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.
|Qualification||Doctor of Philosophy|
|Award date||15 Oct 2018|
|Place of Publication||Wageningen|
|Publication status||Published - 2018|