Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 400296
Title A pixel based regeneration index using time series similarity and spatial context
Author(s) Lhermitte, S.; Verbesselt, J.; Verstraeten, W.W.; Coppin, P.
Source Photogrammetric Engineering and Remote Sensing 76 (2010)6. - ISSN 0099-1112 - p. 673 - 682.
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Refereed Article in a scientific journal
Publication year 2010
Keyword(s) multitemporal landsat images - thematic mapper data - mediterranean vegetation - forest succession - satellite imagery - spot vegetation - fire severity - avhrr data - tm data - recovery
Abstract Although the regeneration index based on control plots provides a valuable tool to quantify fire impact and subsequent vegetation regrowth, the practical implementation at large scale levels remains limited due to the need for detailed reference maps. The objective of this research therefore was the development of an image-based selection approach for control pixels based on time series similarity (TSS). The TSS approach allows the computation of a perpixel regeneration index on regional to global scale without the need for reference maps. Evaluation of the control plot selection approaches based on un-burnt focal pixels confirmed the validity of the TSS approach and showed optimal results for the TSSRMSD approach with and due to beneficial averaging effects and minimal window size effects. As such, the effects of spatial heterogeneity and noise are minimized and a preliminary quality indicator can be derived
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