A review on application of hyperspectral imaging to forest resources in Malaysia
Remote sensing application of hyperspectral imaging is relatively new to Malaysian forestry. Through a wide range of wavelengths of hyperspectral data, precise and narrow bands of spectra are captured. Airborne sensors typically offer greatly enhanced spatial and spectral resolution compared to thei...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Terengganu
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12834/ http://psasir.upm.edu.my/id/eprint/12834/1/A%20review%20on%20application%20of%20hyperspectral%20imaging%20to%20forest%20resources%20in%20Malaysia.pdf |
| _version_ | 1848841943853826048 |
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| author | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Mohd Sood, Alias Zaki, Pakhriazad Hassan Mariapan, Manohar |
| author_facet | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Mohd Sood, Alias Zaki, Pakhriazad Hassan Mariapan, Manohar |
| author_sort | Ismail, Mohd Hasmadi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Remote sensing application of hyperspectral imaging is relatively new to Malaysian forestry. Through a wide range of wavelengths of hyperspectral data, precise and narrow bands of spectra are captured. Airborne sensors typically offer greatly enhanced spatial and spectral resolution compared to their satellite counterparts, and are able to control experimental design closely during image acquisition. Hyperspectral imaging for forest inventory in Malaysia was first conducted by The Centre for Precision Agriculture and Bioresource Remote Sensing of Institute of Bioscience, Universiti Putra Malaysia (UPM). This study which was conducted in 2001 used the ISA sensor manufactured in Finland. The main objective was develop methods that are directly suited for practical tropical forestry application at high level of accuracy. Forest inventory and tree classification including development of single spectral signatures of important interest. Studies have shown that retrieval of timber volume and tree discrimination using this system is successful and some is often better than other remote sensing methods. This article reviews the research and application of airborne hyperspectral remote sensing for forest survey and assessment in Malaysia. |
| first_indexed | 2025-11-15T07:51:16Z |
| format | Article |
| id | upm-12834 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:51:16Z |
| publishDate | 2009 |
| publisher | Universiti Malaysia Terengganu |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-128342015-09-29T03:10:12Z http://psasir.upm.edu.my/id/eprint/12834/ A review on application of hyperspectral imaging to forest resources in Malaysia Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Mohd Sood, Alias Zaki, Pakhriazad Hassan Mariapan, Manohar Remote sensing application of hyperspectral imaging is relatively new to Malaysian forestry. Through a wide range of wavelengths of hyperspectral data, precise and narrow bands of spectra are captured. Airborne sensors typically offer greatly enhanced spatial and spectral resolution compared to their satellite counterparts, and are able to control experimental design closely during image acquisition. Hyperspectral imaging for forest inventory in Malaysia was first conducted by The Centre for Precision Agriculture and Bioresource Remote Sensing of Institute of Bioscience, Universiti Putra Malaysia (UPM). This study which was conducted in 2001 used the ISA sensor manufactured in Finland. The main objective was develop methods that are directly suited for practical tropical forestry application at high level of accuracy. Forest inventory and tree classification including development of single spectral signatures of important interest. Studies have shown that retrieval of timber volume and tree discrimination using this system is successful and some is often better than other remote sensing methods. This article reviews the research and application of airborne hyperspectral remote sensing for forest survey and assessment in Malaysia. Universiti Malaysia Terengganu 2009-06 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12834/1/A%20review%20on%20application%20of%20hyperspectral%20imaging%20to%20forest%20resources%20in%20Malaysia.pdf Ismail, Mohd Hasmadi and Jusoff, Kamaruzaman and Mohd Sood, Alias and Zaki, Pakhriazad Hassan and Mariapan, Manohar (2009) A review on application of hyperspectral imaging to forest resources in Malaysia. Journal of Sustainability of Science and Management, 4 (1 ). pp. 75-84. ISSN 1823-8556 |
| spellingShingle | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Mohd Sood, Alias Zaki, Pakhriazad Hassan Mariapan, Manohar A review on application of hyperspectral imaging to forest resources in Malaysia |
| title | A review on application of hyperspectral imaging to forest resources in Malaysia |
| title_full | A review on application of hyperspectral imaging to forest resources in Malaysia |
| title_fullStr | A review on application of hyperspectral imaging to forest resources in Malaysia |
| title_full_unstemmed | A review on application of hyperspectral imaging to forest resources in Malaysia |
| title_short | A review on application of hyperspectral imaging to forest resources in Malaysia |
| title_sort | review on application of hyperspectral imaging to forest resources in malaysia |
| url | http://psasir.upm.edu.my/id/eprint/12834/ http://psasir.upm.edu.my/id/eprint/12834/1/A%20review%20on%20application%20of%20hyperspectral%20imaging%20to%20forest%20resources%20in%20Malaysia.pdf |