Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorvan Beijma, Sybrand-
dc.contributor.authorChatterton, Julia-
dc.contributor.authorPage, Susan-
dc.contributor.authorRawlings, Chris-
dc.contributor.authorTiffin, Richard-
dc.contributor.authorKing, Henry-
dc.identifier.citationCarbon Management, 2018en
dc.descriptionThe file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.en
dc.description.abstractAdvances in satellite remote sensing and the wealth of earth observation (EO) data now available have improved efforts toward determining and quantifying historical land use and land cover (LULC) change. Satellite imagery can overcome the absence of accurate records of historical land use; however, the variability observed in the case study regions demonstrates a number of current challenges. Differences in spatial coverage, resolution and land cover classification can lead to challenges in analyzing historical data sets to estimate LULC change and associated GHG emissions. This paper demonstrates the calculation of LULC change from three existing, open-source data sets to show how this can lead to significant variation in estimates of GHG emissions related to differences in land classification methodologies, EO input data and period of investigation. This article focuses on selected regions of Indonesia, where quantifying land use change is important for GHG assessments of agricultural commodities and for evidencing progress against corporate and government deforestation commitments. Given the significance of GHG emissions arising from LULC change and the increasing need for emissions monitoring, this research highlights a need for consensus building to develop consistency in historical and future LULC change estimates. This paper concludes with a set of recommendations for improvements to ensure consistent LULC mapping.en
dc.description.sponsorshipThe authors would like to thank Agrimetrics and Safety and Environmental Assurance Centre (SEAC) and Unilever R&D for funding this research.en
dc.publisherTaylor & Francisen
dc.rightsCopyright © 2018, Taylor & Francis. Deposited with reference to the publisher’s open access archiving policy. (
dc.subjectLand use/land cover changeen
dc.subjectGHG emissionsen
dc.subjectremote sensingen
dc.subjectpalm oilen
dc.titleThe challenges of using satellite data sets to assess historical land use change and associated greenhouse gas emissions: a case study of three Indonesian provincesen
dc.typeJournal Articleen
dc.type.subtypeArticle in Press-
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/School of Geography, Geology and the Environmenten
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/School of Geography, Geology and the Environment/Physical Geographyen
Appears in Collections:Published Articles, Dept. of Geography

Files in This Item:
File Description SizeFormat 
LULCPaper_Submission_Paper_RevNoFields_180730 (1).pdfPost-review (final submitted author manuscript)1.8 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.