Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.

Airborne hyperspectral remote sensing in Malaysia is relatively new. The advantage of hyperspectral remote sensing over satellite remote sensing is its ability to take high spatial resolution images. In this study, hyperspectral data were used for classification of individual tree crowns in a tropic...

Full description

Bibliographic Details
Main Authors: Ismail, Mohd Hasmadi, Jusoff, Kamaruzaman, M. A., Nurul Hidayah
Format: Article
Language:English
English
Published: Forest Research Institute Malaysia (FRIM) 2010
Online Access:http://psasir.upm.edu.my/id/eprint/13076/
http://psasir.upm.edu.my/id/eprint/13076/1/Analysis%20of%20crown%20spectral%20characteristic%20and%20tree%20species%20mapping%20of%20tropical%20forest%20using%20hyperspectral%20imaging.pdf
_version_ 1848842012669771776
author Ismail, Mohd Hasmadi
Jusoff, Kamaruzaman
M. A., Nurul Hidayah
author_facet Ismail, Mohd Hasmadi
Jusoff, Kamaruzaman
M. A., Nurul Hidayah
author_sort Ismail, Mohd Hasmadi
building UPM Institutional Repository
collection Online Access
description Airborne hyperspectral remote sensing in Malaysia is relatively new. The advantage of hyperspectral remote sensing over satellite remote sensing is its ability to take high spatial resolution images. In this study, hyperspectral data were used for classification of individual tree crowns in a tropical rainforest. Field spectroradiometer and airborne hyperspectral reflectance spectra (288 bands, 500-850 nm) were acquired from eight species of emergent tree crown in Gunung Stong Forest Reserve, Kelantan, Peninsular Malaysia. Analyses focused on tree crown spectra in a 5 ha plot. Firstly, the spectral characteristic of the tree crown was developed. Next, spectral-based species classifications were performed using spectral angle mapper (SAM) classifiers. Optimal regions of the spectrum for species discrimination varied with scale. Near-infrared (700-850 nm) bands were consistently important regions across all scales. However, the band in the visible region (537-700 nm) was also important at crown scales. This study concluded that high spectral and spatial resolution imagery acquired over tree crown canopy of tropical forest has substantial potential for individual tree species mapping.
first_indexed 2025-11-15T07:52:22Z
format Article
id upm-13076
institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T07:52:22Z
publishDate 2010
publisher Forest Research Institute Malaysia (FRIM)
recordtype eprints
repository_type Digital Repository
spelling upm-130762015-09-28T02:54:12Z http://psasir.upm.edu.my/id/eprint/13076/ Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging. Ismail, Mohd Hasmadi Jusoff, Kamaruzaman M. A., Nurul Hidayah Airborne hyperspectral remote sensing in Malaysia is relatively new. The advantage of hyperspectral remote sensing over satellite remote sensing is its ability to take high spatial resolution images. In this study, hyperspectral data were used for classification of individual tree crowns in a tropical rainforest. Field spectroradiometer and airborne hyperspectral reflectance spectra (288 bands, 500-850 nm) were acquired from eight species of emergent tree crown in Gunung Stong Forest Reserve, Kelantan, Peninsular Malaysia. Analyses focused on tree crown spectra in a 5 ha plot. Firstly, the spectral characteristic of the tree crown was developed. Next, spectral-based species classifications were performed using spectral angle mapper (SAM) classifiers. Optimal regions of the spectrum for species discrimination varied with scale. Near-infrared (700-850 nm) bands were consistently important regions across all scales. However, the band in the visible region (537-700 nm) was also important at crown scales. This study concluded that high spectral and spatial resolution imagery acquired over tree crown canopy of tropical forest has substantial potential for individual tree species mapping. Forest Research Institute Malaysia (FRIM) 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13076/1/Analysis%20of%20crown%20spectral%20characteristic%20and%20tree%20species%20mapping%20of%20tropical%20forest%20using%20hyperspectral%20imaging.pdf Ismail, Mohd Hasmadi and Jusoff, Kamaruzaman and M. A., Nurul Hidayah (2010) Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging. Journal of Tropical Forest Science, 22 (1). pp. 67-73. ISSN 0128-1283 English
spellingShingle Ismail, Mohd Hasmadi
Jusoff, Kamaruzaman
M. A., Nurul Hidayah
Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title_full Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title_fullStr Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title_full_unstemmed Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title_short Analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
title_sort analysis of crown spectral characteristic and tree species mapping of tropical forest using hyperspectral imaging.
url http://psasir.upm.edu.my/id/eprint/13076/
http://psasir.upm.edu.my/id/eprint/13076/1/Analysis%20of%20crown%20spectral%20characteristic%20and%20tree%20species%20mapping%20of%20tropical%20forest%20using%20hyperspectral%20imaging.pdf