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Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.

Biomass is a renewable energy source refers to living and recently dead biological materials that can reduce green house effect and clean surroundings. To estimate tree biomass individually from imagery, it is necessary to clarify the relationship between attributes of stand structure obtained by fi...

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Main Authors: Ismail, Mohd Hasmadi, Hassan Zaki, Pakhriazad, Chew, Pui Chin
Format: Article
Language:English
English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23882/1/Urban%20tree%20biomass%20estimation%20in%20Universiti%20Putra%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/23882/
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spelling my.upm.eprints.238822015-09-23T07:42:55Z http://psasir.upm.edu.my/id/eprint/23882/ Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus. Ismail, Mohd Hasmadi Hassan Zaki, Pakhriazad Chew, Pui Chin Biomass is a renewable energy source refers to living and recently dead biological materials that can reduce green house effect and clean surroundings. To estimate tree biomass individually from imagery, it is necessary to clarify the relationship between attributes of stand structure obtained by field measurement and remote sensing image.This study was carried out to estimate tree biomass in Universiti Putra Malaysia (UPM) campus. Five plots were established (40 m x 40 m) and all trees with diameters at breast high (dbh) more than 30 cm , tree height and canopy size were measured. Each trees biomass were calculated by non-destructive method. Results show that tree volume is ranged from 1.75 m3 to 24.73 m3, wood density is ranged from 0.99 t/m3 to 14.10 t/m3. The overall wood densities for five plots (30 trees) are 23.35 t/m3. Meanwhile the biomass estimated is 7,644 t/ha. Study demonstrate strong correlations (p < 0.05) between field measurement and IKONOS tree canopy estimates (r2 = 0.95). The results obtained from the analysis are encouraging especially canopy measurement where it can be incorporated to the existing mensuration models. Estimating tree biomass through satellite images are recommended because remote sensing through image processing has potential to estimate biomass in large area. 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23882/1/Urban%20tree%20biomass%20estimation%20in%20Universiti%20Putra%20Malaysia.pdf Ismail, Mohd Hasmadi and Hassan Zaki, Pakhriazad and Chew, Pui Chin (2011) Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus. Elixir Agriculture, 38 (-). pp. 4140-4142. ISSN 2229-712X English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Biomass is a renewable energy source refers to living and recently dead biological materials that can reduce green house effect and clean surroundings. To estimate tree biomass individually from imagery, it is necessary to clarify the relationship between attributes of stand structure obtained by field measurement and remote sensing image.This study was carried out to estimate tree biomass in Universiti Putra Malaysia (UPM) campus. Five plots were established (40 m x 40 m) and all trees with diameters at breast high (dbh) more than 30 cm , tree height and canopy size were measured. Each trees biomass were calculated by non-destructive method. Results show that tree volume is ranged from 1.75 m3 to 24.73 m3, wood density is ranged from 0.99 t/m3 to 14.10 t/m3. The overall wood densities for five plots (30 trees) are 23.35 t/m3. Meanwhile the biomass estimated is 7,644 t/ha. Study demonstrate strong correlations (p < 0.05) between field measurement and IKONOS tree canopy estimates (r2 = 0.95). The results obtained from the analysis are encouraging especially canopy measurement where it can be incorporated to the existing mensuration models. Estimating tree biomass through satellite images are recommended because remote sensing through image processing has potential to estimate biomass in large area.
format Article
author Ismail, Mohd Hasmadi
Hassan Zaki, Pakhriazad
Chew, Pui Chin
spellingShingle Ismail, Mohd Hasmadi
Hassan Zaki, Pakhriazad
Chew, Pui Chin
Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
author_facet Ismail, Mohd Hasmadi
Hassan Zaki, Pakhriazad
Chew, Pui Chin
author_sort Ismail, Mohd Hasmadi
title Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
title_short Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
title_full Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
title_fullStr Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
title_full_unstemmed Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus.
title_sort urban tree biomass estimation in universiti putra malaysia (upm) campus.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23882/1/Urban%20tree%20biomass%20estimation%20in%20Universiti%20Putra%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/23882/
_version_ 1643828194454798336
score 13.211869

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