Methods for estimating biomass in the tropical forest using remotely sensed data
In the past, remote sensing has been used for forest biomass estimation although with some uncertainties. Several methods have been developed to minimize these uncertainties. This study was carried out to determine the differences in biomass estimation between two approaches, ‘stratify and multiply’...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Faculty of Forestry, Universiti Putra Malaysia
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/58023/1/31-18.pdf |
| _version_ | 1825931728787603456 |
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| author | Omar, Hamdan Ismail, Mohd Hasmadi Hamzah, Khali Aziz Abu Hassan, Mohd Hakimi |
| author_facet | Omar, Hamdan Ismail, Mohd Hasmadi Hamzah, Khali Aziz Abu Hassan, Mohd Hakimi |
| author_sort | Omar, Hamdan |
| collection | UPM |
| description | In the past, remote sensing has been used for forest biomass estimation although with some uncertainties. Several methods have been developed to minimize these uncertainties. This study was carried out to determine the differences in biomass estimation between two approaches, ‘stratify and multiply’ (SM) and ‘direct remote sensing’ (DR). The 3666 ha lowland forest study area was located in the Dungun Timber Complex (DTC), Terengganu. Forest stratification was carried out using SPOT-5 satellite imagery acquired in February 2012. The study area was stratified into four strata, namely, natural virgin, logged-over between 20 to 30 years, 10 to 20 years and less than ten years. Twelve sampling plots were established. The SM approach was employed in areas where the average aboveground biomass (AGB) was calculated on plot basis for each strata. By using the same data from the sampling plots, the DR approach was applied to Phase Array Type L-Band SAR (PALSAR) data acquired in 2010. Total AGB of the study area was calculated based on pixel-size distribution. Results indicated that biomass estimated between these two methods differed. |
| first_indexed | 2024-03-06T09:31:09Z |
| format | Conference or Workshop Item |
| id | upm.eprints-58023 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:31:09Z |
| publishDate | 2013 |
| publisher | Faculty of Forestry, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | upm.eprints-580232018-01-03T08:37:56Z http://psasir.upm.edu.my/id/eprint/58023/ Methods for estimating biomass in the tropical forest using remotely sensed data Omar, Hamdan Ismail, Mohd Hasmadi Hamzah, Khali Aziz Abu Hassan, Mohd Hakimi In the past, remote sensing has been used for forest biomass estimation although with some uncertainties. Several methods have been developed to minimize these uncertainties. This study was carried out to determine the differences in biomass estimation between two approaches, ‘stratify and multiply’ (SM) and ‘direct remote sensing’ (DR). The 3666 ha lowland forest study area was located in the Dungun Timber Complex (DTC), Terengganu. Forest stratification was carried out using SPOT-5 satellite imagery acquired in February 2012. The study area was stratified into four strata, namely, natural virgin, logged-over between 20 to 30 years, 10 to 20 years and less than ten years. Twelve sampling plots were established. The SM approach was employed in areas where the average aboveground biomass (AGB) was calculated on plot basis for each strata. By using the same data from the sampling plots, the DR approach was applied to Phase Array Type L-Band SAR (PALSAR) data acquired in 2010. Total AGB of the study area was calculated based on pixel-size distribution. Results indicated that biomass estimated between these two methods differed. Faculty of Forestry, Universiti Putra Malaysia 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58023/1/31-18.pdf Omar, Hamdan and Ismail, Mohd Hasmadi and Hamzah, Khali Aziz and Abu Hassan, Mohd Hakimi (2013) Methods for estimating biomass in the tropical forest using remotely sensed data. In: International Forestry Graduate Students' Conference 2013 (FORGRAD 2013), 2-4 July 2013, Universiti Putra Malaysia, Serdang, Selangor. (pp. 122-128). |
| spellingShingle | Omar, Hamdan Ismail, Mohd Hasmadi Hamzah, Khali Aziz Abu Hassan, Mohd Hakimi Methods for estimating biomass in the tropical forest using remotely sensed data |
| title | Methods for estimating biomass in the tropical forest using remotely sensed data |
| title_full | Methods for estimating biomass in the tropical forest using remotely sensed data |
| title_fullStr | Methods for estimating biomass in the tropical forest using remotely sensed data |
| title_full_unstemmed | Methods for estimating biomass in the tropical forest using remotely sensed data |
| title_short | Methods for estimating biomass in the tropical forest using remotely sensed data |
| title_sort | methods for estimating biomass in the tropical forest using remotely sensed data |
| url | http://psasir.upm.edu.my/id/eprint/58023/1/31-18.pdf |
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