The challenges of using satellite data sets to assess historical land use change and associated greenhouse gas emissions: a case study of three Indonesian provinces

A - Papers appearing in refereed journals

van Beijma, S., Chatterton, J., Page, S., Rawlings, C. J., Tiffin, R. and King. H. 2018. The challenges of using satellite data sets to assess historical land use change and associated greenhouse gas emissions: a case study of three Indonesian provinces. Carbon Management. 9, pp. 399-413.

Authorsvan Beijma, S., Chatterton, J., Page, S., Rawlings, C. J., Tiffin, R. and King. H.
Abstract

Advances in satellite remote sensing and the wealth of earth observation (EO) data now available have improved efforts towards 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 analysing historical LULC datasets to estimate LULC change and associated greenhouse gas (GHG) emissions. This paper demonstrates the calculation of LULC change from three existing, open source LULC datasets to show how this can lead to significant variation in estimates of GHG emissions related to differences in land classification methodologies, Earth Observation (EO) input data and period of investigation. We focus 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 historic and future LULC change estimates. This paper concludes with a set of recommendations for improvements to ensure consistent LULC mapping.

KeywordsLand Use; Land Cover Change; GHG Emissions; Remote sensing; Palm oil; Sustainability
Year of Publication2018
JournalCarbon Management
Journal citation9, pp. 399-413
Digital Object Identifier (DOI)doi:10.1080/17583004.2018.1511383
Web address (URL)https://www.tandfonline.com/doi/full/10.1080/17583004.2018.1511383
Open accessPublished as non-open access
Output statusPublished
Publication dates
Online20 Dec 2018
Publication process dates
Accepted03 Aug 2018
Copyright licensePublisher copyright
PublisherTaylor & Francis
ISSN1758-3004

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