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Detection of breakpoints in global NDVI time series


de Jong, Rogier; Verbesselt, Jan; Schaepman, Michael E; de Bruin, Sytze (2011). Detection of breakpoints in global NDVI time series. In: 34th International Symposium on Remote Sensing of Environment (ISRSE), Sydney (AUS), 10 April 2011 - 15 April 2011, online.

Abstract

Continuous global time series of vegetation indices, which are available since early 1980s, are of great value to detect changes in vegetation status at large spatial scales. Most change detection methods, however, assume a fixed change trajectory – defined by the start and end of the time series – and a linear or monotonic trend. Here, we apply a change detection method which detects abrupt changes within the time series. This Breaks For Additive Season and Trend (BFAST) approach showed that large parts of the world are subjected to trend changes. The timing of the breakpoints could in some cases be related to satellite changes, but also to large-scale natural influences like the Mt. Pinatubo eruption. Shifts from greening to browning (or vice versa) occurred in 15% of the global land surface, which demonstrates the importance of accounting for trend breaks when analyzing long-term NDVI time series.

Abstract

Continuous global time series of vegetation indices, which are available since early 1980s, are of great value to detect changes in vegetation status at large spatial scales. Most change detection methods, however, assume a fixed change trajectory – defined by the start and end of the time series – and a linear or monotonic trend. Here, we apply a change detection method which detects abrupt changes within the time series. This Breaks For Additive Season and Trend (BFAST) approach showed that large parts of the world are subjected to trend changes. The timing of the breakpoints could in some cases be related to satellite changes, but also to large-scale natural influences like the Mt. Pinatubo eruption. Shifts from greening to browning (or vice versa) occurred in 15% of the global land surface, which demonstrates the importance of accounting for trend breaks when analyzing long-term NDVI time series.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:15 April 2011
Deposited On:16 Apr 2013 07:31
Last Modified:07 Dec 2017 20:59
Publisher:ISPRS
Additional Information:Alternative title: Detection of Breakpoints in Global Greening and Browning Trends
Official URL:http://www.isprs.org/proceedings/2011/ISRSE-34/211104015Final00234.pdf
Related URLs:http://www.isprs.org/proceedings/2011/ISRSE-34/

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