Tropical deforestation monitoring using Landsat time series and breakpoint detection

Michael Schultz

Research output: Thesisinternal PhD, WU

Abstract

Landsat time series Breaks For Additive Season and Trend (BFAST) breakpoint detection was identified as an accurate and generic deforestation monitoring device for the tropics. Suitability for time series pre-processing while varying sites and response signals was researched across different study sites in south America, Asia and Africa. Extensive reference data composed of ground truth data and very high resolution data was used to describe error sources and calculate performance accuracies. Machine learning was used to fuse results to create best maps.

Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Wageningen University
Supervisors/Advisors
  • Herold, Martin, Promotor
  • Clevers, Jan, Co-promotor
  • Verbesselt, Jan, Co-promotor
Award date15 Oct 2018
Place of PublicationWageningen
Publisher
Print ISBNs9789463434669
DOIs
Publication statusPublished - 2018

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