspectral remote sensing technique is capable in identifying, quantifying, classifying and mapping land use and cover in Setiu, Terengganu, hence a good decision support tool in land use and cover planning and management.
Sustainable Management of a Matured Oil Palm Plantation in UPM Campus, Malaysia Using Airborne Remote Sensing
Kamaruzaman Jusoff
Journal of Sustainable Development , 2009, DOI: 10.5539/jsd.v2n3p195
Abstract: Accurate and reliable near-real time information is needed for a sustainable oil palm plantation management, especially on plant quality and health. Airborne remote sensing provides the effective recent agricultural crop information for the oil palm plantation industry planning, management and sustainable development. A study on the characteristic of a matured oil palm plantation in UPM campus was conducted using airborne hyperspectral remote sensing technique. Airborne hyperspectral remote sensing can be used as an effective tool in monitoring the characteristic of oil palm plantation in order to predict and manage the oil palm production. The general objective of this study is to assess the capability and usefulness of UPM-APSB’s AISA airborne hyperspectral sensor to determine the characteristic of a matured oil palm plantation for its sustainable development while the specific objective is to identify, classify and produce the thematic map of matured oil palm plantation in the study site. The age of the oil palm plantation used in this study is 27 years old. Sobel filtering was used to enhance the image. Spectral Angle Mapper (SAM) analysis was then used to classify the characteristic of the plantation within the study area. A thematic map of 27 years old matured oil palm plantation was produced and the characteristic of the oil palm plantation in the study site was identified as 173 healthy, 7 dead, 9 stressed oil palm trees and open areas in the plantation with a mapping accuracy of 93.33%. This has shown that UPM-APSB’s AISA airborne hyperspectral sensor is capable of mapping a matured oil palm plantation with such characteristics for its sustainable management and future development.
Geospatial Information Technology for Conservation of Coastal Forest and Mangroves Environment in Malaysia
Kamaruzaman Jusoff
Computer and Information Science , 2009, DOI: 10.5539/cis.v1n2p129
Abstract: Mangrove forests are one of the most productive and bio-diverse wetlands environments on earth. Yet, these unique coastal tropical forests environment are among the most threatened habitats in the world. Growing in the intertidal areas and estuary mouths between land and sea, mangroves provide critical habitat for a diverse marine and terrestrial flora and fauna. The important need of living being is opportunity to continue their life in sustainable environment and suitable conditions. Potential stand is the place that obtains the possibility of germination and establishment of a plant species according to their physical, chemical, biological demands. In many cases are seen that because of unsuitable selection of site and species, afforestation and reforestation projects after spending time, cost and labor are forced to failure. Therefore, it is an obligation by the relevant authorities, especially Forestry Department to ensure that the rate of seedlings survival in the afforestation and reforestation activities is successfully monitored, mapped and quantified. One of the most efficient techniques available is the use of Geospatial Information Technology consisting of Geographical Information Systems (GIS), Global Positioning System (GPS) and remote sensing (RS). Using this technology and integrating the different thematically maps that shows environmental conditions of specific region, suitable and potential positioning of different species for plantation and rehabilitation programs could be well determined and monitored. For mapping and detection of individual mangrove species for reforestation and afforestation purposes, mathematical functions such as Boolean logic, fuzzy logic, and neural network can be easily applied. It is expected that suitable species-site matching for reforestation and afforestation of mangroves could be implemented with such geospatial tools.
Construction of New Forest Roads in Malaysia Using a GIS-Based Decision Support System
Kamaruzaman Jusoff
Computer and Information Science , 2009, DOI: 10.5539/cis.v1n3p48
Abstract: This paper describes how a Geographical Information System (GIS)-based Decision Support System (DSS) was applied in selecting the most compatible block or compartment to construct a new forest road for a sustainable timber harvesting purposes. The study area was located in Gunong Stong Permanent Forest Reserve, Kelantan, Malaysia between latitude 5o00’ N and 5o25’ N and longitude 101o20’ E and 102o05’ E. Four criteria have been considered in this paper which is timber volume (m3), slope (degree), ground condition and distance from the primary and secondary forest road that previously exists (m). ArcView and ArcMap softwares were used to evaluate all the criteria using remote sensing and field data. Results indicated that the best block that fulfill all the criteria chosen for the new forest road construction is Block Nos. 9 and 11.
Tacit Knowledge Sharing and SMEs’ Organizational Performance
Rohana Ngah,Kamaruzaman Jusoff
International Journal of Economics and Finance , 2009, DOI: 10.5539/ijef.v1n1p216
Abstract: Tacit knowledge (TK) exists in every corner of SME, in its structure and relationship especially in its people. Even though knowledge management will benefit SME as they are rich of tacit knowledge but lacking in expertise, financial capital and infrastructure, knowledge management (KM) is almost impossible for Small and Medium Enterprise (SME) currently. Since SME have efficient and informal communication network, knowledge sharing is essential especially in an organization with scarce resources. Therefore, in the wake of knowledge-based economy, tacit knowledge sharing is the best tool for SME in enhancing competence and organizational performance which suit its needs and background. Tacit knowledge sharing is still at infancy especially in SME.
The Cointegration and Causality Tests for Tourism and Trade in Malaysia
Norsiah Kadir,Kamaruzaman Jusoff
International Journal of Economics and Finance , 2010, DOI: 10.5539/ijef.v2n1p138
Abstract: This paper examines the relationship between tourism and trade that might have evolved in the development of Malaysian economy by using cointegration and causality tests. All analyses have been conducted with quarterly data of international tourism receipts, exports, imports and total trade of Malaysia, over the period of 1995:1 through 2006:4. The results of the unit root tests indicate that the data are stationary in first-difference and not in level. The results of the JJ co integration test however, show that all the series are not cointegrated in the long run, hence, long-run equilibrium did not exist between all the series. Using Granger-causality tests the study found that there is one-way causal effect (unidirectional causality) running from exports to international tourism receipts at 5% significance level. The causality test also shows a one-way causal effect running from imports to international tourist receipts at 5% significance level and total trade to international tourism receipts at 10% significance level. This leads to a conclusion that increase in total trade, exports and imports will cause growth in the tourism sector, which means that most of tourist arrivals are related to business tourism. Therefore, to increase and sustain in the growth of tourism sector, future economic policy should focus more on tourism and trade related, in order to generate more foreign exchange earning to Malaysia.
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