Understanding agricultural drivers of deforestation through remote sensing: opportunities and limitations in sub-Saharan Africa

Working paper
, 55 pages
PDF (3.32 MB)
17593IIED.pdf
Language:
English
Published: December 2016
Publisher(s):
ISBN: 9781784314460
Product code:17593IIED

Effective monitoring of deforestation and cropland expansion in Africa requires reliable estimates of land cover area. However, continental scale land cover datasets generated solely or partially through remote sensing technologies show large differences in the extent and spatial distribution of forest and cropland. In this working paper we identify 14 of the most commonly used land cover data products, summarise their spatial, temporal and thematic properties, and compare their estimates of forest and cropland area.We describe the limitations to land cover data that result from their divergent predictions and discuss the implications for using this data to assess the agricultural drivers of deforestation in Africa.

Cite this publication

Bowers, S., Ryan, C. and Hou Jones, X. (2016). Understanding agricultural drivers of deforestation through remote sensing: opportunities and limitations in sub-Saharan Africa. IIED, London.
Available at https://www.iied.org/17593iied