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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23882/ http://psasir.upm.edu.my/id/eprint/23882/1/Urban%20tree%20biomass%20estimation%20in%20Universiti%20Putra%20Malaysia.pdf |
| _version_ | 1848844882102190080 |
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| author | Ismail, Mohd Hasmadi Hassan Zaki, Pakhriazad Chew, Pui Chin |
| author_facet | Ismail, Mohd Hasmadi Hassan Zaki, Pakhriazad Chew, Pui Chin |
| author_sort | Ismail, Mohd Hasmadi |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T08:37:59Z |
| format | Article |
| id | upm-23882 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:37:59Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Ismail, Mohd Hasmadi Hassan Zaki, Pakhriazad Chew, Pui Chin Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus. |
| title | 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_short | Urban tree biomass estimation in Universiti Putra Malaysia (UPM) campus. |
| title_sort | urban tree biomass estimation in universiti putra malaysia (upm) campus. |
| url | http://psasir.upm.edu.my/id/eprint/23882/ http://psasir.upm.edu.my/id/eprint/23882/1/Urban%20tree%20biomass%20estimation%20in%20Universiti%20Putra%20Malaysia.pdf |