Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid

There are currently 153 species of Shorea listed in the International Union for Conservation of Nature and Natural Resources (IUCN) Red list 2013 where Shorea leprocula (Meranti tembaga), Shorea pauciflora king (Meranti nemesu) and Shorea resinosa (Meranti belang) that are found in the Ampang Fo...

Full description

Bibliographic Details
Main Author: Khalid, Nafisah
Format: Book Section
Language:English
Published: Institute of Graduate Studies 2017
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/18826/
http://ir.uitm.edu.my/id/eprint/18826/1/ABS_NAFISAH%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf
id uitm-18826
recordtype eprints
spelling uitm-188262018-01-25T03:44:21Z http://ir.uitm.edu.my/id/eprint/18826/ Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid Khalid, Nafisah Philosophy. Relation to other topics. Methodology GE Environmental Sciences Environmental conditions. Environmental quality. Environmental indicators QE Geology There are currently 153 species of Shorea listed in the International Union for Conservation of Nature and Natural Resources (IUCN) Red list 2013 where Shorea leprocula (Meranti tembaga), Shorea pauciflora king (Meranti nemesu) and Shorea resinosa (Meranti belang) that are found in the Ampang Forest Reserve are listed as endangered species. Due to the current list, mapping and monitoring the forest inventories of this species is necessary to provide the regular report for Reducing Emissions from Deforestation and Degradation (REDD) program especially concerning the accurate estimation of total aboveground biomass in calculating the carbon stock. However, uncertainties in tropical forest remain high because it is costly and laborious to measure the tree variables accurately in relation to quantify the aboveground biomass. Thus, recent remote sensing technology that allows for accurate operational and managerial inventories in a cost effective and timely manner is constantly in demand. In this study, the pan-sharpening Worldview-2 imagery is used to extract the tree crown parameters using object-based image analysis. Three image segmentation methods have examined which are image filtering, combination of image filtering with inverse watershed and multiresolution with local extrema image segmentation... Institute of Graduate Studies 2017 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/18826/1/ABS_NAFISAH%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf Khalid, Nafisah (2017) Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid. In: The Doctoral Research Abstracts. IGS Biannual Publication, 12 (12). Institute of Graduate Studies, Shah Alam.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Philosophy. Relation to other topics. Methodology
GE Environmental Sciences
Environmental conditions. Environmental quality. Environmental indicators
QE Geology
spellingShingle Philosophy. Relation to other topics. Methodology
GE Environmental Sciences
Environmental conditions. Environmental quality. Environmental indicators
QE Geology
Khalid, Nafisah
Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
description There are currently 153 species of Shorea listed in the International Union for Conservation of Nature and Natural Resources (IUCN) Red list 2013 where Shorea leprocula (Meranti tembaga), Shorea pauciflora king (Meranti nemesu) and Shorea resinosa (Meranti belang) that are found in the Ampang Forest Reserve are listed as endangered species. Due to the current list, mapping and monitoring the forest inventories of this species is necessary to provide the regular report for Reducing Emissions from Deforestation and Degradation (REDD) program especially concerning the accurate estimation of total aboveground biomass in calculating the carbon stock. However, uncertainties in tropical forest remain high because it is costly and laborious to measure the tree variables accurately in relation to quantify the aboveground biomass. Thus, recent remote sensing technology that allows for accurate operational and managerial inventories in a cost effective and timely manner is constantly in demand. In this study, the pan-sharpening Worldview-2 imagery is used to extract the tree crown parameters using object-based image analysis. Three image segmentation methods have examined which are image filtering, combination of image filtering with inverse watershed and multiresolution with local extrema image segmentation...
format Book Section
author Khalid, Nafisah
author_facet Khalid, Nafisah
author_sort Khalid, Nafisah
title Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
title_short Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
title_full Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
title_fullStr Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
title_full_unstemmed Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid
title_sort development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / nafisah khalid
publisher Institute of Graduate Studies
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/18826/
http://ir.uitm.edu.my/id/eprint/18826/1/ABS_NAFISAH%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf
first_indexed 2023-09-18T23:01:18Z
last_indexed 2023-09-18T23:01:18Z
_version_ 1777418190738948096