LULCPaper_Submission_Paper_RevNoFields_180730 (1).pdf (1.76 MB)
Download file

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

Download (1.76 MB)
journal contribution
posted on 07.01.2019, 12:09 by Sybrand van Beijma, Julia Chatterton, Susan Page, Chris Rawlings, Richard Tiffin, Henry King
Advances 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.

Funding

The authors would like to thank Agrimetrics and Safety and Environmental Assurance Centre (SEAC) and Unilever R&D for funding this research.

History

Citation

Carbon Management, 2018

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/School of Geography, Geology and the Environment/Physical Geography

Version

AM (Accepted Manuscript)

Published in

Carbon Management

Publisher

Taylor & Francis

issn

1758-3004

eissn

1758-3012

Acceptance date

03/08/2018

Copyright date

2018

Publisher version

https://www.tandfonline.com/doi/full/10.1080/17583004.2018.1511383

Notes

The 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.

Language

en