Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest
Spectral variability analysis has been carried out on in-situ hyperspectral remote sensing data for 20 tree species available in tropical forest in Malaysia. Five different spectral ranges have been tested to evaluate the influence of intra-species spectral variability at specific spectral range giv...
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Penerbit UTM Press
2015
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| オンライン･アクセス: | http://eprints.utm.my/id/eprint/55547/1/AlvinLauMengShin2015_SpectralVariabilityAnalysisofInSituHyperspectical.pdf http://eprints.utm.my/id/eprint/55547/ http://dx.doi.org/10.11113/jt.v73.4336 |
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my.utm.555472017-11-01T04:16:59Z http://eprints.utm.my/id/eprint/55547/ Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest Chew, W. C. Lau, Alvin Lau Meng Kanniah, Kasturi Devi Idris, Nurul Hawani G70.39-70.6 Remote sensing Spectral variability analysis has been carried out on in-situ hyperspectral remote sensing data for 20 tree species available in tropical forest in Malaysia. Five different spectral ranges have been tested to evaluate the influence of intra-species spectral variability at specific spectral range given by different spatial scales (i.e. leaf to branch scales). The degree of intra-species spectral variability was not constant among different spectral ranges where the influence of spatial scale towards intra-species spectral variability at these spectral ranges was found increasing from leaf to branch scale. The ratio of leaves to non-photosynthetic tissues has made branch scale significantly influent the intra-species spectral variability. Results have shown that a specific spectral range was species sensitive on the intra-species and inter-species spectral variability in this study. This study also suggested the use of species sensitive wavelengths extracted from specific spectral range in hyperspectral remote sensing data in order to achieve good accuracy in tree species classification. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/55547/1/AlvinLauMengShin2015_SpectralVariabilityAnalysisofInSituHyperspectical.pdf Chew, W. C. and Lau, Alvin Lau Meng and Kanniah, Kasturi Devi and Idris, Nurul Hawani (2015) Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest. Jurnal Teknologi, 73 (5). pp. 179-187. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v73.4336 DOI:10.11113/jt.v73.4336 |
| institution |
Universiti Teknologi Malaysia |
| building |
UTM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Malaysia |
| content_source |
UTM Institutional Repository |
| url_provider |
http://eprints.utm.my/ |
| language |
English |
| topic |
G70.39-70.6 Remote sensing |
| spellingShingle |
G70.39-70.6 Remote sensing Chew, W. C. Lau, Alvin Lau Meng Kanniah, Kasturi Devi Idris, Nurul Hawani Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| description |
Spectral variability analysis has been carried out on in-situ hyperspectral remote sensing data for 20 tree species available in tropical forest in Malaysia. Five different spectral ranges have been tested to evaluate the influence of intra-species spectral variability at specific spectral range given by different spatial scales (i.e. leaf to branch scales). The degree of intra-species spectral variability was not constant among different spectral ranges where the influence of spatial scale towards intra-species spectral variability at these spectral ranges was found increasing from leaf to branch scale. The ratio of leaves to non-photosynthetic tissues has made branch scale significantly influent the intra-species spectral variability. Results have shown that a specific spectral range was species sensitive on the intra-species and inter-species spectral variability in this study. This study also suggested the use of species sensitive wavelengths extracted from specific spectral range in hyperspectral remote sensing data in order to achieve good accuracy in tree species classification. |
| format |
Article |
| author |
Chew, W. C. Lau, Alvin Lau Meng Kanniah, Kasturi Devi Idris, Nurul Hawani |
| author_facet |
Chew, W. C. Lau, Alvin Lau Meng Kanniah, Kasturi Devi Idris, Nurul Hawani |
| author_sort |
Chew, W. C. |
| title |
Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| title_short |
Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| title_full |
Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| title_fullStr |
Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| title_full_unstemmed |
Spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| title_sort |
spectral variability analysis of in-situ hyperspectral remote sensing at leaf and branch scales for tree species at tropical urban forest |
| publisher |
Penerbit UTM Press |
| publishDate |
2015 |
| url |
http://eprints.utm.my/id/eprint/55547/1/AlvinLauMengShin2015_SpectralVariabilityAnalysisofInSituHyperspectical.pdf http://eprints.utm.my/id/eprint/55547/ http://dx.doi.org/10.11113/jt.v73.4336 |
| _version_ |
1643653830274973696 |
| score |
13.251813 |