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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’...

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Main Authors: Omar, Hamdan, Ismail, Mohd Hasmadi, Hamzah, Khali Aziz, Abu Hassan, Mohd Hakimi
Format: Conference or Workshop Item
Language:English
Published: Faculty of Forestry, Universiti Putra Malaysia 2013
Online Access:http://psasir.upm.edu.my/id/eprint/58023/1/31-18.pdf
http://psasir.upm.edu.my/id/eprint/58023/
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spelling my.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).
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
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.
format Conference or Workshop Item
author Omar, Hamdan
Ismail, Mohd Hasmadi
Hamzah, Khali Aziz
Abu Hassan, Mohd Hakimi
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
author_facet Omar, Hamdan
Ismail, Mohd Hasmadi
Hamzah, Khali Aziz
Abu Hassan, Mohd Hakimi
author_sort Omar, Hamdan
title 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_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_sort methods for estimating biomass in the tropical forest using remotely sensed data
publisher Faculty of Forestry, Universiti Putra Malaysia
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/58023/1/31-18.pdf
http://psasir.upm.edu.my/id/eprint/58023/
_version_ 1643836661390376960
score 13.211869

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