Geoinformatics for better forest management.

Mohd. Hasmadi I., . and Kamaruzaman J., . and Pakhriazad H.Z., . and Frisco N., . (2007) Geoinformatics for better forest management. [Proceedings Paper]

The introduction of geoinformatics technology through forestry in Malaysia has made possible the optimization of current working methods to the extent that precision forest management has become one of the most essential tools for forest management. There is a business need for a continuous up-to-date inventory of forest resources and monitoring environmental change of forest land use form as well as requirement for gathering details information about the location condition and sustainable management of these resources. Universiti Putra Malaysia UPM and Aeroscan Precision M Sdn. Bhd. APSB has conducted a research and development application of geoinformatics technology towards the sustainable forest management using airborne hyperspectral sensor. The AISA sensor was flown over several representative forested areas in Peninsular Malaysia Sabah and Sarawak from July until December 2006. The projects was focused to the lowland hill dipterocarp mountain mixed dipterocarp as well as mangrove forests. Hyperspectral data with 1 meter x 1 meter resolution were analyzed based on the field library of spectral signatures already being developed using field spectrodiometer and stored in the archive. The use of high resolution data and spectral unmixing method of individual tree species assessment of forest inventory and timber volume estimates evaluation of land degradation and conservation. Precise geoinformatics knowledge of the forest resources under study revealed and this is benefited to the development of rapid resource assessment and highly potential to the sustainable forest management and policy implementation in Malaysia and other tropical forest.

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Abstract

The introduction of geoinformatics technology through forestry in Malaysia has made possible the optimization of current working methods to the extent that precision forest management has become one of the most essential tools for forest management. There is a business need for a continuous up-to-date inventory of forest resources and monitoring environmental change of forest land use form as well as requirement for gathering details information about the location condition and sustainable management of these resources. Universiti Putra Malaysia UPM and Aeroscan Precision M Sdn. Bhd. APSB has conducted a research and development application of geoinformatics technology towards the sustainable forest management using airborne hyperspectral sensor. The AISA sensor was flown over several representative forested areas in Peninsular Malaysia Sabah and Sarawak from July until December 2006. The projects was focused to the lowland hill dipterocarp mountain mixed dipterocarp as well as mangrove forests. Hyperspectral data with 1 meter x 1 meter resolution were analyzed based on the field library of spectral signatures already being developed using field spectrodiometer and stored in the archive. The use of high resolution data and spectral unmixing method of individual tree species assessment of forest inventory and timber volume estimates evaluation of land degradation and conservation. Precise geoinformatics knowledge of the forest resources under study revealed and this is benefited to the development of rapid resource assessment and highly potential to the sustainable forest management and policy implementation in Malaysia and other tropical forest.

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Item Type:	Proceedings Paper
Additional Information:	2 ills.; 21 ref. call number: SD235 M3N277 2007
AGROVOC Term:	SENSORS
AGROVOC Term:	REMOTE SENSING
AGROVOC Term:	FORESTRY
AGROVOC Term:	FORESTRY DEVELOPMENT
AGROVOC Term:	FOREST MANAGEMENT
AGROVOC Term:	SUSTAINABILITY
AGROVOC Term:	MALAYSIA
Geographical Term:	MALAYSIA
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 05:13
URI:	http://webagris.upm.edu.my/id/eprint/11083

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