Affiliations 

  • 1 International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. danylo@iiasa.ac.at
  • 2 International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
  • 3 European Commission Joint Research Centre (JRC), Ispra, Italy
Sci Data, 2021 03 30;8(1):96.
PMID: 33785753 DOI: 10.1038/s41597-021-00867-1

Abstract

In recent decades, global oil palm production has shown an abrupt increase, with almost 90% produced in Southeast Asia alone. To understand trends in oil palm plantation expansion and for landscape-level planning, accurate maps are needed. Although different oil palm maps have been produced using remote sensing in the past, here we use Sentinel 1 imagery to generate an oil palm plantation map for Indonesia, Malaysia and Thailand for the year 2017. In addition to location, the age of the oil palm plantation is critical for calculating yields. Here we have used a Landsat time series approach to determine the year in which the oil palm plantations are first detected, at which point they are 2 to 3 years of age. From this, the approximate age of the oil palm plantation in 2017 can be derived.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.