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Advanced Land Cover Mapping of Tropical Peat Swamp Forest using Discrete Return Lidar

Manuri, Solichin; Andersen, H.; Brack , Cris; Doran, Bruce

Description

The ability to better understand tropical peat ecosystems for restoration and climate change mitigation is often hampered by the lack of availability accurate and detailed data on vegetation cover and hydrologys, which is typically only derived from detailed and high-resolution imaging or field-based measurements. The aims of this study were to explore the potential advantage of airborne discrete-return lidar for mapping of forest cover in peat swamp forests. We used 2.8 pulse.m-1 lidar and the...[Show more]

dc.contributor.authorManuri, Solichin
dc.contributor.authorAndersen, H.
dc.contributor.authorBrack , Cris
dc.contributor.authorDoran, Bruce
dc.date.accessioned2021-05-05T23:15:22Z
dc.date.available2021-05-05T23:15:22Z
dc.identifier.issn2355-6544
dc.identifier.urihttp://hdl.handle.net/1885/232463
dc.description.abstractThe ability to better understand tropical peat ecosystems for restoration and climate change mitigation is often hampered by the lack of availability accurate and detailed data on vegetation cover and hydrologys, which is typically only derived from detailed and high-resolution imaging or field-based measurements. The aims of this study were to explore the potential advantage of airborne discrete-return lidar for mapping of forest cover in peat swamp forests. We used 2.8 pulse.m-1 lidar and the associated 1-m DTM derived from an airborne platform. The lidar dataset fully covered a 120 thousand hectare protection forest in Central Kalimantan. We extracted maximum vegetation heights in 5-m grid resolution to allow detailed mapping of the forest. We followed forest definition from FAO for forest and non-forest classification. We found that lidar was able to capture detail variation of canopy height in highresolution, thus provide more accurate classification. A comparison with existing maps suggested that the lidar-derived vegetation map was more consistent in defining canopy structure of the vegetation, with small standard deviations of the mean height of each class.
dc.description.sponsorshipThe study was supported by the Silva Carbon Program, USA. The lidar dataset was provided by the KFCP-AusAid project and the Indonesian Ministry of Environment and Forestry. Solichin Manuri was supported by Australian Award Scholarship.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherDiponegoro University
dc.rights© 2017 GJGP-UNDIP
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceGeoplanning: Journal of Geomatics and Planning
dc.source.urihttps://ejournal.undip.ac.id/index.php/geoplanning/article/view/12070
dc.subjectLidar
dc.subjectFAO forest definition
dc.subjectcanopy height
dc.subjectforest and land cover mapping
dc.subjectpeat swamp forests
dc.titleAdvanced Land Cover Mapping of Tropical Peat Swamp Forest using Discrete Return Lidar
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume4
dc.date.issued2017
local.identifier.absfor050209 - Natural Resource Management
local.identifier.ariespublicationu4279067xPUB2099
local.publisher.urlhttps://ejournal.undip.ac.id
local.type.statusPublished Version
local.contributor.affiliationManuri, Solichin, College of Science, ANU
local.contributor.affiliationAndersen, H., University of Washington
local.contributor.affiliationBrack, Cristopher, College of Science, ANU
local.contributor.affiliationDoran, Bruce, College of Science, ANU
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage8
local.identifier.doi10.14710/geoplanning.4.1.1-8
local.identifier.absseo960699 - Environmental and Natural Resource Evaluation not elsewhere classified
dc.date.updated2020-11-23T10:10:02Z
dcterms.accessRightsOpen Access
dc.provenanceThis open access article is distributed under a Creative Commons Attribution (CC-BY-NC-SA) 4.0 International license.
dc.rights.licenseCreative Commons Attribution licence
CollectionsANU Research Publications

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